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Hauner, Andrew. "Artistic Research as Citational Practice." Acta Academiae Artium Vilnensis, no. 109 (August 14, 2023): 149–62. http://dx.doi.org/10.37522/aaav.109.2023.164.
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Artistic research has helped verify how primary a role creative processes play in not only constructing knowledge but also questioning knowledge elitism. The particular power-knowledge problematics for artistic research – addressed in both academic and artistic ways in this paper – is academic quotation. I first trace critical qualitative inquiry into citation back to feminist ethnography’s so-called citational politics. Then, by methodologizing my own artistic research into the non-distinction between reading and citing academic language, I make it possible for citationality to be holistically understood as interplay between: citation’s technical role in academic writing; its quantitative role in academic capitalism; and its political role in academic positionality. The well-trodden citational genealogies called out by Sara Ahmed are replaced by citational pathways connecting the authoring academic to voices entirely outside the discourse community that is academia in, for example, the arts-based educational research of Camea Davis. In the final analysis, such artistic understandings of citationality – citations that transform what we mean by citation – have the power to redeploy citations as channels of communication for social change.
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Seiber, James N. "“Citation Classics” and Classic Citations inJAFC." Journal of Agricultural and Food Chemistry 58, no. 1 (January 13, 2010): 1–19. http://dx.doi.org/10.1021/jf9040386.
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Lin, Chi-Shiou. "Comparing citation characteristics based on reference entries, in-text citations, and essential citations." Proceedings of the Association for Information Science and Technology 53, no. 1 (2016): 1–4. http://dx.doi.org/10.1002/pra2.2016.14505301090.
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Reinstein, Alan, James R. Hasselback, Mark E. Riley, and David H. Sinason. "Pitfalls of Using Citation Indices for Making Academic Accounting Promotion, Tenure, Teaching Load, and Merit Pay Decisions." Issues in Accounting Education 26, no. 1 (February 1, 2011): 99–131. http://dx.doi.org/10.2308/iace.2011.26.1.99.
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ABSTRACT: With the advent of computerized data searches, the number of accounting programs that use citation analysis to measure faculty members’ research productivity has increased—often believing that this methodology offers relevant or reliable data for tenure, promotion, teaching load, and merit pay decisions. But such “objective” bases often ignore such factors as which journals to count, the effect of co-authorships, and article quality. Reliance on such citations can also cause “uneven playing fields” within the accounting discipline as well as among accounting and other areas or departments within schools of business. After reviewing the relevant literature, we present the results of a survey asking accomplished authors about the factors that make them more or less likely to cite an article. Since the process of counting citations focuses on quantity issues (as all citations “count” equally regardless of the citation’s importance to the research article and the reasons for making the citation), we examine some quality issues that lead to authors citing others’ research findings. The survey results indicate that, while citations often are based on the quality of the cited work, other factors less indicative of quality, such as authorship by a friend or colleague and publication in a U.S. journal, help to determine which relevant works are cited or not cited. We also suggest other measures to assess research quality to supplement or replace citation counts.
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Malkawi, Rami, Mohammad Daradkeh, Ammar El-Hassan, and Pavel Petrov. "A Semantic Similarity-Based Identification Method for Implicit Citation Functions and Sentiments Information." Information 13, no. 11 (November 17, 2022): 546. http://dx.doi.org/10.3390/info13110546.
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Automated citation analysis is becoming increasingly important in assessing the scientific quality of publications and identifying patterns of collaboration among researchers. However, little attention has been paid to analyzing the scientific content of the citation context. This study presents an unsupervised citation detection method that uses semantic similarities between citations and candidate sentences to identify implicit citations, determine their functions, and analyze their sentiments. We propose different document vector models based on TF-IDF weights and word vectors and compare them empirically to calculate their semantic similarity. To validate this model for identifying implicit citations, we used deep neural networks and LDA topic modeling on two citation datasets. The experimental results show that the F1 values for the implicit citation classification are 88.60% and 86.60% when the articles are presented in abstract and full-text form, respectively. Based on the citation function, the results show that implicit citations provide background information and a technical basis, while explicit citations emphasize research motivation and comparative results. Based on the citation sentiment, the results showed that implicit citations tended to describe the content objectively and were generally neutral, while explicit citations tended to describe the content positively. This study highlights the importance of identifying implicit citations for research evaluation and illustrates the difficulties researchers face when analyzing the citation context.
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Vella, Supradeepa. "Predictions of Citations of a Scholarly Paper." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 1735–38. http://dx.doi.org/10.22214/ijraset.2021.37657.
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Abstract: Bibliometrics is a statistical analysis of written publications such as books or articles. A bibliographic citationis a reference to a book, article, web page, or other published item. Thus citations are useful for identifying the progress ofthe particular work and measuring the quality of the research article. The cited papers are downloaded using the crawler. Fromthe downloaded article, identify article relation by analyzing the citation context of the article. So first extract the citation context from the article. Citation context are classifies based on cue phrases of Simon tufel. Next, identify the relation of unlabeled article by word embedding. After labeling all articles identifythe perspective behind the citation of the article. In this project, citation relation is identified based on cue phrases of Simon tufel finally article impact is quantified based on the citation network formed from citation analysis. Index Terms: bibliometrics, citation, word embedding, article
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Khodabakhshi, Najme, Maryam Shekofteh, Maryam Kazerani, and Sara Jambarsang. "Citation Accuracy in Obstetrics and Gynecology Journals indexed in the Web of Science." DESIDOC Journal of Library & Information Technology 41, no. 5 (August 26, 2021): 368–73. http://dx.doi.org/10.14429/djlit.41.5.16620.
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The accuracy of the citations is crucial in scientific writing. The present study aims to investigate the accuracy of citations in the obstetrics and gynecology journals indexed in the Web of Science. Major and minor citation errors, type of errors, and citation errors in the Q1 to Q4 journals investigate as the objectives. The journals were retrieved by searching the “Obstetrics & Gynecology” category in the Journal Citation Report (JCR) in the Web of Science, and journals in different quartiles (Q1-Q4) were identified by applying the JIF Quartile filter. Eight hundred forty citations were selected from articles in the first five Q1 to Q4 journals using systematic sampling and article type citations were included in the study (730 citations). Bibliographic elements were assessed for citation errors. Findings show that 554 citations (75.89 %) involved errors. Only 24.1 per cent of the citations had no errors. The highest citation errors were related to the volume and issue, with 582 major errors (79.72 %). The citation accuracy in the Q2 and Q3 journals is higher than in other journals. The high rate of citation errors, especially in volumes and numbers, indicates that the journals need to pay attention to citation accuracy in these sections and the use of valid and complete citation styles.
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Zhao, Dangzhi, Alicia Cappello, and Lucinda Johnston. "Functions of Uni- and Multi-citations: Implications for Weighted Citation Analysis." Journal of Data and Information Science 2, no. 1 (February 18, 2017): 51–69. http://dx.doi.org/10.1515/jdis-2017-0003.
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AbstractPurpose(1) To test basic assumptions underlying frequency-weighted citation analysis: (a) Uni-citations correspond to citations that are nonessential to the citing papers; (b) The influence of a cited paper on the citing paper increases with the frequency with which it is cited in the citing paper. (2) To explore the degree to which citation location may be used to help identify nonessential citations.Design/methodology/approachEach of the in-text citations in all research articles published in Issue 1 of the Journal of the Association for Information Science and Technology (JASIST) 2016 was manually classified into one of these five categories: Applied, Contrastive, Supportive, Reviewed, and Perfunctory. The distributions of citations at different in-text frequencies and in different locations in the text by these functions were analyzed.FindingsFiltering out nonessential citations before assigning weight is important for frequency-weighted citation analysis. For this purpose, removing citations by location is more effective than re-citation analysis that simply removes uni-citations. Removing all citation occurrences in the Background and Literature Review sections and uni-citations in the Introduction section appears to provide a good balance between filtration and error rates.Research limitationsThis case study suffers from the limitation of scalability and generalizability. We took careful measures to reduce the impact of other limitations of the data collection approach used. Relying on the researcher’s judgment to attribute citation functions, this approach is unobtrusive but speculative, and can suffer from a low degree of confidence, thus creating reliability concerns.Practical implicationsWeighted citation analysis promises to improve citation analysis for research evaluation, knowledge network analysis, knowledge representation, and information retrieval. The present study showed the importance of filtering out nonessential citations before assigning weight in a weighted citation analysis, which may be a significant step forward to realizing these promises.Originality/valueWeighted citation analysis has long been proposed as a theoretical solution to the problem of citation analysis that treats all citations equally, and has attracted increasing research interest in recent years. The present study showed, for the first time, the importance of filtering out nonessential citations in weighted citation analysis, pointing research in this area in a new direction.
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Sibanda, Jabulani. "Citation Mania in Academic Theses Writing: A Case Study." Academic Journal of Interdisciplinary Studies 9, no. 4 (July 10, 2020): 219. http://dx.doi.org/10.36941/ajis-2020-0077.
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This study, premised on the assumption that students over-use citations in academic writing, investigated manifestations of over-citation in three PhD theses. A review of diverse pragmatic functions citations serve, helped in the identification of needless citations which lacked consonance with any of the functions. A content-context analysis of the pragmatic function of each citation in the three theses, revealed over-citation and superfluity in the theses. Manifestations of over-citation included: expressing general or common-sense information; using multiple citations to make a simple point; citing sources to express what the writer did; attributing own deductions and inferences to authors; not following-up on citations; repeating concepts and attendant citations in different parts of the thesis; making most thesis sections literature sections; citing individual words not ideas, unclear content of citation, independent citation of each source for the same idea, over-using a source within a paragraph or section, citing back to back, evincing citation density to the eye. On the basis of the varied manifestations of over-citation and the extent of its compromise on the quality of student presentations, the study recommends sustained efforts in developing sound academic writing skills even at postgraduate levels, and sensitisation of students to pragmatic purposes citations should serve.
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Shah, Tariq Ahmad, Sumeer Gul, and Ramesh C. Gaur. "Authors self-citation behaviour in the field of Library and Information Science." Aslib Journal of Information Management 67, no. 4 (July 20, 2015): 458–68. http://dx.doi.org/10.1108/ajim-10-2014-0134.
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Purpose – The purpose of this paper is to analyse the author self-citation behavior in the field of Library and Information Science. Various factors governing the author self-citation behavior have also been studied. Design/methodology/approach – The 2012 edition of Social Science Citation Index was consulted for the selection of LIS journals. Under the subject heading “Information Science and Library Science” there were 84 journals and out of these 12 journals were selected for the study based on systematic sampling. The study was confined to original research and review articles that were published in select journals in the year 2009. The main reason to choose 2009 was to get at least five years (2009-2013) citation data from Web of Science Core Collection (excluding Book Citation Index) and SciELO Citation Index. A citation was treated as self-citation whenever one of the authors of citing and cited paper was common, i.e., the set of co-authors of the citing paper and that of the cited one are not disjoint. To minimize the risk of homonyms, spelling variances and misspelling in authors’ names, the authors compared full author names in citing and cited articles. Findings – A positive correlation between number of authors and total number of citations exists with no correlation between number of authors and number/share of self-citations, i.e., self-citations are not affected by the number of co-authors in a paper. Articles which are produced in collaboration attract more self-citations than articles produced by only one author. There is no statistically significant variation in citations counts (total and self-citations) in works that are result of different types of collaboration. A strong and statistically significant positive correlation exists between total citation count and frequency of self-citations. No relation could be ascertained between total citation count and proportion of self-citations. Authors tend to cite more of their recent works than the work of other authors. Total citation count and number of self-citations are positively correlated with the impact factor of source publication and correlation coefficient for total citations is much higher than that for self-citations. A negative correlation exhibits between impact factor and the share of self-citations. Of particular note is that the correlation in all the cases is of weak nature. Research limitations/implications – The research provides an understanding of the author self-citations in the field of LIS. readers are encouraged to further the study by taking into account large sample, tracing citations also from Book Citation Index (WoS) and comparing results with other allied subjects so as to validate the robustness of the findings of this study. Originality/value – Readers are encouraged to further the study by taking into account large sample, tracing citations also from Book Citation Index (WoS) and comparing results with other allied subjects so as to validate the robustness of the findings of this study.
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RICE, RONALD E., CHRISTINE L. BORGMAN, and BYRON REEVES. "Citation Networks of Communication Journals, 1977?1985 Cliques and Positions, Citations Made and Citations Received." Human Communication Research 15, no. 2 (December 1988): 256–83. http://dx.doi.org/10.1111/j.1468-2958.1988.tb00184.x.
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Nisonger, Thomas E. "Citation Autobiography: An Investigation of ISI Database Coverage in Determining Author Citedness." College & Research Libraries 65, no. 2 (March 1, 2004): 152–63. http://dx.doi.org/10.5860/crl.65.2.152.
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This article presents a case study investigating the coverage completeness of the Institute for Scientific Information’s citation data for specific authors, based on analysis of this author’s lifetime citation record, which was compiled through the ISI database, searching the literature for nearly fifteen years, and through various Web search engines. It was found that (with self-citations disregarded) the ISI captured 28.8 percent of the total citations, 42.2 percent of print citations, 20.3 percent of citations from outside the United States, and 2.3 percent of non-English citations. The definition and classification of Web citations are discussed. It is suggested that librarians and faculty should not rely solely on ISI author citation counts, especially when demonstration of international impact is important.
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Giri, Rabishankar. "Influence of selected factors in journals’ citations." Aslib Journal of Information Management 71, no. 1 (January 21, 2019): 90–104. http://dx.doi.org/10.1108/ajim-07-2017-0170.
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Purpose The purpose of this paper is to explore the influence of selected factors in journal citations. Various factors can affect citations distribution of journals. Among them, skewness of citations distribution, author self-citation, journal self-citation and recitations (RCs) have been studied. Design/methodology/approach The present study based on 16 systematically selected journals indexed in Scopus under the subject category “Library and Information Science.” The study was confined to original research and review articles that were published in the selected journals in the year 2011. The temporal citation window from 2011 to 2014 was taken for analysis. Tools like, Scopus author ID, ORCID and author profiles from Google Scholar were used to minimize the error due to homonyms, spelling variances and misspelling in authors’ names. Findings It is found that citations distribution in majority of the journals under the study is highly skewed and more likely to follow log-normal distribution. The nature of authorship in papers was found to have positive effect on citation counts. Self-citing data show that higher ranked journals have rather less direct impact on total citation counts than their lower counterpart. RCs are also found to be more in top-tier journals. Though the influence of self-citations and RCs were relatively less at individual level on total citations of journals but combined, they can play a dominant role and can affect total citation counts of journals at significant level. Research limitations/implications The present study is based on Scopus database only. Therefore, citation data can be affected by the inherent limitation of Scopus. Readers are encouraged to further the study by taking into account large sample and tracing citations from an array of citation indexes, such as Web of Science, Google citations, Indian Citation Index, etc. Originality/value This paper reinforces that the citations received by journals can be affected by the factors selected in this study. Therefore, the study provides better understanding of the role of these selected factors in journal citations.
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Yaroshenko, Tetiana, and Oleksandra Yaroshenko. "Interdependencies in Citation Metrics Using Dimensions (Case Study of Two NAUKMA Journals)." Ukrainian Journal on Library and Information Science, no. 7 (June 4, 2021): 84–99. http://dx.doi.org/10.31866/2616-7654.7.2021.233303.
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Quantitative data are increasingly influencing the evaluation of the effectiveness of research and researchers. Citations may be the main metric to assess the quality and value of a publication, the number of which evaluates the academic impact. Who and how is citing Ukrainian scholarly journals? And speaking about citations, what are the main connections and trends? To study these aspects, we analyzed the citations of two “young” Ukrainian journals published by the National University of Kyiv-Mohyla Academy. The authors searched for articles published by two journals (Kyiv-Mohyla Humanities Journal and Kyiv-Mohyla Law and Politics Journal) in the citation databases Dimensions, Web of Science and Scopus. With the help of bibliometric analysis, such indicators as: citation; self-citation of the author; self-citation of the journal; citations from the author affiliated with the publisher of the journal; citations from the author who has a joint affiliation with the author of the article; Altmetric Attention Score. The purpose of the study is to distinguish the publications impact in various fields of knowledge in Open Access journals for researchers around the world, the growing number of citations for English-language publications, the importance of international publishing standards, correlations for self-citation, etc. An important aim is also to summarize the importance of journal indexing in different databases. The study showed that the number of journal citations is primarily influenced by the thematic relevance of published materials. Including, the subject of the article (volume, issue) has a strong correlation with the dynamics and geography of the citations. The number of self-citations of authors, self-citations of the journal, as well as citations from the joint affiliation with the author and publisher was insignificant. No significant impact on the number of citations was also found in the date of publication and its distribution on the Internet (Altmetric). Journal indexing in abstract, full-text databases and citation databases also affects their visibility and audience.
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R, Senthilkumar, Ulaganathan G, and Muthukrishnan M. "CITATION ANALYSIS OF THE “JOURNAL OF DIGITAL INFORMATION MANAGEMENT”." Kongunadu Research Journal 3, no. 1 (June 30, 2016): 88–90. http://dx.doi.org/10.26524/krj137.
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This paper presents a Citation Analysis of the Journal of Digital Information Management for the period between 2010 to 2014. The analysis covers mainly the Volume-wise Distribution of Citations, Distribution of Citations According to Bibliographic Forms, Authorship Pattern of Citations, Chronological Distribution of Citations, Author self citation. All the studies point towards the merits and weaknesses of the Journal which will be helpful for its further development. The study reveals that the average citations per article are 17.64. The study also found that journals/serial publications remain the most useful source of information 1896 (41.28%) out of a total 4593 citations.
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Zhan, Hongwei, and Xiangjun Shi. "Explicitness of Attribution in Academic Discourse." International Journal of Translation, Interpretation, and Applied Linguistics 4, no. 1 (January 1, 2022): 1–13. http://dx.doi.org/10.4018/ijtial.304075.
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Academic discourse is a kind of dialogic interaction between scholars and the interplay of ‘averral’ and ‘attribution’. Citation, as source using, is the means of attributing the borrowed propositions to a particular source. This study addresses the issue of classifying citations. By comparing the classification scheme of integral citations with that of non-integral citations, we argue for the necessity of a form-based scheme. A new typology of non-integral citations is proposed according to their formal features. The sub-types of citation (e.g. Chorus-citation, Solo-citation) are characterized along the continuum of attribution explicitness, ranging from low to high.
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Silva, Filipi Nascimento, Aditya Tandon, Diego Raphael Amancio, Alessandro Flammini, Filippo Menczer, Staša Milojević, and Santo Fortunato. "Recency predicts bursts in the evolution of author citations." Quantitative Science Studies 1, no. 3 (August 2020): 1298–308. http://dx.doi.org/10.1162/qss_a_00070.
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The citations process for scientific papers has been studied extensively. But while the citations accrued by authors are the sum of the citations of their papers, translating the dynamics of citation accumulation from the paper to the author level is not trivial. Here we conduct a systematic study of the evolution of author citations, and in particular their bursty dynamics. We find empirical evidence of a correlation between the number of citations most recently accrued by an author and the number of citations they receive in the future. Using a simple model where the probability for an author to receive new citations depends only on the number of citations collected in the previous 12–24 months, we are able to reproduce both the citation and burst size distributions of authors across multiple decades.
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Frachtenberg, Eitan. "Citation analysis of computer systems papers." PeerJ Computer Science 9 (May 16, 2023): e1389. http://dx.doi.org/10.7717/peerj-cs.1389.
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Citation analysis is used extensively in the bibliometrics literature to assess the impact of individual works, researchers, institutions, and even entire fields of study. In this article, we analyze citations in one large and influential field within computer science, namely computer systems. Using citation data from a cross-sectional sample of 2,088 papers in 50 systems conferences from 2017, we examine four research areas of investigation: overall distribution of systems citations; their evolution over time; the differences between databases (Google Scholar and Scopus), and; the characteristics of self-citations in the field. On citation distribution, we find that overall, systems papers were well cited, with the most cited subfields and conference areas within systems being security, databases, and computer architecture. Only 1.5% of papers remain uncited after five years, while 12.8% accrued at least 100 citations. For the second area, we find that most papers achieved their first citation within a year from publication, and the median citation count continued to grow at an almost linear rate over five years, with only a few papers peaking before that. We also find that early citations could be linked to papers with a freely available preprint, or may be primarily composed of self-citations. For the third area, it appears that the choice of citation database makes little difference in relative citation comparisons, despite marked differences in absolute counts. On the fourth area, we find that the ratio of self-citations to total citations starts relatively high for most papers but appears to stabilize by 12–18 months, at which point highly cited papers revert to predominately external citations. Past self-citation count (taken from each paper’s reference list) appears to bear little if any relationship with the future self-citation count of each paper. The primary practical implication of these results is that the impact of systems papers, as measured in citations, tends to be high relative to comparable studies of other fields and that it takes at least five years to stabilize. A secondary implication is that at least for this field, Google Scholar appears to be a reliable source of citation data for relative comparisons.
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Small, H., and E. Sweeney. "Clustering thescience citation index ® using co-citations." Scientometrics 7, no. 3-6 (March 1985): 391–409. http://dx.doi.org/10.1007/bf02017157.
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Smith, Linda C. "Citation life cycle: Use of citations through time." Library & Information Science Research 16, no. 1 (December 1994): 69–71. http://dx.doi.org/10.1016/0740-8188(94)90044-2.
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Baccini, Alberto, and Eugenio Petrovich. "A global exploratory comparison of country self-citations 1996-2019." PLOS ONE 18, no. 12 (December 29, 2023): e0294669. http://dx.doi.org/10.1371/journal.pone.0294669.
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Self-citations are a key topic in evaluative bibliometrics because they can artificially inflate citation-related performance indicators. Recently, self-citations defined at the largest scale, i.e., country self-citations, have started to attract the attention of researchers and policymakers. According to a recent research, in fact, the anomalous trends in the country self-citation rates of some countries, such as Italy, have been induced by the distorting effect of citation metrics-centered science policies. In the present study, we investigate the trends of country self-citations in 50 countries over the world in the period 1996-2019 using Scopus data. Results show that for most countries country self-citations have decreased over time. 12 countries (Colombia, Egypt, Indonesia, Iran, Italy, Malaysia, Pakistan, Romania, Russian Federation, Saudi Arabia, Thailand, and Ukraine), however, exhibit different behavior, with anomalous trends of self-citations. We argue that these anomalies should be attributed to the aggressive science policies adopted by these countries in recent years, which are all characterized by direct or indirect incentives for citations. Our analysis confirms that when bibliometric indicators are integrated into systems of incentives, they are capable of affecting rapidly and visibly the citation behavior of entire countries.
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Long, Timothy R., John D. Poe, Richard S. Zimmerman, and Steven H. Rose. "A Citation Tracking System to Facilitate Sponsoring Institution Oversight of ACGME-Accredited Programs." Journal of Graduate Medical Education 4, no. 4 (December 1, 2012): 500–504. http://dx.doi.org/10.4300/jgme-d-11-00313.1.
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Abstract Background The Accreditation Council for Graduate Medical Education (ACGME) requires the graduate medical education committee and the designated institutional official to ensure that citations for noncompliance with the accreditation standards and institutional trends in citations are reviewed and corrected. Objective To describe a citation tracking system (CTS) that uses Microsoft Office Access to efficiently catalogue, monitor, and document resolution of citations. Innovation The CTS was implemented in a sponsoring institution with oversight of 133 ACGME-accredited programs. The designated institutional official and the graduate medical education committee review all program letters of notification and enter citations into the CTS. A program-correction plan is required for each citation and is entered into the database. Open citations and action plans are reviewed by the graduate medical education committee and the designated institutional official on a quarterly basis, with decisions ranging from “closing” the citation to approving the action plan in process to requiring a new or modified action plan. Citation categories and subcategories are accessed on the ACGME website and entered into the CTS to identify trends. Results All 236 citations received since the 2006 Mayo School of Graduate Medical Education institutional site visit were entered into the CTS. On November 22, 2011, 26 of 236 citations (11%) were in active status with ongoing action plans, and 210 (89%) citations had been resolved and were closed. Conclusions The CTS uses commercially available software to ensure citations are monitored and addressed and to simplify analysis of citation trends. The approach requires minimal staff time for data input and updates and can be performed without institutional information technology assistance.
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R, Senthilkumar, and Ulaganathan G. "MAPPING OF RESEARCH PRODUCTIVITY IN SRM UNIVERSITY: A SCIENTOMETRIC STUDY." Kongunadu Research Journal 4, no. 3 (December 30, 2017): 103–7. http://dx.doi.org/10.26524/krj241.
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This paper discusses about the published research articles and its citation available in the Indian Citation Index by the authors from SRM University. The relevant data are collected from Indian Citation Index and it was analyzed. It shows among the 510 articles, the maximum of 157(30.78%) articles published in 2015 and minimum of 1 (0.20%) articles published in 2005. Based on the citation during the period 153 citations were made. Among the 153 Citations, maximum of 32 (20.92%) citations in 2010 and minimum number of citation 1 (0.65%) in 2006 & 2007, was identified.
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Asaad, Malke, Austin Paul Kallarackal, Jesse Meaike, Aashish Rajesh, Rafael U. de Azevedo, and Nho V. Tran. "Citation Skew in Plastic Surgery Journals: Does the Journal Impact Factor Predict Individual Article Citation Rate?" Aesthetic Surgery Journal 40, no. 10 (November 20, 2019): 1136–42. http://dx.doi.org/10.1093/asj/sjz336.
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Abstract Background Citation skew refers to the unequal distribution of citations to articles published in a particular journal. Objectives We aimed to assess whether citation skew exists within plastic surgery journals and to determine whether the journal impact factor (JIF) is an accurate indicator of the citation rates of individual articles. Methods We used Journal Citation Reports to identify all journals within the field of plastic and reconstructive surgery. The number of citations in 2018 for all individual articles published in 2016 and 2017 was abstracted. Results Thirty-three plastic surgery journals were identified, publishing 9823 articles. The citation distribution showed right skew, with the majority of articles having either 0 or 1 citation (40% and 25%, respectively). A total of 3374 (34%) articles achieved citation rates similar to or higher than their journal’s IF, whereas 66% of articles failed to achieve a citation rate equal to the JIF. Review articles achieved higher citation rates (median, 2) than original articles (median, 1) (P < 0.0001). Overall, 50% of articles contributed to 93.7% of citations and 12.6% of articles contributed to 50% of citations. A weak positive correlation was found between the number of citations and the JIF (r = 0.327, P < 0.0001). Conclusions Citation skew exists within plastic surgery journals as in other fields of biomedical science. Most articles did not achieve citation rates equal to the JIF with a small percentage of articles having a disproportionate influence on citations and the JIF. Therefore, the JIF should not be used to assess the quality and impact of individual scientific work.
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Payson, Steven. "Cite This Economics Paper! It Is Time for the House of Cards to Fall Down." Open Economics 2, no. 1 (May 22, 2019): 1–18. http://dx.doi.org/10.1515/openec-2019-0001.
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AbstractThis paper takes a fresh look at citation counts and publications in top-rank journals, which the academic economics profession uses to evaluate and promote its members. It first examines how and why citations are mentioned in an article, and what this implies about their counts. The discussion then examines how average citation counts to articles are used to rank journals, and the paper reviews the concerns that have been expressed about this practice. These concerns identify the large variance in citation counts among articles of the same journal, implying that those articles themselves must vary greatly in quality (Engemann and Wall 2009). To address these concerns, the paper proposes the classification of citations into three categories: Fodder Citations (for references that contribute only trivially to a paper), Relevant Citations (which substantively contribute to the paper, though the paper would remain roughly the same without them), and Essential Citations (which have a major influence). The paper argues that counts of citations by the last two categories offers greater credibility in the application of citation counts to evaluate economic literature. Finally, the paper provides an opportunity for economists to participate in a new project that solicits information on citations by these categories.
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Chapman, Karen, and Alexander E. Ellinger. "An evaluation of Web of Science, Scopus and Google Scholar citations in operations management." International Journal of Logistics Management 30, no. 4 (November 11, 2019): 1039–53. http://dx.doi.org/10.1108/ijlm-04-2019-0110.
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Purpose Ongoing deliberation about how research productivity should be measured is exacerbated by extensive disparity between the number of citations for scholarly works reported by commercial academic search engines and Google Scholar (GS), the premier web crawling service for discovering research citations. Disparities identified in citation comparison studies have also led to disagreement about the value of the higher number of citations for social sciences and business scholarly articles consistently reported by GS. The purpose of this paper is to extend previous database citation comparison studies by manually analyzing a sample of unique GS citations to a leading operations management journal (i.e. citations found only in GS and not the commercial search engines) to reveal just where these additional citations are coming from. Design/methodology/approach In addition to comparing citation counts for the three databases, unique GS citation data for the sample of journal articles was manually captured and reviewed. The authors’ approach provides a much more in-depth examination of the provenance of GS citations than is found in previous studies. Findings The findings suggest that concerns about the value of unique GS citations may not be warranted since the document types for the unique GS citing documents identified in the analysis are dominated by familiar scholarly formats. Predominantly authentic and validated journal publications, dissertations, conference papers, and book and book chapters accounted for the large majority of the unique GS citations analyzed. Practical implications The study lends further credence to contentions that the use of citations reported in GS is appropriate for evaluating research impact in disciplines where other formats beyond the English-language journal article are valued. Originality/value Developing a more informed understanding of the provenance of unique GS citations in the authors’ field is important because many scholars not only aspire to publish in elite journals with high impact factors based on citation counts provided by commercial databases to demonstrate quality, but also report the larger number of citations for their publications that are reported by GS to demonstrate impact. The in-depth manual analysis suggests that GS provides a more nuanced and comprehensive representation of research impact and international scope than the commercial databases.
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Hassan, Nik Rushdi, and Alexander Serenko. "Patterns of citations for the growth of knowledge: a Foucauldian perspective." Journal of Documentation 75, no. 3 (May 13, 2019): 593–611. http://dx.doi.org/10.1108/jd-08-2018-0125.
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Purpose The purpose of this paper is to sensitize researchers to qualitative citation patterns that characterize original research, contribute toward the growth of knowledge and, ultimately, promote scientific progress. Design/methodology/approach This study describes how ideas are intertextually inserted into citing works to create new concepts and theories, thereby contributing to the growth of knowledge. By combining existing perspectives and dimensions of citations with Foucauldian theory, this study develops a typology of qualitative citation patterns for the growth of knowledge and uses examples from two classic works to illustrate how these citation patterns can be identified and applied. Findings A clearer understanding of the motivations behind citations becomes possible by focusing on the qualitative patterns of citations rather than on their quantitative features. The proposed typology includes the following patterns: original, conceptual, organic, juxtapositional, peripheral, persuasive, acknowledgment, perfunctory, inconsistent and plagiaristic. Originality/value In contrast to quantitative evaluations of the role and value of citations, this study focuses on the qualitative characteristics of citations, in the form of specific patterns of citations that engender original and novel research and those that may not. By integrating Foucauldian analysis of discourse with existing theories of citations, this study offers a more nuanced and refined typology of citations that can be used by researchers to gain a deeper semantic understanding of citations.
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Tikhonova, Elena, and Lilia Raitskaya. "Citations and References: Guidelines on Literature Practices." Journal of Language and Education 8, no. 3 (September 30, 2022): 5–10. http://dx.doi.org/10.17323/jle.2022.15960.
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Introduction. Citations of scholarly publications are considered an efficient measure of productivity of research and researchers. They are part of scholarly communication, driving the evolving knowledge in all disciplines. Citations form an integral part of literature practices of researchers. The latter are prone to deliberate or unconscious biases. One of the challenges all researchers face is to overcome or at least mitigate identified biases in citation. It may lead to distorting knowledge development in the least possible way.
Purpose. As the research of citations is on the rise, more theoretical background is being developed. The editors call the JLE readers attention to the Triangular Citations, with various relationships among publications formed by citations.
Results. Empirical studies are not unanimous in defining the features that affect citations most. Most researchers highlight a publication source as the most influential feature, with multi feature approach favoured by the academic community at large. Other features entail features relating to authors, journal, and publication itself. Moreover, there are varieties across the disciplines. The field of research of citation behaviour is only beginning to widen. The focus of such research is made on citation behaviour patterns, individual incentives behind the references and citations aligned with financial or reputation stimuli, and citations patterns linked to citation behaviour. Bias in citation threatens to distort knowledge and may evolve it subtly or obviously in a specific direction. Biases are not easy to deal with. In addition, values and mindsets vary across the countries and academic and scholarly communities that hinders efforts to overcome biases.
Implications. The JLE editors sum up the best guidelines on improvements in publications that add to greater citations, with the high quality of articles as the key.
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Standvoss, Kai, Vartan Kazezian, Britta R. Lewke, Kathleen Bastian, Shambhavi Chidambaram, Subhi Arafat, Ubai Alsharif, et al. "Shortcut citations in the methods section: Frequency, problems, and strategies for responsible reuse." PLOS Biology 22, no. 4 (April 2, 2024): e3002562. http://dx.doi.org/10.1371/journal.pbio.3002562.
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Methods sections are often missing essential details. Methodological shortcut citations, in which authors cite previous papers instead of describing the method in detail, may contribute to this problem. This meta-research study used 3 approaches to examine shortcut citation use in neuroscience, biology, and psychiatry. First, we assessed current practices in more than 750 papers. More than 90% of papers used shortcut citations. Other common reasons for using citations in the methods included giving credit or specifying what was used (who or what citation) and providing context or a justification (why citation). Next, we reviewed 15 papers to determine what can happen when readers follow shortcut citations to find methodological details. While shortcut citations can be used effectively, they can also deprive readers of essential methodological details. Problems encountered included difficulty identifying or accessing the cited materials, missing or insufficient descriptions of the cited method, and shortcut citation chains. Third, we examined journal policies. Fewer than one quarter of journals had policies describing how authors should report previously described methods. We propose that methodological shortcut citations should meet 3 criteria; cited resources should provide (1) a detailed description of (2) the method used by the citing authors’, and (3) be open access. Resources that do not meet these criteria should be cited to give credit, but not as shortcut citations. We outline actions that authors and journals can take to use shortcut citations responsibly, while fostering a culture of open and reproducible methods reporting.
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MANLEY, STEWART. "Citation Practices of the International Criminal Court: The Situation in Darfur, Sudan." Leiden Journal of International Law 30, no. 4 (September 4, 2017): 1003–26. http://dx.doi.org/10.1017/s0922156517000413.
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AbstractThis article analyzes the 9,203 citations made by the International Criminal Court (ICC) in its cases involving Sudan. To date, few empirical studies have assessed the citation practices of courts and even fewer of international courts. The data is rich. It reveals, for instance, the changing nature of the Court's citations over time, the disproportionate distribution of citations among chambers, the potential impact of party pleadings on citations, and the allocation of citations to previous rulings of the Court, other international tribunals and domestic courts. The article also explores possible explanations for the patterns that emerge and assesses what the patterns may mean for the Court. Unlike most other citation analyses, the study provides the additional benefit of having categorized the citations based on their function, distinguishing for instance between citations that the Court uses to help it decide legal and factual issues, and those it does not.
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Haque, Md Enamul. "The Journal of Poultry Science: An Analysis of Citation Pattern." Eastern Librarian 23, no. 1 (October 9, 2012): 64–73. http://dx.doi.org/10.3329/el.v23i1.12121.
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This paper reports the results of the citation analysis of The Journal of Poultry Science (JPS). The major objectives of the study from the year 2001 to 2010 are to find out the authorship and citation patterns of articles appeared in the JPS. The total 425 articles were published during the period. Overall 13012 citations featuring 425 contributors have been made. Among the citations, journal articles accounted for 84%, books 8% and anothers 8%. The ratio of Author Self Citation to total citations is 1:16. The ratio of Journal Self Citation to total citations 1:58. It is also clear that majority of the documents 10102 (78%) cited in these issues were published not more than 20 years ago. DOI: http://dx.doi.org/10.3329/el.v23i1.12121 Eastern Librarian Vol.23(1) 2012 pp.64-73
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Anyassari, Nugrahaningtyas Fatma. "TYPES OF CITATIONS IN INDONESIAN EXEMPLARY THESES." Pelita : Jurnal Penelitian dan Karya Ilmiah 21, no. 1 (June 20, 2021): 117–29. http://dx.doi.org/10.33592/pelita.v21i1.1220.
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Citation, an indispensible aspect in academic writing, has recently been receiving considerable research attention. This present study empirically delves into citation practices in Master’s theses written by Indonesian student writers. This study employed corpus-based approach. Applying a purposive sampling, there were 7 exemplary theses included in this study. From those theses, it generated 305 citations which then were built as the corpus. A corpus toolkit AntConc3.4.3w was chosen to assist the analysis. Types of citations were analyzed based on Thompson and Tribble’s (2001) framework. Corpus analysis on types of citations revealed that Verb Controlling was more favoured; while Reference form was totally absent. Since citing contributes to succesful writers, this study suggests that citation practices particularly types of citations need to be inculcated in the classroom to help the student writers develop citation skill.
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Pavlovic, Vedrana, Tracey Weissgerber, Dejana Stanisavljevic, Tatjana Pekmezovic, Ognjen Milicevic, Jelena Milin Lazovic, Andja Cirkovic, et al. "How accurate are citations of frequently cited papers in biomedical literature?" Clinical Science 135, no. 5 (March 2021): 671–81. http://dx.doi.org/10.1042/cs20201573.
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Abstract Citations are an important, but often overlooked, part of every scientific paper. They allow the reader to trace the flow of evidence, serving as a gateway to relevant literature. Most scientists are aware of citations’ errors, but few appreciate the prevalence of these problems. The purpose of the present study was to examine how often frequently cited papers in biomedical scientific literature are cited inaccurately. The study included an active participation of the first authors of included papers; to first-hand verify the citations accuracy. Findings from feasibility study, where we reviewed 1540 articles containing 2526 citations of 14 most cited articles in which the authors were affiliated with the Faculty of Medicine University of Belgrade, were further evaluated for external confirmation in an independent verification set of articles. Verification set included 4912 citations identified in 2995 articles that cited 13 most cited articles published by authors affiliated with the Mayo Clinic Division of Nephrology and Hypertension. A citation was defined as being accurate if the cited article supported or was in accordance with the statement by citing authors. At least one inaccurate citation was found in 11 and 15% of articles in the feasibility study and verification set, respectively, suggesting that inaccurate citations are common in biomedical literature. The most common problem was the citation of nonexistent findings (38.4%), followed by an incorrect interpretation of findings (15.4%). One-fifth of inaccurate citations were due to chains of inaccurate citations. Based on these findings, several actions to reduce citation inaccuracies have been proposed.
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Yaniasih, Yaniasih, and Indra Budi. "Analysis of In text Citation Patterns in Local Journals for Ranking Scientific Documents." DESIDOC Journal of Library & Information Technology 41, no. 02 (March 12, 2021): 94–101. http://dx.doi.org/10.14429/djlit.41.02.16257.
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In-text citations have been put forward as a new way to overcome the bias inherent in bibliographic citation analysis. In-text citation patterns have been used as the basis for citation analysis previously, but all the evidence has come from international journals. However, many countries have more local journals than international journals. This paper uses in-text citation analysis to examine local journals in Indonesia. The paper aims to determine the location-based citation pattern in the text and its effect on the articles’ and authors’ rankings. We collected articles from seven food science journals and then parsed these articles to detect the citations and their locations within the text. Pre-processing included normalizing section names, developing a database, and matching citation identities. The rankings were based on sections and then evaluated using the Spearman rank correlation in the final step. The results revealed that Indonesian journals did not exhibit the same patterns as international journals. There were differences in the section locations of the highest percentages of citations, the distributions of publication years, and the ranking methods. The correlations between sections indicated that the citations in the results and discussion section should be give the highest weight, followed by those in the method section, while the lowest weight should be assigned to citations in the introduction. These results need to be strengthened with further research using more extensive data and fields. Other findings, such as nonstandard and inconsistent citations, made developing an automatic citation detection system for local journals challenging.
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Chaudhry, Zaira S., Brianna Fram, R. Frank Henn, Seth L. Sherman, and Sommer Hammoud. "The 50 Most-Cited Articles in Meniscal Allograft Transplantation Research: A Bibliometric Analysis." CARTILAGE 10, no. 2 (December 31, 2017): 196–204. http://dx.doi.org/10.1177/1947603517749922.
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Objective To identify the 50 most-cited articles in meniscal allograft transplantation (MAT) research and analyze their characteristics. Design In September 2017, the Scopus database was queried to identify the 50 most-cited articles in MAT research. Variables analyzed include number of citations, publication year, journal, institution, country of origin, article type, study design, and level of evidence. Citation density was calculated for each article. The correlation between citation density and publication year and the correlation between level of evidence and number of citations, citation density, and publication year were computed. Results The 50 most-cited articles were published in 12 journals between 1986 and 2011. The number of citations ranged from 59 to 290 (109.3 ± 48.6). Citation density ranged from 2.7 to 17.6 citations per year (7.0 ± 3.3). There was a positive correlation between citation density and publication year ( r = +0.489, P < 0.001). Overall, 56% of the articles were clinical and 44% were basic science. Of the 28 clinical articles, 61% were level IV or V evidence. Level of evidence was not significantly correlated with number of citations ( r = −0.059, P = 0.766), citation density ( r = +0.030, P = 0.880), or publication year ( r = −0.0009, P = 0.996). Conclusion This analysis provides the orthopedic community with a readily accessible list of the classic citations in MAT research and provides insight into the historical development of this procedure. Although there was a moderate positive correlation between citation density and publication year, articles with stronger levels of evidence were not more frequently cited despite the increasing trend toward evidence-based practice.
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Nisonger, Thomas E. "Use of the Journal Citation Reports for Serials Management in Research Libraries: An Investigation of the Effect of Self-Citation on Journal Rankings in Library and Information Science and Genetics." College & Research Libraries 61, no. 3 (May 1, 2000): 263–75. http://dx.doi.org/10.5860/crl.61.3.263.
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This article explores the use of the Institute for Scientific Information’s Journal Citation Reports (JCR) for journal management in academic libraries. The advantages and disadvantages to using JCR citation data for journal management are outlined, and a literature review summarizes reported uses of these data by libraries and scholars. This study researches the impact of journal self-citation on JCR rankings of library and information science (LIS) and genetics journals. The 1994 rankings by impact factor and total citations received were recalculated with journal self-citations removed; then the recalculated rankings were compared to the original rankings to analyze the effect of self-citations. It is concluded that librarians can use JCR data without correcting for journal self-citation, although self-citations do exert a major effect on the rankings for a small number of journals.
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Jurgens, David, Srijan Kumar, Raine Hoover, Dan McFarland, and Dan Jurafsky. "Measuring the Evolution of a Scientific Field through Citation Frames." Transactions of the Association for Computational Linguistics 6 (December 2018): 391–406. http://dx.doi.org/10.1162/tacl_a_00028.
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Citations have long been used to characterize the state of a scientific field and to identify influential works. However, writers use citations for different purposes, and this varied purpose influences uptake by future scholars. Unfortunately, our understanding of how scholars use and frame citations has been limited to small-scale manual citation analysis of individual papers. We perform the largest behavioral study of citations to date, analyzing how scientific works frame their contributions through different types of citations and how this framing affects the field as a whole. We introduce a new dataset of nearly 2,000 citations annotated for their function, and use it to develop a state-of-the-art classifier and label the papers of an entire field: Natural Language Processing. We then show how differences in framing affect scientific uptake and reveal the evolution of the publication venues and the field as a whole. We demonstrate that authors are sensitive to discourse structure and publication venue when citing, and that how a paper frames its work through citations is predictive of the citation count it will receive. Finally, we use changes in citation framing to show that the field of NLP is undergoing a significant increase in consensus.
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Ebrahim, Nader Ale, Hadi Salehi, Mohamed Amin Embi, Mahmoud Danaee, Marjan Mohammadjafari, Azam Zavvari, Masoud Shakiba, and Masoomeh Shahbazi-Moghadam. "Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers." Modern Applied Science 8, no. 5 (August 5, 2014): 63. http://dx.doi.org/10.5539/mas.v8n5p63.
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This study uses citation analysis from two citation tracking databases, Google Scholar (GS) and ISI Web of Science, in order to test the correlation between them and examine the effect of the number of paper versions on citations. The data were retrieved from the Essential Science Indicators and Google Scholar for 101 highly cited papers from Malaysia in the field of engineering. An equation for estimating the citation in ISI based on Google scholar is offered. The results show a significant and positive relationship between both citation in Google Scholar and ISI Web of Science with the number of versions. This relationship is higher between versions and ISI citations (r = 0.395, p<0.01) than between versions and Google Scholar citations (r = 0.315, p<0.01). Free access to data provided by Google Scholar and the correlation to get ISI citation which is costly, allow more transparency in tenure reviews, funding agency and other science policy, to count citations and analyze scholars’ performance more precisely.
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Shahid, Abdul, Muhammad Tanvir Afzal, Muhammad Qaiser Saleem, M. S. Elsayed Idrees, and Majzoob K. Omer. "Extension of Direct Citation Model Using In-Text Citations." Computers, Materials & Continua 66, no. 3 (2021): 3121–38. http://dx.doi.org/10.32604/cmc.2021.013809.
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Stevens, Jeffrey R., and Juan F. Duque. "Order matters: Alphabetizing in-text citations biases citation rates." Psychonomic Bulletin & Review 26, no. 3 (October 4, 2018): 1020–26. http://dx.doi.org/10.3758/s13423-018-1532-8.
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Marx, Werner, and Manuel Cardona. "The citation impact outside references — formal versus informal citations." Scientometrics 80, no. 1 (March 18, 2009): 1–21. http://dx.doi.org/10.1007/s11192-008-1824-2.
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Small, Henry, Kevin W. Boyack, and Richard Klavans. "Citations and certainty: a new interpretation of citation counts." Scientometrics 118, no. 3 (February 4, 2019): 1079–92. http://dx.doi.org/10.1007/s11192-019-03016-z.
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Bonhoure, Emilie, and Ransome Epie Bawack. "Measuring network-driven citations: An adjusted citation count metric." COLLNET Journal of Scientometrics and Information Management 17, no. 2 (2023): 247–68. http://dx.doi.org/10.47974/cjsim-2022-0010.
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Citation count is extensively used within research systems to measure research performance and relevance. However, high numbers of citations could result from many different factors. This paper proposes an adjusted citation count metric to help identify citations from researchers’ networks. Using data from the Web of Science core collection, this research suggests and illustrates an approach to compute the proportion of citation counts from within and out of author networks, defined as the set of their co-authors. The results reveal the trends and effects of author networks on citation counts. The paper explains how these findings could be used to assess research performance. Its utilisation will depend mainly on the objectives of the assessor and the stage of the researcher’s career. An algorithm is also proposed that could be used to automate the computation of the proposed metric. It could serve as a step towards refining and integrating this metric into existing bibliometric analysis packages built on the R software platform.
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Allahabadi, Sachin, Sonali E. Feeley, Drew A. Lansdown, Nirav K. Pandya, and Brian T. Feeley. "Influential Articles on Pediatric and Adolescent Anterior Cruciate Ligament Injuries: A Bibliometric Analysis." Orthopaedic Journal of Sports Medicine 9, no. 6 (June 1, 2021): 232596712110107. http://dx.doi.org/10.1177/23259671211010772.
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Background: The understanding of pediatric anterior cruciate ligament (ACL) injuries and optimal treatment has evolved significantly. Influential articles have been previously evaluated using article citations to determine impact. Purpose: To identify and characterize the 50 most cited and recent influential articles relating to pediatric and adolescent ACL injuries, to examine trends in publication characteristics, and to evaluate correlations of study citations with quality of evidence. Study Design: Cross-sectional study. Methods: The top 50 most cited articles on pediatric and adolescent ACL injuries were gathered using the Web of Science and Scopus online databases by averaging the number of citations from each database. Articles from recent years were also aggregated and sorted by citation density (citations/year). Publication and study characteristics were recorded. Level of evidence and methodologic quality were assessed where applicable using the modified Coleman Methodology Score (mCMS), modified Jadad scale, and Methodological Index for Non-Randomized Studies (MINORS). Spearman correlation was used to evaluate the association between citation data and level of evidence or methodologic quality scorings. Results: The top 50 cited papers had a mean of 117.5 ± 58.8 citations (range, 58.5-288.5 citations), with a mean citation density of 9.4 ± 5.4 citations per year (range, 2.9-25.8 citations/year); 80% were published in 2000 or later, and 6% were considered basic science. Articles were mainly level 4 evidence (27/42; 64.3%), and none was level 1. There were moderate, significant associations between publication year and level of evidence ( r S = −0.45; P = .0030) and citation density and publication year ( r S = 0.59; P < .001). Mean methodologic quality scores were as follows: mCMS, 53 ± 7.2 (range, 39-68); modified Jadad scale, 3.2 ± 1.1 (range, 2-6); and MINORS, 11.2 ± 3.2 (range, 6-20). There was a significant, strong correlation between rank of mean citations and modified Jadad scale ( r S = 0.76; P < .0001), suggesting poorer score associated with more mean citations. Conclusion: Influential articles on pediatric and adolescent ACL injuries were relatively recent, with a low proportion of basic science–type articles. Most of the studies had a lower evidence level and poor methodologic quality scores. Higher methodologic quality did not correlate positively with citation data.
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Fatima, Nishat. "Citation Analysis of Business Research: An International Journal in the Field of Business." DESIDOC Journal of Library & Information Technology 37, no. 4 (June 30, 2017): 281. http://dx.doi.org/10.14429/djlit.37.4.11126.
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<p>The present study is citation analysis of Business Research. It covers 18 issues of 9 volumes of Business Research published bi-annually during the period 2008-2016. The analysis covers the study of citation pattern and chronological growth citations. It also covers authorship pattern of the articles and various information sources of cited material. On the basis of citation analysis, a rank list of journals is prepared and core journals in the field of Business research are identified. Similarly, core areas of research are identified. The study reveals that researchers have cited journals (77.33%) more than books, editorial works and all other sources of information. Growth in collaborative trend of writing papers is also noticed as citations contributed by two authors is (37.67%) and single authors is (33.42%) followed by three authors (21.59%). Half-life of journal’s citations is found to be fourteen years. Bradford’s law doesn’t found fit in the study. Academy of Management Journal (157 citations), Strategic Management Journal (141 citations) and The Journal of Finance (136 citations) are the most cited journals. Supply chain management and advertising are the two main areas of research among researchers.</p>
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Hamermesh, Daniel S. "Citations In Economics: Measurement, Uses, and Impacts." Journal of Economic Literature 56, no. 1 (March 1, 2018): 115–56. http://dx.doi.org/10.1257/jel.20161326.
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I describe and compare sources of data on citations in economics and the statistics derived from them. Constructing data sets of the post-publication citation histories of articles published in the “top five” journals in the 1970s and 2000s, I examine distributions and life cycles of citations, compare citation histories of articles in different subspecialties in economics, and present evidence on the history and heterogeneity of those journals' impacts and the marginal citation productivity of additional coauthors. I use a new data set of the lifetime citation histories of over 1,000 economists from thirty universities to rank economics departments by various measures and demonstrate the importance of intra- and interdepartmental heterogeneity in productivity. Throughout, the discussion summarizes earlier work, including the impacts of citations on salaries and nonmonetary rewards, and how citations reflect judgments about research quality in economics and the importance of economic ideas. (JEL A14, I23)
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Aksnes, Dag W., Liv Langfeldt, and Paul Wouters. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories." SAGE Open 9, no. 1 (January 2019): 215824401982957. http://dx.doi.org/10.1177/2158244019829575.
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Citations are increasingly used as performance indicators in research policy and within the research system. Usually, citations are assumed to reflect the impact of the research or its quality. What is the justification for these assumptions and how do citations relate to research quality? These and similar issues have been addressed through several decades of scientometric research. This article provides an overview of some of the main issues at stake, including theories of citation and the interpretation and validity of citations as performance measures. Research quality is a multidimensional concept, where plausibility/soundness, originality, scientific value, and societal value commonly are perceived as key characteristics. The article investigates how citations may relate to these various research quality dimensions. It is argued that citations reflect aspects related to scientific impact and relevance, although with important limitations. On the contrary, there is no evidence that citations reflect other key dimensions of research quality. Hence, an increased use of citation indicators in research evaluation and funding may imply less attention to these other research quality dimensions, such as solidity/plausibility, originality, and societal value.
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Dorman, Nijsje. "Citations." BioTechniques 51, no. 4 (October 2011): 223. http://dx.doi.org/10.2144/0001137413.
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Dorman, Nijsje. "Citations." BioTechniques 52, no. 3 (March 2012): 127. http://dx.doi.org/10.2144/000113814.
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Dorman, Nijsje. "Citations." BioTechniques 52, no. 5 (May 2012): 295. http://dx.doi.org/10.2144/000113845.
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