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Journal articles on the topic 'Citation'

Author: Grafiati
Published: 4 June 2021
Last updated: 23 November 2024

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1

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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2

Mendis, Kumara, Chris van Weel, Christopher Del Mar, and Roger Jones. "Citation, citation, citation." British Journal of General Practice 60, no. 577 (August 1, 2010): 561–62. http://dx.doi.org/10.3399/bjgp10x515241.

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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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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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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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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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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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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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10

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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11

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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12

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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Gregory, Chase. "(Ex)Citation: Citational Eros in Academic Texts." Diacritics 48, no. 3 (2020): 60–74. http://dx.doi.org/10.1353/dia.2020.0019.

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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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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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Teixeira da Silva, Jaime A., Chun-Kai (Karl) Huang, and José Luis Ortega. "Open Citations as a Tool for Bibliometric Verification and Transparency and for Correcting Erroneous References." Journal of Scholarly Publishing 54, no. 1 (January 1, 2023): 60–79. http://dx.doi.org/10.3138/jsp-2022-0016.

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Citations in a scientific paper reference other studies and form the information backbone of that paper. If cited literature is valid and non-retracted, an analysis of citations can offer unique perspectives about the supportive or contradictory nature of a statement. Yet, such analyses are still limited by the relative lack of access to open citation data. The creation of open citation databases (OCDs) allows for data analysts, bibliometric specialists, and other academics interested in such topics to independently verify the validity and accuracy of a citation. Since the strength of an individual’s curriculum vitae can be based on, and assessed by, metrics (citation counts, altmetric mentions, journal ranks, etc.), there is interest in appreciating citation networks and their link to research performance. Open citations would thus not only benefit career, funding, and employment initiatives, but they could also be used to reveal citation rings, abusive author–author or journal–journal citation strategies, or to detect false or erroneous citations. OCDs should be open to the public, and publishers have a moral responsibility of releasing citation data for free use and academic exploration. Some challenges remain, including long-term funding, and data and information security.
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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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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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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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Franceschet, Massimo, and Giovanni Colavizza. "Quantifying the higher-order influence of scientific publications." Scientometrics 125, no. 2 (July 13, 2020): 951–63. http://dx.doi.org/10.1007/s11192-020-03580-9.

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AbstractCitation impact is commonly assessed using direct, first-order citation relations. We consider here instead the indirect influence of publications on new publications via citations. We present a novel method to quantify the higher-order citation influence of publications, considering both direct, or first-order, and indirect, or higher-order citations. In particular, we are interested in higher-order citation influence at the level of disciplines. We apply this method to the whole Web of Science data at the level of disciplines. We find that a significant amount of influence—42%—stems from higher-order citations. Furthermore, we show that higher-order citation influence is helpful to quantify and visualize citation flows among disciplines, and to assess their degree of interdisciplinarity.
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Liang, Yicong, and Lap-Kei Lee. "A Systematic Review of Citation Recommendation Over the Past Two Decades." International Journal on Semantic Web and Information Systems 19, no. 1 (June 1, 2023): 1–22. http://dx.doi.org/10.4018/ijswis.324071.

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A citation is a reference to the source of information used in an article. Citations are very useful for students and researchers to locate relevant information on a topic. Proper citation is also important in the academic ethics of article writing. Due to the rapid growth of scientific works published each year, how to automatically recommend citations to students and researchers has become an interesting but challenging research problem. In particular, a citation recommendation system can assist students to identify relevant papers and literature for academic writing. Citation recommendation can be classified into local and global citation recommendation depending on whether a specific local citation context is given; e.g., the text surrounding a citation placeholder. This article provides a systematic review on global citation recommendation models and compares the reviewed methods from the traditional topic- based models to the recent models embedded with deep neural networks, aiming to summarize this field to facilitate researchers working on citation recommendation.
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Qayyum, Faiza, Harun Jamil, Faisal Jamil, and Do-Hyeun Kim. "Towards Potential Content-Based Features Evaluation to Tackle Meaningful Citations." Symmetry 13, no. 10 (October 19, 2021): 1973. http://dx.doi.org/10.3390/sym13101973.

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The scientific community has presented various citation classification models to refute the concept of pure quantitative citation analysis systems wherein all citations are treated equally. However, a small number of benchmark datasets exist, which makes the asymmetric citation data-driven modeling quite complex. These models classify citations for varying reasons, mostly harnessing metadata and content-based features derived from research papers. Presently, researchers are more inclined toward binary citation classification with the belief that exploiting the datasets of incomplete nature in the best possible way is adequate to address the issue. We argue that contemporary ML citation classification models overlook essential aspects while selecting the appropriate features that hinder elutriating the asymmetric citation data. This study presents a novel binary citation classification model exploiting a list of potential natural language processing (NLP) based features. Machine learning classifiers, including SVM, KLR, and RF, are harnessed to classify citations into important and non-important classes. The evaluation is performed using two benchmark data sets containing a corpus of around 953 paper-citation pairs annotated by the citing authors and domain experts. The study outcomes exhibit that the proposed model outperformed the contemporary approaches by attaining a precision of 0.88.
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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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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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Howard, Ryan, and Michael Englesbe. "Citation Accuracy vs Citation Integrity." JAMA Surgery 157, no. 4 (April 1, 2022): 361. http://dx.doi.org/10.1001/jamasurg.2021.6552.

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Jost, Wolfgang. "„La citation pour la citation“." DNP - Der Neurologe und Psychiater 17, no. 6 (June 2016): 3–4. http://dx.doi.org/10.1007/s15202-016-1302-2.

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Wang, Guihua, and Guangwei Hu. "Citations and the Nature of Cited Sources: A Cross-Disciplinary and Cross-Linguistic Study." SAGE Open 12, no. 2 (April 2022): 215824402210933. http://dx.doi.org/10.1177/21582440221093350.

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Extant scholarship on citation has examined a limited number of citational features, adopted disciplinary and ethnolinguistic perspectives disjunctively, and paid little systematic attention to the nature of cited sources. Drawing on appraisal theory, the present study investigated the nature of cited sources, namely personalization (i.e., whether humans are foregrounded as a cited source) and identification (i.e., whether and how the cited sources are identified), to understand their dialogic functionality in knowledge making. We analyzed citations in a corpus of 84 research articles sampled from two disciplines and two languages. Greater citation-based dialogic contraction was found in the medical articles than in the applied linguistic articles, whereas the cross-linguistic contrasts revealed a mixed picture. The differences are explained in terms of divergent epistemologies, cultural beliefs, discursive practices, institutional settings, and co-patterning of different citation features.
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Wang, Guihua, and Guangwei Hu. "Citations and the Nature of Cited Sources: A Cross-Disciplinary and Cross-Linguistic Study." SAGE Open 12, no. 2 (April 2022): 215824402210933. http://dx.doi.org/10.1177/21582440221093350.

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Extant scholarship on citation has examined a limited number of citational features, adopted disciplinary and ethnolinguistic perspectives disjunctively, and paid little systematic attention to the nature of cited sources. Drawing on appraisal theory, the present study investigated the nature of cited sources, namely personalization (i.e., whether humans are foregrounded as a cited source) and identification (i.e., whether and how the cited sources are identified), to understand their dialogic functionality in knowledge making. We analyzed citations in a corpus of 84 research articles sampled from two disciplines and two languages. Greater citation-based dialogic contraction was found in the medical articles than in the applied linguistic articles, whereas the cross-linguistic contrasts revealed a mixed picture. The differences are explained in terms of divergent epistemologies, cultural beliefs, discursive practices, institutional settings, and co-patterning of different citation features.
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Jamalnia, Sheida, and Nasrin Shokrpour. "Relationship Between the Journal Self-Citation and Author Self-Citation and the Impact Factor in Iranian, American ,and European ISI Indexed Medical Journals in 2014-2021." Galen Medical Journal 10 (July 24, 2021): 2156. http://dx.doi.org/10.31661/gmj.v10i0.2156.

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Background: Author and journal self-citation contributes to the overall citation count of an article and the impact factor of the journal in which it appears. Little is known, however, about the extent of self-citation in the general clinical medicine literature. The objective of this study was to determine the effect of self-citation (Journal and Author) on the impact factor of Iranian, American, and European English medical journals. Methods: IF (Impact Factor), IF without self-citations (corrected IF), journal self-citation rate, and author self-citation rate for medical journals were investigated from 2014–2021, by reviewing the Journal Citation Report. Twenty Iranian English medical journals in WoS indexed were selected and compared with twenty American and twenty European English medical journals. The correlation between the journal self-citation and author self-citation with IF was obtained. We used Spearman’s correlation coefficient for correlation of self-citation and IF. A P. value of0.05 was considered as significant in all the tests. Results: The overall journal citations were higher in the American and European journals compared to the Iranian ones between 2014 and 2021. There was a significant relationship between journal self-citation rates and impact factor (P
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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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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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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 another’s 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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Aljohani, Naif Radi, Ayman Fayoumi, and Saeed-Ul Hassan. "A Novel Deep Neural Network-Based Approach to Measure Scholarly Research Dissemination Using Citations Network." Applied Sciences 11, no. 22 (November 19, 2021): 10970. http://dx.doi.org/10.3390/app112210970.

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We investigated the scientific research dissemination by analyzing the publications and citation data, implying that not all citations are significantly important. Therefore, as alluded to existing state-of-the-art models that employ feature-based techniques to measure the scholarly research dissemination between multiple entities, our model implements the convolutional neural network (CNN) with fastText-based pre-trained embedding vectors, utilizes only the citation context as its input to distinguish between important and non-important citations. Moreover, we speculate using focal-loss and class weight methods to address the inherited class imbalance problems in citation classification datasets. Using a dataset of 10 K annotated citation contexts, we achieved an accuracy of 90.7% along with a 90.6% f1-score, in the case of binary classification. Finally, we present a case study to measure the comprehensiveness of our deployed model on a dataset of 3100 K citations taken from the ACL Anthology Reference Corpus. We employed state-of-the-art graph visualization open-source tool Gephi to analyze the various aspects of citation network graphs, for each respective citation behavior.
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Umer, Muhammad, Turki Aljrees, Saleem Ullah, and Ali Kashif Bashir. "Novel approach for quantitative and qualitative authors research profiling using feature fusion and tree-based learning approach." PeerJ Computer Science 9 (December 19, 2023): e1752. http://dx.doi.org/10.7717/peerj-cs.1752.

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Article citation creates a link between the cited and citing articles and is used as a basis for several parameters like author and journal impact factor, H-index, i10 index, etc., for scientific achievements. Citations also include self-citation which refers to article citation by the author himself. Self-citation is important to evaluate an author’s research profile and has gained popularity recently. Although different criteria are found in the literature regarding appropriate self-citation, self-citation does have a huge impact on a researcher’s scientific profile. This study carries out two cases in this regard. In case 1, the qualitative aspect of the author’s profile is analyzed using hand-crafted feature engineering techniques. The sentiments conveyed through citations are integral in assessing research quality, as they can signify appreciation, critique, or serve as a foundation for further research. Analyzing sentiments within in-text citations remains a formidable challenge, even with the utilization of automated sentiment annotations. For this purpose, this study employs machine learning models using term frequency (TF) and term frequency-inverse document frequency (TF-IDF). Random forest using TF with Synthetic Minority Oversampling Technique (SMOTE) achieved a 0.9727 score of accuracy. Case 2 deals with quantitative analysis and investigates direct and indirect self-citation. In this study, the top 2% of researchers in 2020 is considered as a baseline. For this purpose, the data of the top 25 Pakistani researchers are manually retrieved from this dataset, in addition to the citation information from the Web of Science (WoS). The self-citation is estimated using the proposed model and results are compared with those obtained from WoS. Experimental results show a substantial difference between the two, as the ratio of self-citation from the proposed approach is higher than WoS. It is observed that the citations from the WoS for authors are overstated. For a comprehensive evaluation of the researcher's profile, both direct and indirect self-citation must be included.
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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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Dechow, Patricia M., Richard G. Sloan, and Jean (Jieyin) Zeng. "Is It a Home Run? Measuring Relative Citation Rates in Accounting Research." Accounting Horizons 34, no. 1 (September 1, 2019): 67–91. http://dx.doi.org/10.2308/acch-52570.

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SYNOPSIS We propose a new set of citation metrics for evaluating the relative impact of scholarly research in accounting. Our metrics are based on current practices in bibliometrics and normalize citations by both field (accounting) and year of publication. We show that our normalized citation metrics dominate other commonly used metrics in accounting when predicting the long-term citation impact of recently published research. We conduct our analysis using citations from the Social Science Citation Index for the top six general interest accounting journals. More generally, our metrics can be readily constructed using any citation database and for any subfield of accounting. The metrics simply require the total citation counts for a benchmark set of papers published in the same calendar year. The use of these metrics should enable more informed performance evaluations of junior accounting researchers.
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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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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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Urlings, Miriam J. E., Bram Duyx, Gerard M. H. Swaen, Lex M. Bouter, and Maurice P. A. Zeegers. "Determinants of Citation in Epidemiological Studies on Phthalates: A Citation Analysis." Science and Engineering Ethics 26, no. 6 (August 13, 2020): 3053–67. http://dx.doi.org/10.1007/s11948-020-00260-y.

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AbstractCiting of previous publications is an important factor in knowledge development. Because of the great amount of publications available, only a selection of studies gets cited, for varying reasons. If the selection of citations is associated with study outcome this is called citation bias. We will study determinants of citation in a broader sense, including e.g. study design, journal impact factor or the funding source of the publication. As a case study we assess which factors drive citation in the human literature on phthalates, specifically the metabolite mono(2-ethylhexyl) phthalate (MEHP). A systematic literature search identified all relevant publications on human health effect of MEHP. Data on potential determinants of citation were extracted in duplo. Specialized software was used to create a citation network, including all potential citation pathways. Random effect logistic regression was used to assess whether these determinants influence the likelihood of citation. 112 Publications on MEHP were identified, with 5684 potential citation pathways of which 551 were actual citations. Reporting of a harmful point estimate, journal impact factor, authority of the author, a male corresponding author, research performed in North America and self-citation were positively associated with the likelihood of being cited. In the literature on MEHP, citation is mostly driven by a number of factors that are not related to study outcome. Although the identified determinants do not necessarily give strong indications of bias, it shows selective use of published literature for a variety of reasons.
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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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Jackson, David D. "Citation." Bulletin of the Seismological Society of America 81, no. 1 (February 1, 1991): 292–94. http://dx.doi.org/10.1785/bssa0810010292.

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Filson, John R., Thomas C. Hanks, and Clarence R. Allen. "Citation." Bulletin of the Seismological Society of America 79, no. 6 (December 1, 1989): 2000–2002. http://dx.doi.org/10.1785/bssa0790062000.

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Wallace, Robert E., Henry J. Lagorio, Frank E. McClure, and Lloyd S. Cluff. "Citation." Bulletin of the Seismological Society of America 84, no. 6 (December 1, 1994): 2012–13. http://dx.doi.org/10.1785/bssa0840062012.

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Mortley, Raoul, and Ric Charlton. "Citation." Australian Surveyor 41, no. 3 (September 1996): 228–29. http://dx.doi.org/10.1080/00050326.1996.10441755.

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Butler, R. E., and C. N. R. Rao. "Citation." IETE Technical Review 5, no. 5 (May 1988): 190–91. http://dx.doi.org/10.1080/02564602.1988.11438288.

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