Academic literature on the topic 'Citations count'

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Journal articles on the topic "Citations count"

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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.
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Samuels, David. "Book Citations Count." PS: Political Science & Politics 46, no. 04 (2013): 785–90. http://dx.doi.org/10.1017/s1049096513001054.

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AbstractThis article quantifies books' impact in terms of citation counts—in published articles and in other published books. The average political science book published by a university press receives about three times the number of citations received by an article indexed in the SSCI. Books' impact varies by subfield, with books published in methodology receiving many more citations on average than books published in other subfields, followed by books in international relations. Overall, books published on American politics are cited least frequently. Results suggest that political scientist
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Dorta-González, Pablo, and Emilio Gómez-Déniz. "A Two-Stage Model for Factors Influencing Citation Counts." Publications 13, no. 2 (2025): 29. https://doi.org/10.3390/publications13020029.

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This work aims to use a suitable regression model to study a count response random variable, namely, the number of citations of a research paper, that is affected by some explanatory variables. The count variable exhibits substantial variation, as the sample variance is larger than the sample mean; thus, the classical Poisson regression model seems not to be appropriate. We concentrate our attention on the negative binomial regression model, which allows the variance of each measurement to be a function of its predicted value. Nevertheless, the process of citations of papers may be divided int
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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 (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 depart
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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 characteris
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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 (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 pu
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Adedayo, Adeleke Victor. "Citations in introduction and literature review sections should not count for quality." Performance Measurement and Metrics 16, no. 3 (2015): 303–6. http://dx.doi.org/10.1108/pmm-01-2015-0001.

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Purpose – The purpose of this paper is to suggest that citations made in the introduction and literature review sections of academic writings should not count in the analysis of citations to measure the quality of research papers. Design/methodology/approach – Elucidatory expositions are made on the purposes of the introduction and literature review sections. Findings – The nature of citations to knowledge to establish these purposes is identified and used to suggest that citations made in these sections should not count in citation analysis that are used to determine quality of publications.
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Shanahan, Daniel R. "Auto-correlation of journal impact factor for consensus research reporting statements: a cohort study." PeerJ 4 (March 31, 2016): e1887. http://dx.doi.org/10.7717/peerj.1887.

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Background.The Journal Citation Reports journal impact factors (JIFs) are widely used to rank and evaluate journals, standing as a proxy for the relative importance of a journal within its field. However, numerous criticisms have been made of use of a JIF to evaluate importance. This problem is exacerbated when the use of JIFs is extended to evaluate not only the journals, but the papers therein. The purpose of this study was therefore to investigate the relationship between the number of citations and journal IF for identical articles published simultaneously in multiple journals.Methods.Elig
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Sudarsono, Heri, Kinanthi Putri Ardiami, and Mohammad Bekti Hendrie Anto. "A Comparative Analysis of Citation Counts in Sinta, Dimensions, and Scopus: A Study of Journals in Islamic Economics, Finance, and Business." Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan 12, no. 2 (2024): 378–91. https://doi.org/10.24252/kah.v12i2a13.

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This study compared the citation counts of journals in economics, finance, and Islamic business (JEFIB) indexed in three prominent databases: Sinta, Dimensions, and Scopus. JEFIB is indexed in Sinta, with citation data also available from the Dimensions and Scopus databases. A total of five journals were selected from each Sinta category, with the highest citation count from each database—Sinta, Dimensions, and Scopus—being recorded. The citation data were then tabulated for each journal group based on the highest counts from these three databases. The findings reveal that citation counts in S
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Louscher, Blake M., Veerasathpurush Allareddy, and Satheesh Elangovan. "Predictors of Citations of Systematic Reviews in Oral Implantology: A Cross-Sectional Bibliometric Analysis." SAGE Open 9, no. 1 (2019): 215824401983594. http://dx.doi.org/10.1177/2158244019835941.

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Citation count is an important measure of academic productivity and evidence dissemination. This cross-sectional bibliometric assessment is aimed at identifying predictors of citations of systematic reviews (SRs) published in 2010 in the field of oral implantology. SRs published in the field of oral implantology in the year 2010 in three electronic databases were identified. Following which, data were extracted from selected SRs including number of authors, number of institutions, international collaboration status, number of references, and journal impact factor (JIF). Methodological quality
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Dissertations / Theses on the topic "Citations count"

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Hamilton, Corey A. "The Determinants of Traffic Citation Revenues on Florida's Clerks of Court and Comptrollers." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3164.

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In the wake of budgetary restraints, many local government organizations are examining existing sources of revenue to exhaust available streams without increasing constituents' financial burden. Some of these revenue streams include nontraditional sources, such as traffic citations, yet little research has explored the implications of revenue generated from fines from traffic citations. Using the theory of resource dependence as the foundation, the purpose of this study was to explore the relationship between the estimated population of the county, the unemployment rate of the county, and the
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Linka, Milan. "Vliv institucionálního kapitálu vědeckých institucí na jejich patentovou aktivitu - příklad České republiky." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-74137.

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The thesis examines impact of the institutional capital, which captures the ability to produce quality patents, on the number of applied patent applications after the adoption of new governmental system of research and development evaluation. For determination of the institutional capital I use similar approach as Turnovec (2005) in case of publications. The estimation of the institutional capital is based on the evaluation of patents received by publicly financed research institutions. The evaluation of patents is based on the analysis of patent family and patent citation data. The data are a
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Arunachalam, Subbiah. "Use of SCI-based Publication Counts - Correspondence." 2003. http://hdl.handle.net/10150/105369.

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This is a correspondence on an article by Karandikar and Sunder and an article by Pichappan (both published in Current Science 2003, issue 85) that present some misgivings about the use of Science Citation Index-based publication counts. Arunachalam discusses why the stance taken, the total number of papers published from a country should not be used as a science indicator, is extreme.
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ShengWang, Ching, and 王京盛. "A Research Trend Analyzing Method Based on Semantics and Citation Count." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/66979604589945403862.

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碩士<br>國立成功大學<br>資訊管理研究所<br>100<br>With the digitization of knowledge, all kinds of documents are gradually transformed into electronic form in order to transfer easily. However, due to the rapid increase of the amount of data, researchers cannot extract important information even though they can collect research data easily. Then, most of the electronic databases provide search engine which make keywords as a filtering tool as a solution, but the results still cannot fulfill the needs of researchers. In order to find research materials moreefficiently, researchers use topic detection and track
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Huei-Jie, Hu. "Development of Essential Patent Indicator Based on Modified Citation Counts." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2707200612344700.

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Hu, Huei-Jie, and 胡惠傑. "Development of Essential Patent Indicator Based on Modified Citation Counts." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/49313484486840743559.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>94<br>A systematic methodology to analyze the quality of patents is developed and presented in this thesis. We focus on patents which belong to a particular technology and develop an indicator of patent quality by using patent citation data. Traditional simple patent citation counts are not informative enough to be used for patent quality classification. We analyze patent citations and establish an essential patent indicator by considering several critical factors. The first is time factor, the second is assignee factor, the third is self and other citation factor,
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Bornmann, Lutz, Werner Marx, Hermann Schier, Erhard Rahm, Andreas Thor, and Hans-Dieter Daniel. "Convergent validity of bibliometric Google Scholar data in the field of chemistry: Citation counts for papers that were accepted by Angewandte Chemie International Edition or rejected but published elsewhere, using Google Scholar, Science Citation Index, Scopus, and Chemical Abstracts." 2009. https://ul.qucosa.de/id/qucosa%3A32360.

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Examining a comprehensive set of papers (n = 1837) that were accepted for publication by the journal Angewandte Chemie International Edition (one of the prime chemistry journals in the world) or rejected by the journal but then published elsewhere, this study tested the extent to which the use of the freely available database Google Scholar (GS) can be expected to yield valid citation counts in the field of chemistry. Analyses of citations for the set of papers returned by three fee-based databases – Science Citation Index, Scopus, and Chemical Abstracts – were compared to the analysis of cita
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Lin, Shih-Kai, and 林詩凱. "Applying Citation Analysis to Investigate Evolutionary Opinion of Court Decision – Patent Misuse as an Example." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/rsgdk6.

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碩士<br>國立臺灣科技大學<br>科技管理所<br>104<br>This study examined the applicableness of empirical legal study with using citation analysis. Empirical Legal Study is a systematic way to explore the practical operation of the court. Compared with traditional legal studies, empirical legal study provides the researchers with a more practical and wide perspective result. Therefore, more and more researchers in legal field are going to take account of using the research method of Empirical Legal Study for legal research. Especially, citation analysis method is one of empirical legal study method. Citation anal
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Meho, Lokman I., and Kiduk Yang. "Impact of Data Sources on Citation Counts and Rankings of LIS Faculty: Web of Science vs. Scopus and Google Scholar." 2007. http://hdl.handle.net/10150/105208.

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The Institute for Scientific Information's (ISI) citation databases have been used for decades as a starting point and often as the only tools for locating citations and/or conducting citation analyses. ISI databases (or Web of Science [WoS]), however, may no longer be sufficient because new databases and tools that allow citation searching are now available. Using citations to the work of 25 library and information science faculty members as a case study, this paper examines the effects of using Scopus and Google Scholar (GS) on the citation counts and rankings of scholars as measured by WoS.
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Books on the topic "Citations count"

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Castigador, Lerio Caballero. Citations, excerpts of Supreme Court decisions. Rex Book Store, 1991.

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Shepard's/McGraw-Hill, ed. Shepard's United States citations : statutes-- court rules. 7th ed. Shepard's/McGraw-Hill, 1986.

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Fishman, Joel. Pennsylvania county reports and district & county reports: Parallel citation tables. Allegheny County Law Library, 1985.

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Laxman, Shinde, ed. High Court citator, 1949-2008. LexisNexis Butterworths Wadhwa Nagpur, 2009.

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Malik, Surendra. Supreme Court index of cases, 1950-2011: With cross-citations. Eastern Book Company, 2012.

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Court, India Supreme. Supreme Court on words & phrases, 1950-2008. 2nd ed. Ashoka Law House, 2008.

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Nielsen, Jan C. Bankruptcy law in the Ninth Circuit: Issues, citations to authorities, annotations. NJS Press, 1997.

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Walo, Miriam. Supplement to Papua New Guinea judgment citator: National Court and Supreme Court judgments, June 1989-October 1994, and Papua New Guinea law reports, volumes 1987 to 1993. M. Somare Library, University of Papua New Guinea, 1994.

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Court, India Supreme. Supreme Court case citator, 2001-2006. LexisNexis Butterworths, 2007.

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Services, International Law Book, ed. Malaysian cases citator: With cross references to statutory provisions and subsequent appellate court decisions. International Law Book Services, 1999.

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Book chapters on the topic "Citations count"

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Beyer, Dirk, and Andreas Podelski. "Software Model Checking: 20 Years and Beyond." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22337-2_27.

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AbstractWe give an overview of the development of software model checking, a general approach to algorithmic program verification that integrates static analysis, model checking, and deduction. We start with a look backwards and briefly cover some of the important steps in the past decades. The general approach has become a research topic on its own, with a wide range of tools that are based on the approach. Therefore, we discuss the maturity of the research area of software model checking in terms of looking at competitions, at citations, and most importantly, at the tools that were build in
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Fischer, Klaus. "Simple Ranking by Citation Counts." In Changing Landscapes of Nuclear Physics. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78089-9_7.

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Li, Cheng-Te, Yu-Jen Lin, Rui Yan, and Mi-Yen Yeh. "Trend-Based Citation Count Prediction for Research Articles." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18038-0_51.

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Baba, Takahiro, and Kensuke Baba. "Citation Count Prediction Using Non-technical Terms in Abstracts." In Computational Science and Its Applications – ICCSA 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95162-1_25.

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Park, Ho-Min, Yenewondim Biadgie Sinshaw, and Kyung-Ah Sohn. "Temporal Citation Network-Based Feature Extraction for Cited Count Prediction." In Mobile and Wireless Technologies 2017. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5281-1_41.

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Nakatoh, Tetsuya, and Sachio Hirokawa. "Evaluation Index to Find Relevant Papers: Improvement of Focused Citation Count." In Human Interface and the Management of Information. Visual Information and Knowledge Management. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22660-2_41.

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Ishita, Emi, Yosuke Miyata, and Keiko Kurata. "Advantages of Data Reuse Based on Disciplinary Diversity and Citation Count." In Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8088-8_14.

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Skolnik, Terry, and Keenan MacNeal. "Bilingualism at the Supreme Court of Canada: Quantifying Citations to English, French, and Bilingual Doctrinal Sources." In Decoding the Court: Legal Data Insights from the Supreme Court of Canada. Routledge, 2024. http://dx.doi.org/10.4324/9781003279112-8.

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Alschner, Wolfgang, and Isabelle St-Hilaire. "Using Network Citation Analysis to Reveal Precedential Archetypes at the Supreme Court of Canada." In Decoding the Court: Legal Data Insights from the Supreme Court of Canada. Routledge, 2024. http://dx.doi.org/10.4324/9781003279112-5.

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Pobiedina, Nataliia, and Ryutaro Ichise. "Predicting Citation Counts for Academic Literature Using Graph Pattern Mining." In Modern Advances in Applied Intelligence. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07467-2_12.

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Conference papers on the topic "Citations count"

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Basuki, Setio, Zamah Sari, Rizky Indrabayu, Reza Fauzan, Aulia Arif Wardhana, and Masatoshi Tsuchiya. "Predicting Citation Counts with Machine Learning: A Citation Function Approach." In 2024 11th International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA). IEEE, 2024. http://dx.doi.org/10.1109/icaicta63815.2024.10763344.

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Li, Lu, Gengshen Wu, and Zuobin Ying. "A Citation Count Prediction Model Based on Bi-LSTM and Transformer." In 2024 2nd International Conference on Big Data and Privacy Computing (BDPC). IEEE, 2024. http://dx.doi.org/10.1109/bdpc59998.2024.10649270.

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Qin, Hongwu, Yijin Zheng, Xiuqin Ma, and Kexin Tang. "Citation Counts Prediction of Publications Based on Gated Graph Convolutional Neural Network Model with Multi-Feature Fusion." In 2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP). IEEE, 2024. https://doi.org/10.1109/mlnlp63328.2024.10800652.

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Nivash, J. P., and L. D. Dhinesh Babu. "Impact of self-citations and references involved increasing the citation count." In 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2017. http://dx.doi.org/10.1109/icaccs.2017.8014699.

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Sun, Mingyue, Mingliang Yue, Wen Peng, and Tingcan Ma. "Analysis of Relationships Between Paper Citations and Their Category Influencing Factors: A Bayesian Network with Latent Variables Approach." In 20th International Conference on Scientometrics & Informetrics. Institute for Informatics and Automation Problems of NAS RA, 2025. https://doi.org/10.51408/issi2025_070.

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The analysis of the impact of academic papers has long been a topic of interest among scholars. Many studies have been carried out to explore the interaction between paper citations and its influencing factors from a microscopic perspective, e.g., analyzing the correlation between individual or multiple observable variables (such as author h index and publication counts) and citation count. However, it remains challenging to conduct analysis from a relatively macroscopic perspective, such as understanding how author characteristics as a whole influence citation count. In this paper, we adopt a
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Sharma, Kiran, та Ziya Uddin. "Measuring the Continuous Research Impact of a Researcher: The 𝐾𝑧 Index". У 20th International Conference on Scientometrics & Informetrics. Institute for Informatics and Automation Problems of NAS RA, 2025. https://doi.org/10.51408/issi2025_037.

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The ongoing discussion regarding the utilization of individual research performance for academic hiring, funding allocation, and resource distribution has prompted the need for improved metrics. While traditional measures such as total publications, citations count, and the h-index, etc. provide a general overview of research impact, they fall short of capturing the continuous contribution of researchers over time. To address this limitation, we propose the implementation of the 𝐾𝑧 index, which takes into account both publication impact and age. In this study, we calculated 𝐾𝑧 scores for 376 r
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Momeni, Fakhri, Janete Saldanha Bach, Brigitte Mathiak, and Peter Mutschke. "Linking Data Citation to Repository Visibility: An Empirical Study." In 20th International Conference on Scientometrics & Informetrics. Institute for Informatics and Automation Problems of NAS RA, 2025. https://doi.org/10.51408/issi2025_060.

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In today's data-driven research landscape, dataset visibility and accessibility play a crucial role in advancing scientific knowledge. At the same time, data citation is essential for maintaining academic integrity, acknowledging contributions, validating research outcomes, and fostering scientific reproducibility. As a critical link, it connects scholarly publications with the datasets that drive scientific progress. This study investigates whether repository visibility influences data citation rates. We hypothesize that repositories with higher visibility, as measured by search engine metric
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Donner, Paul, Stephan Stahlschmidt, Robin Haunschild, and Lutz Bornmann. "Are Citation Context Information Stronger Related to Peer Ratings Than Citation Counts? A Descriptive Analysis." In 20th International Conference on Scientometrics & Informetrics. Institute for Informatics and Automation Problems of NAS RA, 2025. https://doi.org/10.51408/issi2025_049.

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In this study, we investigated whether citation context information is able to increase the validity of citation impact analyses to measure research quality compared to simple citation counts. We analyzed the statistical relationships of information extracted from structured citation context data in the Web of Science (Clarivate) such as the placement of citations within specific sections of an article with post-publication peer review quality ratings from Faculty Opinions (H1 connect), used as an external validity criterion for research quality. The study is based on publications in medicine
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Yan, Rui, Jie Tang, Xiaobing Liu, Dongdong Shan, and Xiaoming Li. "Citation count prediction." In the 20th ACM international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2063576.2063757.

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Sharma, Kiran, and Parul Khurana. "Self Citations in Academic Excellence: Analysis of the Top 1% Highly Cited India-Affiliated Research Papers." In 20th International Conference on Scientometrics & Informetrics. Institute for Informatics and Automation Problems of NAS RA, 2025. https://doi.org/10.51408/issi2025_033.

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Citations demonstrate the credibility, impact, and connection of a paper with the academic community. Self citations support research continuity, but, if excessive, may inflate metrics and raise bias concerns. The aim of the study is to examine the role of self citationstowards the research impact of India. To study this, 3.58 million papers affiliated with India from 1947 to 2024 in the Scopus database were downloaded, and 2.96 million were filtered according to document type and publication year up to 2023. Further filtering based on high citation counts identified the top 1% of highly cited
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Reports on the topic "Citations count"

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Bitton, Ayelet. Clicks versus Citations: Click Count as a Metric in High Energy Physics Publishing. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1017227.

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Owen, P. T., D. C. Michelson, and N. P. Knox. Bibliographic citations pertinent to the Weldon Spring Site, St. Charles County, Missouri. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5453891.

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De Groote, Sandra L., Jung Mi Scoulas, Paula R. Dempsey, Deborah D. Blecic, and Felicia A. Barrett. Library Impact Research Report: Faculty Publication Patterns at a Large Urban University and Correlation with Collections Use and Size. Association of Research Libraries, 2022. http://dx.doi.org/10.29242/report.uillinoischicago2022.

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As part of ARL’s Research Library Impact Framework initiative, the University of Illinois Chicago (UIC) conducted a study to demonstrate how the availability and use of library collections impacts faculty productivity and publication patterns over time. To address these questions, the project used various statistics: collection size (measured by journal holdings), collection use (measured by number of references in the publications), number of publications by faculty, publication impact (measured by number of citations), number of co-authors, grant funding, page counts, and faculty demographic
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