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Journal articles on the topic 'Citation’s network'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Chakraborty, Manajit, Maksym Byshkin, and Fabio Crestani. "Patent citation network analysis: A perspective from descriptive statistics and ERGMs." PLOS ONE 15, no. 12 (2020): e0241797. http://dx.doi.org/10.1371/journal.pone.0241797.

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Patent Citation Analysis has been gaining considerable traction over the past few decades. In this paper, we collect extensive information on patents and citations and provide a perspective of citation network analysis of patents from a statistical viewpoint. We identify and analyze the most cited patents, the most innovative and the highly cited companies along with the structural properties of the network by providing in-depth descriptive analysis. Furthermore, we employ Exponential Random Graph Models (ERGMs) to analyze the citation networks. ERGMs enables understanding the social perspecti

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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 (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 tufe

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Bu, Yi, Yong Huang, and Wei Lu. "Loops in publication citation networks." Journal of Information Science 46, no. 6 (2019): 837–48. http://dx.doi.org/10.1177/0165551519871826.

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Traditionally, publication citation networks are regarded as acyclic, that is, no loops in the network as an earlier published article cannot cite a later published article. However, due to the accessibility of pre-print versions of articles, there might be some loops in a publication citation network. This article presents a descriptive statistic on loops in publication citation networks of computer science and physics by employing a network-based indicator, namely, strongly connected component (SCC). By employing computer science and physics disciplines publications from the Web of Science d

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Du, San Shan, and Yue Chun Wu. "Research Paper Influence Measurement and Applications: A Machine-Learning-Based Approach." Advanced Materials Research 1049-1050 (October 2014): 2073–78. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.2073.

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Measuring the influence of academic research publication is an meaningful work in academe. In this paper, the co-author and the citation networks are built to calculate the influence of a researcher and a paper in the way of networks separately with the discussion of further applications. At the beginning, the co-author network is built to determine the influence of co-authors. Then, based on the citations among the papers in the database, we build up the citation network with the help of graph theory. Thirdly, the method is implemented with the application of American Airline network analysis

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Wen, Fangfang. "Study on the research evolution of Nobel laureates 2018 based on self-citation network." Journal of Documentation 75, no. 6 (2019): 1416–31. http://dx.doi.org/10.1108/jd-02-2019-0027.

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Purpose Science is a continuum of experiences consisting of authors and their publications, and the authors’ experience is an integral part of their work that gets reflected through self-citations. Thus, self-citations can be employed in measuring the relevance between publications and tracking the evolution of research. The paper aims to discuss this issue. Design/methodology/approach Based on the bibliographic data obtained from Scopus, this study constructs and visualizes the self-citation networks of ten Nobel laureates 2018, in the fields of Physiology or Medicine, Physics, Chemistry and

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Souma, Wataru, Irena Vodenska, and Lou Chitkushev. "Classification of Paper Values Based on Citation Rank and PageRank." Journal of Data and Information Science 5, no. 3 (2020): 57–70. http://dx.doi.org/10.2478/jdis-2020-0031.

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AbstractPurposeThe number of citations has been widely used to measure the significance of a paper. However, there is a need in introducing another index to determine superiority or inferiority of papers with the same number of citations. We determine superiority or inferiority of papers by using the ranking based on the number of citations and PageRank.Design/methodology/approachWe show the positive linear correlation between Citation Rank (the ranking of the number of citation) and PageRank. On this basis, we identify high-quality, prestige, emerging, and popular papers.FindingsWe found that

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Pichardo-Corpus, Juan A., J. Guillermo Contreras, and José A. de la Peña. "Parametric definition of the influence of a paper in a citation network using communicability functions." Journal of Complex Networks 7, no. 4 (2019): 623–40. http://dx.doi.org/10.1093/comnet/cny037.

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Abstract Communicability functions quantify the flow of information between two nodes of a network. In this work, we use them to explore the concept of the influence of a paper in a citation network. These functions depend on a parameter. By varying the parameter in a continuous way we explore different definitions of influence. We study six citation networks, three from physics and three from computer science. As a benchmark, we compare our results against two frequently used measures: the number of citations of a paper and the PageRank algorithm. We show that the ranking of the articles in a

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de Vries, Y. A., A. M. Roest, M. Franzen, M. R. Munafò, and J. A. Bastiaansen. "Citation bias and selective focus on positive findings in the literature on the serotonin transporter gene (5-HTTLPR), life stress and depression." Psychological Medicine 46, no. 14 (2016): 2971–79. http://dx.doi.org/10.1017/s0033291716000805.

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BackgroundCaspi et al.'s 2003 report that 5-HTTLPR genotype moderates the influence of life stress on depression has been highly influential but remains contentious. We examined whether the evidence base for the 5-HTTLPR–stress interaction has been distorted by citation bias and a selective focus on positive findings.MethodA total of 73 primary studies were coded for study outcomes and focus on positive findings in the abstract. Citation rates were compared between studies with positive and negative results, both within this network of primary studies and in Web of Science. In addition, the im

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WANG, MINGYANG, GUANG YU, and DAREN YU. "THE PREFERENTIAL ATTACHMENT MECHANISM BASING ON WEIGHTED PAST CITATIONS." International Journal of Modern Physics B 25, no. 15 (2011): 2055–61. http://dx.doi.org/10.1142/s0217979211100424.

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In this paper, we investigate the influence of past citations ki on papers' attachment rate Π(k, t) and propose a method to consider these influences by assigning different weights to ki. The correlation r between Π(k, t) and ki decrease rapidly with time, which suggests the different influences of past citations on the preferential attachment in citation networks. According to the different influences of ki on Π(k, t), we put different weights to ki and find a good linear dependence between Π(k, t) and the weighted past citations in three actual citation networks.

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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 (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) 20

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Martinez-Perez, Clara, Cristina Alvarez-Peregrina, Cesar Villa-Collar, and Miguel Ángel Sánchez-Tena. "Current State and Future Trends: A Citation Network Analysis of the Academic Performance Field." International Journal of Environmental Research and Public Health 17, no. 15 (2020): 5352. http://dx.doi.org/10.3390/ijerph17155352.

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Background: In recent years, due to its complexity and relevance, academic performance has become a controversial research topic within the health and educational field. The main purposes of this study were to analyze the links between publications and authors via citation networks, to identify the different research areas and to determine the most cited publications. Methods: The publication search was performed through the Web of Science database, using the term “Academic Performance” for a time interval from 1952 to 2019. The software used to analyze the publications was the Citation Networ

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Ridi, Niccolò. "The Shape and Structure of the ‘Usable Past’: An Empirical Analysis of the Use of Precedent in International Adjudication." Journal of International Dispute Settlement 10, no. 2 (2019): 200–247. http://dx.doi.org/10.1093/jnlids/idz007.

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Abstract How do international adjudicators use precedent? This question has been addressed several times in the literature, but doctrinal accounts have generally failed to consider the aggregate dimension of the phenomenon. This article seeks to provide an alternative outlook by offering a large-scale computational analysis of the body of jurisprudence of three international fora (the ICJ, the WTO Appellate Body and investment arbitration tribunals) and comparing their citation patterns with those of other judicial bodies—national and international. Building on a very large dataset (comprising

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Rodriguez-Esteban, Raul. "Semantic persistence of ambiguous biomedical names in the citation network." Bioinformatics 36, no. 7 (2019): 2224–28. http://dx.doi.org/10.1093/bioinformatics/btz923.

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Abstract Motivation Name ambiguity has long been a central problem in biomedical text mining. To tackle it, it has been usually assumed that names present only one meaning within a given text. It is not known whether this assumption applies beyond the scope of single documents. Results Using a new method that leverages large numbers of biomedical annotations and normalized citations, this study shows that ambiguous biomedical names mentioned in scientific articles tend to present the same meaning in articles that cite them or that they cite, and, to a lesser extent, two steps away in the citat

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DE BENEDICTIS, LUCA, MARIA PROSPERINA VITALE, and STANLEY WASSERMAN. "Examining the literature on “Networks in Space and in Time.” An introduction." Network Science 3, no. 1 (2015): 1–17. http://dx.doi.org/10.1017/nws.2015.13.

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AbstractThe special issue of “Networks in space and in time: methods and applications” contributes to the debate on contextual analysis in network science. It includes seven research papers that shed light on the analysis of network phenomena studied within geographic space and across temporal dimensions. In these papers, methodological issues as well as specific applications are described from different fields. We take the seven papers, study their citations and texts, and relate them to the broader literature. By exploiting the bibliographic information and the textual data of these seven do

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Nascimento, Henrique, Clara Martinez-Perez, Cristina Alvarez-Peregrina, and Miguel Ángel Sánchez-Tena. "Citations Network Analysis of Vision and Sport." International Journal of Environmental Research and Public Health 17, no. 20 (2020): 7574. http://dx.doi.org/10.3390/ijerph17207574.

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Background: Sports vision is a relatively new specialty, which has attracted particular interest in recent years from trainers and athletes, who are looking at ways of improving their visual skills to attain better performance on the field of play. The objective of this study was to use citation networks to analyze the relationships between the different publications and authors, as well as to identify the different areas of research and determine the most cited publication. Methods: The search for publications was carried out in the Web of Science database, using the terms “sport”, “vision”,

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Varga, Attila. "Shorter distances between papers over time are due to more cross-field references and increased citation rate to higher-impact papers." Proceedings of the National Academy of Sciences 116, no. 44 (2019): 22094–99. http://dx.doi.org/10.1073/pnas.1905819116.

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The exponential increase in the number of scientific publications raises the question of whether the sciences are expanding into a fractured structure, making cross-field communication difficult. On the other hand, scientists may be motivated to learn extensively across fields to enhance their innovative capacity, and this may offset the negative effects of fragmentation. Through an investigation of the distances within and clustering of cross-sectional citation networks, this study presents evidence that fields of science become more integrated over time. The average citation distance between

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Donato, Claudia, Paolo Lo Giudice, Roberta Marretta, Domenico Ursino, and Luca Virgili. "A well-tailored centrality measure for evaluating patents and their citations." Journal of Documentation 75, no. 4 (2019): 750–72. http://dx.doi.org/10.1108/jd-10-2018-0168.

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Purpose The development of innovations in all the research and development (R&D) fields is leading to a huge increase of patent data. Therefore, it is reasonable to foresee that, in the next future, Big Data-centered techniques will be compulsory to fully exploit the potential of this kind of data. In this context, network analysis-based approaches are extremely promising. The purpose of this paper is to provide a contribution to this setting. In fact, the authors propose a well-tailored centrality measure for evaluating patents and their citations. Design/methodology/approach The authors

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RICE, RONALD E., CHRISTINE L. BORGMAN, and BYRON REEVES. "Citation Networks of Communication Journals, 1977?1985 Cliques and Positions, Citations Made and Citations Received." Human Communication Research 15, no. 2 (1988): 256–83. http://dx.doi.org/10.1111/j.1468-2958.1988.tb00184.x.

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West, Jevin D., Theodore C. Bergstrom, and Carl T. Bergstrom. "The Eigenfactor MetricsTM: A Network Approach to Assessing Scholarly Journals." College & Research Libraries 71, no. 3 (2010): 236–44. http://dx.doi.org/10.5860/0710236.

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Limited time and budgets have created a legitimate need for quantitative measures of scholarly work. The well-known journal impact factor is the leading measure of this sort; here we describe an alternative approach based on the full structure of the scholarly citation network. The Eigenfactor Metrics—Eigenfactor Score and Article Influence Score—use an iterative ranking scheme similar to Google’s PageRank algorithm. By this approach, citations from top journals are weighted more heavily than citations from lower-tier publications. Here we describe these metrics and the rankings that they prov

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Kreutz, Christin Katharina, Premtim Sahitaj, and Ralf Schenkel. "Evaluating semantometrics from computer science publications." Scientometrics 125, no. 3 (2020): 2915–54. http://dx.doi.org/10.1007/s11192-020-03409-5.

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AbstractIdentification of important works and assessment of importance of publications in vast scientific corpora are challenging yet common tasks subjected by many research projects. While the influence of citations in finding seminal papers has been analysed thoroughly, citation-based approaches come with several problems. Their impracticality when confronted with new publications which did not yet receive any citations, area-dependent citation practices and different reasons for citing are only a few drawbacks of them. Methods relying on more than citations, for example semantic features su

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Schneider, Jodi, Di Ye, Alison M. Hill, and Ashley S. Whitehorn. "Continued post-retraction citation of a fraudulent clinical trial report, 11 years after it was retracted for falsifying data." Scientometrics 125, no. 3 (2020): 2877–913. http://dx.doi.org/10.1007/s11192-020-03631-1.

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AbstractThis paper presents a case study of long-term post-retraction citation to falsified clinical trial data (Matsuyama et al. in Chest 128(6):3817–3827, 2005. 10.1378/chest.128.6.3817), demonstrating problems with how the current digital library environment communicates retraction status. Eleven years after its retraction, the paper continues to be cited positively and uncritically to support a medical nutrition intervention, without mention of its 2008 retraction for falsifying data. To date no high quality clinical trials reporting on the efficacy of omega-3 fatty acids on reducing infla

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Martinez-Perez, Clara, Cristina Alvarez-Peregrina, Cesar Villa-Collar, and Miguel Ángel Sánchez-Tena. "Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)." International Journal of Environmental Research and Public Health 17, no. 20 (2020): 7690. http://dx.doi.org/10.3390/ijerph17207690.

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Background: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. Methods: The search for publications was carried out through the Web of Science database using terms such as “COVID-19” and “SA

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Sanchez-Tena, Miguel Angel, Cristina Alvarez-Peregrina, Jose Sanchez-Valverde, and Cesar Villa-Collar. "Current State and Future Trends: A Citation Network Analysis of the Orthokeratology Field." Journal of Ophthalmology 2019 (March 7, 2019): 1–6. http://dx.doi.org/10.1155/2019/6964043.

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Introduction. Citation network analysis is a powerful tool that allows for a visual and objective representation of the past, present, and potential future directions of a research field. The objective of this study is using citation analysis network to analyse the evolution of knowledge in the field of orthokeratology. Materials and Methods. The database used in this citation networks analysis study was Scopus. The descriptor used was “orthokeratology” limited to three fields: title, keywords, and/or abstract, analysing the five most cited authors. Only articles cited at least twenty times we

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Hu, Feng, Lin Ma, Xiu-Xiu Zhan, et al. "The aging effect in evolving scientific citation networks." Scientometrics 126, no. 5 (2021): 4297–309. http://dx.doi.org/10.1007/s11192-021-03929-8.

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AbstractThe study of citation networks is of interest to the scientific community. However, the underlying mechanism driving individual citation behavior remains imperfectly understood, despite the recent proliferation of quantitative research methods. Traditional network models normally use graph theory to consider articles as nodes and citations as pairwise relationships between them. In this paper, we propose an alternative evolutionary model based on hypergraph theory in which one hyperedge can have an arbitrary number of nodes, combined with an aging effect to reflect the temporal dynamic

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Aleskerov, F. T., A. I. Kazachinskaya, D. S. Karabekyan, A. S. Semina, and V. I. Yakuba. "Economic journals of Russia, their characteristics and network analysis." Journal of the New Economic Association 50, no. 2 (2021): 170–82. http://dx.doi.org/10.31737/2221-2264-2021-50-2-9.

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We study economic journals published in Russia and indexed in the Russian Index of Science Citation (RISC). We analyze citations of 466 journals for 2016–2020 and compare these journals using several metrics: total citation count, Hirsch index, Impact factor RISC, and Science Index RISC. We also use network analysis for citation graphs and compare journals by centrality indices: Copeland index and two new indices: Bundle and Pivotal. We found that “Voprosy Ekonomiki” is the only journal that is among the top-5 journals for all metrics. Other top journals differ for different metrics. We notice

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Li, Yan, Ziyuan Zou, Xiaohui Bian, et al. "Fecal microbiota transplantation research output from 2004 to 2017: a bibliometric analysis." PeerJ 7 (February 20, 2019): e6411. http://dx.doi.org/10.7717/peerj.6411.

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Background Fecal microbiota transplantation (FMT) is an emerging therapy against Clostridium difficile infection (CDI) and inflammatory bowel disease (IBD). Although the therapy has gained prominence, there has been no bibliometric analysis of FMT. Methods Studies published from 2004 to 2017 were extracted from the Science Citation Index Expanded. Bibliometric analysis was used to evaluate the number or cooperation network of publications, countries, citations, references, journals, authors, institutions and keywords. Results A total of 796 items were included, showing an increasing trend annu

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Woehle, Ralph Edward. "United They’re Cited: Impact of a Social Work Coauthor Network." Advances in Social Work 16, no. 2 (2016): 422–38. http://dx.doi.org/10.18060/18426.

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Social work has emphasized the importance of the social environment, and social networks are an important means of understanding the social environment. The scholarship of a journal coauthor network provided important findings and an example. Prior theory and research suggested there are more citations from the center of coauthor networks than at the periphery. Using abductive logic, complexity theory, social network analysis, and tabular analysis of a social work coauthor network, the center of the network was found to produce more citations than the periphery. Both the prestige of coauthors’

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Leydesdorff, Loet. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact." Environment and Planning B: Planning and Design 34, no. 5 (2007): 826–38. http://dx.doi.org/10.1068/b3307t.

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The citation impact of Environment and Planning B: Planning and Design can be visualized using its citation relations with journals in its environment as the links of a network. The size of the nodes is varied in correspondence to the relative citation impact in this environment. Additionally, one can correct for the effect of within-journal ‘self’-citations. The network can be partitioned and clustered using algorithms from social network analysis. After transposing the matrix in terms of rows and columns, the citing patterns can be mapped analogously. Citing patterns reflect the activity of

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Noel, Steven, Chee-Hung Henry Chu, and Vijay Raghavan. "Co-Citation Count vs Correlation for Influence Network Visualization." Information Visualization 2, no. 3 (2003): 160–70. http://dx.doi.org/10.1057/palgrave.ivs.9500049.

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Visualization of author or document influence networks as a two-dimensional image can provide key insights into the direct influence of authors or documents on each other in a document collection. The influence network is constructed based on the minimum spanning tree, in which the nodes are documents and an edge is the most direct influence between two documents. Influence network visualizations have typically relied on co-citation correlation as a measure of document similarity. That is, the similarity between two documents is computed by correlating the sets of citations to each of the two

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Zhao, Weidong, Zhaoxin Yu, and Ran Wu. "A citation recommendation method based on context correlation." Intelligent Data Analysis 25, no. 1 (2021): 225–43. http://dx.doi.org/10.3233/ida-195041.

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Researchers need to formulate their achievements as research papers. Representative references are essential to high-quality papers. Academic citation recommendation refers to providing the recommendation of citations for the author of papers when they write. With the help of citation recommendation, researchers can improve the efficiency of writing academic papers and reduce the omission of important related literature. To achieve this goal, some methods were proposed. Many of them used citation networks to learn the representation of papers and chose references, they tended to ignore the con

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Sánchez-Tena, Miguel Ángel, Clara Martinez-Perez, Cesar Villa-Collar, and Cristina Alvarez-Peregrina. "Impact of COVID-19 at the Ocular Level: A Citation Network Study." Journal of Clinical Medicine 10, no. 7 (2021): 1340. http://dx.doi.org/10.3390/jcm10071340.

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Background: The main objective of this study was to use citation networks to analyze the relationship between different publications on the impact of COVID-19 at an ocular level and their authors. Furthermore, the different research areas will be identified, and the most cited publication will be determined. Materials and Methods: The publications were searched within the Web of Science database, using “ocular”, “SARS-CoV-2”, “ophthalmology”, “eyesight”, and “COVID-19” as keywords for the period between January 2020 and January 2021. The Citation Network Explorer and the CiteSpace software wer

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Sanchez-Tena, Miguel Angel M. A., Cristina C. Alvarez-Peregrina, and Cesar C. Villa-Collar. "Dry Eye Analysis: A Citation Network Study." Journal of Ophthalmology 2019 (August 14, 2019): 1–9. http://dx.doi.org/10.1155/2019/3048740.

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Introduction. Dry eye is one of the most frequent eye problems with prevalence and incidence from 5% to 50%. Citation network analysis allows us to simplify information in a visual way and provides a better understanding of the research done in a specific field. The objective of this paper is to quantify and analyse the relationships among the scientific literature in this field using citation network analysis. Materials and Methods. The program used to analyse the citations was CitNetExplorer®. Previously, papers published in the research field during a predefined period were found using the

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Euske, Kenneth J., James W. Hesford, and Mary A. Malina. "A Social Network Analysis of the Literature on Management Control." Journal of Management Accounting Research 23, no. 1 (2011): 259–83. http://dx.doi.org/10.2308/jmar-10086.

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ABSTRACT This paper investigates the literature on management control published in accounting and management journals. Social network analysis of citation data from the 25-year period 1981–2005 enables us to examine topics and ties among researchers. Social ties have important consequences for the development of the literature, shaping topics, research methods, and the diffusion of knowledge. We observe minimal communication between the two disciplines, appearing as two distinct communities despite similar interests. This lack of communication includes citations and authoring across the two di

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Khanam, Nidha, and Rupali Sunil Wagh. "Sub graph sampling and case citation network: a case study." International Journal of Engineering & Technology 7, no. 3 (2018): 1286. http://dx.doi.org/10.14419/ijet.v7i3.11820.

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Graphs or networks very commonly are used to represent connected or linked data. With the penetration of www in every sphere of life networked relationships can be easily established through communication links over web and network and graph analysis come as obvious choices of data representation and analysis. There are processes which can be analysed as network not through web but through the knowledge links available in these domains. In both these cases network analysis is challenged by the enormous size of the network in terms of nodes and links. Sub graph sampling can effectively be emplo

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Tao, Shaoyu, Chaoyuan Shen, Li Zhu, and Tao Dai. "SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation." Computational Intelligence and Neuroscience 2020 (October 22, 2020): 1–12. http://dx.doi.org/10.1155/2020/5343214.

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Context-aware citation recommendation aims to automatically predict suitable citations for a given citation context, which is essentially helpful for researchers when writing scientific papers. In existing neural network-based approaches, overcorrelation in the weight matrix influences semantic similarity, which is a difficult problem to solve. In this paper, we propose a novel context-aware citation recommendation approach that can essentially improve the orthogonality of the weight matrix and explore more accurate citation patterns. We quantitatively show that the various reference patterns

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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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Frankenreiter, Jens. "Network Analysis and the Use of Precedent in the Case Law of the CJEU – A Reply to Derlén and Lindholm." German Law Journal 18, no. 3 (2017): 687–94. http://dx.doi.org/10.1017/s2071832200022112.

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During the last decades, social network analysis has been established as a key technique in a number of disciplines in social science. Its main promise is that it provides tools for researchers to take into account the social context of individual entities or actors. Legal scholars, by contrast, have only recently started to make use of these tools. Nowadays, one particularly prominent application is the use of network analysis to analyze the citation networks of different national and international courts. The contribution by Derlén and Lindholm published in this issue of theGerman Law Journa

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Xu, Qi, Xinjian Gu, and Yujing Feng. "Knowledge Adaptability Evaluation in View of Patent Citation in Technological Evolutionary Process: A Case Study of Fuel Cell." International Journal of Software Engineering and Knowledge Engineering 25, no. 08 (2015): 1335–64. http://dx.doi.org/10.1142/s0218194015500278.

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This work uses patents as agent and proposes the concept of knowledge adaptation factor in view of the objective law of survival of the fittest in technological evolutionary process. Knowledge genetic decomposition of a patent citation network is executed based on the Mendel law. And the contributions of early patents on current patents along patent citations are quantified to evaluate knowledge adaptability. Then the feasibility and effectiveness of the knowledge adaptability evaluation method are verified with the case study of fuel cell. This study collects 3054 patents related to fuel cell

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Stoica, Adelina-Alexandra. "Homophily in co-autorship networks." International Review of Social Research 8, no. 2 (2018): 119–28. http://dx.doi.org/10.2478/irsr-2018-0014.

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Abstract The main purpose of this paper is to measure the impact that homophily, structural characteristics of the networks, number of citations of the alters and their Hirsch score have on the number of citations of an ego. I have chosen co-authorship networks as a subject of research because they have a great influence on knowledge and on the diffusion of ideas. The studied populations are represented by full-time academics affiliated to sociology departments in Romania, Poland and Slovenia. Ego-network analysis was used as research design. The data was analyzed using linear hierarchical reg

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Zhang, Fang, and Shengli Wu. "Measuring academic entities’ impact by content-based citation analysis in a heterogeneous academic network." Scientometrics 126, no. 8 (2021): 7197–222. http://dx.doi.org/10.1007/s11192-021-04063-1.

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AbstractEvaluating the impact of papers, researchers and venues objectively is of great significance to academia and beyond. This may help researchers, research organizations, and government agencies in various ways, such as helping researchers find valuable papers and authoritative venues and helping research organizations identify good researchers. A few studies find that rather than treating citations equally, differentiating them is a promising way for impact evaluation of academic entities. However, most of those methods are metadata-based only and do not consider contents of cited and ci

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Kremer, Reinhard K., Annette Bussmann-Holder, Hugo Keller, and Robin Haunschild. "The Crucial Things in Science Often Happen Quite Unexpectedly—Das Entscheidende in der Wissenschaft geschieht oft ganz unerwartet (K. Alex Müller)." Condensed Matter 5, no. 3 (2020): 43. http://dx.doi.org/10.3390/condmat5030043.

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We analyzed the publication output of one of the 1987 Nobel Prize awardees, K. Alex Müller, using bibliometric methods. The time-dependent number of publications and citations and the network with respect to the coauthors and their affiliations was studied. Specifically, the citation history of the Nobel Prize awarded 1986 article on “Possible high-temperature superconductivity in the Ba-La-Cu-O system” has been evaluated in terms of the overall number of articles on superconductivity and the corresponding citations of other most frequently referenced articles. Thereby, a publication with “del

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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 (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

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Grundy, Quinn, Anna Millington, Cliodna Cussen, Fabian Held, and Craig M. Dale. "Promotion or education: a content analysis of industry-authored oral health educational materials targeted at acute care nurses." BMJ Open 10, no. 11 (2020): e040541. http://dx.doi.org/10.1136/bmjopen-2020-040541.

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ObjectivesTo assess the nature, quality and independence of scientific evidence provided in support of claims in industry-authored educational materials in oral health.DesignA content analysis of educational materials authored by the four major multinational oral health product manufacturers.SettingAcute care settings.Participants68 documents focused on oral health or oral care, targeted at acute care clinicians and identified as ‘educational’ on companies’ international websites.Main outcome measuresData were extracted in duplicate for three areas of focus: (a) products referenced in the docu

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Xu, Ling, Jingjing Zhang, and Qinhua Zheng. "The landscape of Chinese open educational resources research." Campus-Wide Information Systems 31, no. 4 (2014): 230–41. http://dx.doi.org/10.1108/cwis-09-2013-0056.

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Purpose – After the official definition of Open Educational Resources (OER) at the Forum on Open Courseware for Higher Education in Developing Countries in 2002, the concept was soon introduced to China and popularised among scholars, practitioners, and educators. After ten years of proliferation, it is important to explore the landscape of Chinese OER research. The paper aims to discuss these issues. Design/methodology/approach – This paper adopts social network analysis (SNA) to analyse the network defining the citations of 133 OER journal articles published in China. Findings – The findings

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Daud, Ali, Waqas Ahmed, Tehmina Amjad, et al. "Who will cite you back? Reciprocal link prediction in citation networks." Library Hi Tech 35, no. 4 (2017): 509–20. http://dx.doi.org/10.1108/lht-02-2017-0044.

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Purpose Link prediction in social networks refers toward inferring the new interactions among the users in near future. Citation networks are constructed based on citing each other papers. Reciprocal link prediction in citations networks refers toward inferring about getting a citation from an author, whose work is already cited by you. The paper aims to discuss these issues. Design/methodology/approach In this paper, the authors study the extent to which the information of a two-way citation relationship (called reciprocal) is predictable. The authors propose seven different features based on

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Wallace, Matthew L., Vincent Larivière, and Yves Gingras. "A Small World of Citations? The Influence of Collaboration Networks on Citation Practices." PLoS ONE 7, no. 3 (2012): e33339. http://dx.doi.org/10.1371/journal.pone.0033339.

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Li, Jiang, and Peter Willett. "ArticleRank: a PageRank‐based alternative to numbers of citations for analysing citation networks." Aslib Proceedings 61, no. 6 (2009): 605–18. http://dx.doi.org/10.1108/00012530911005544.

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Witting, Antje. "Measuring the Use of Knowledge in Policy Development." Central European Journal of Public Policy 9, no. 2 (2015): 54–62. http://dx.doi.org/10.1515/cejpp-2016-0012.

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Abstract Public hearings are frequently used on all levels of government to systematically collect and analyze information in the early stages of legislative policymaking. The methods currently employed measure knowledge utilization in this context by means of citation analysis of edited articles and/or reports that summarize the information shared at these meetings. By combining citation analysis and social network analysis, this article develops a methodology that can be used to capture citations in transcripts of public hearings that precede these reports. In order to demonstrate its streng

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Aljuaid, Hanan, Rimsha Iftikhar, Shahbaz Ahmad, Muhammad Asif, and Muhammad Tanvir Afzal. "Important citation identification using sentiment analysis of in-text citations." Telematics and Informatics 56 (January 2021): 101492. http://dx.doi.org/10.1016/j.tele.2020.101492.

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Köseoğlu, Mehmet Ali, and John Parnell. "The evolution of the intellectual structure of strategic management between 1980 and 2019." Journal of Strategy and Management 13, no. 4 (2020): 503–34. http://dx.doi.org/10.1108/jsma-05-2020-0102.

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PurposeThe authors evaluate the evolution of the intellectual structure of strategic management (SM) by employing a document co-citation analysis through a network analysis for academic citations in articles published in the Strategic Management Journal (SMJ).Design/methodology/approachThe authors employed the co-citation analysis through the social network analysis.FindingsThe authors outlined the evolution of the academic foundations of the structure and emphasized several domains. The economic foundation of SM research with macro and micro perspectives has generated a solid knowledge stock

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