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Journal articles on the topic 'Co-citation Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Milman, B. L., and Yu A. Gavrilova. "Analysis of citation and co-citation in chemical engineering." Scientometrics 27, no. 1 (1993): 53–74. http://dx.doi.org/10.1007/bf02017755.

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Oda, Tetsuaki, Kiminori Gemba, and Katsumori Matsushima. "Enhanced co-citation analysis using frameworks." Technology Analysis & Strategic Management 20, no. 2 (2008): 217–29. http://dx.doi.org/10.1080/09537320801931713.

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Ferreira, Joao Jose M., Cristina I. Fernandes, Marta Peris Ortiz, and Vanessa Ratten. "Female entrepreneurship: a co-citation analysis." International Journal of Entrepreneurship and Small Business 31, no. 2 (2017): 325. http://dx.doi.org/10.1504/ijesb.2017.10004863.

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Sainaghi, Ruggero, Mehmet Ali Köseoglu, Francesca d’Angella, and Fuad Mehraliyev. "Sharing economy: a co-citation analysis." Current Issues in Tourism 23, no. 8 (2019): 929–37. http://dx.doi.org/10.1080/13683500.2019.1588233.

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Jeong, Yoo Kyung, Min Song, and Ying Ding. "Content-based author co-citation analysis." Journal of Informetrics 8, no. 1 (2014): 197–211. http://dx.doi.org/10.1016/j.joi.2013.12.001.

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Zhao, Dangzhi. "Towards all-author co-citation analysis." Information Processing & Management 42, no. 6 (2006): 1578–91. http://dx.doi.org/10.1016/j.ipm.2006.03.022.

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7

Kraus, Sascha, Matthias Filser, Fabian Eggers, Gerald E. Hills, and Claes M. Hultman. "The entrepreneurial marketing domain: a citation and co‐citation analysis." Journal of Research in Marketing and Entrepreneurship 14, no. 1 (2012): 6–26. http://dx.doi.org/10.1108/14715201211246698.

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Hu, Chunjia, Michael Song, and Feng Guo. "Intellectual structure of market orientation: a citation/co-citation analysis." Marketing Intelligence & Planning 37, no. 6 (2019): 598–616. http://dx.doi.org/10.1108/mip-08-2018-0325.

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Purpose The purpose of this paper is to employ a quantitative approach to explore the intellectual structure of the market orientation (MO) field over the course of its development. Design/methodology/approach This research was conducted by using the bibliometric techniques of citation and co-citation analyses to investigate 1,892 publications in the MO field from 1990 to 2016, as well as factor analysis and multidimensional scaling to present a clear visual experience of the knowledge structure of the MO filed. Findings This study reveals meaningful outputs to assist in: delineating the criti

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He, Yulan, and Siu Cheung Hui. "Mining a Web Citation Database for author co-citation analysis." Information Processing & Management 38, no. 4 (2002): 491–508. http://dx.doi.org/10.1016/s0306-4573(01)00046-2.

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Bae, Kyungim. "A Study on the Knowledge Network Analysis Method of Multicultural Education : Focusing on Keyword Co-Citation, Thesis Co-Citation and Author Co-Citation Analysis." Journal of Next-generation Convergence Technology Association 6, no. 9 (2022): 1716–36. http://dx.doi.org/10.33097/jncta.2022.06.09.1716.

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Kim, Ha Jin, Yoo Kyung Jeong, and Min Song. "Content- and proximity-based author co-citation analysis using citation sentences." Journal of Informetrics 10, no. 4 (2016): 954–66. http://dx.doi.org/10.1016/j.joi.2016.07.007.

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Murai, Hajime, and Akifumi Tokosumi. "Co-citation Network Analysis of Religious Texts." Transactions of the Japanese Society for Artificial Intelligence 21 (2006): 473–81. http://dx.doi.org/10.1527/tjsai.21.473.

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Tsay, Ming-yueh, Hong Xu, and Chia-wen Wu. "Author co-citation analysis of semiconductor literature." Scientometrics 58, no. 3 (2003): 529–45. http://dx.doi.org/10.1023/b:scie.0000006878.83104.61.

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Hicks, D. "A cautionary view of co-citation analysis." Research Evaluation 1, no. 1 (1991): 31–36. http://dx.doi.org/10.1093/rev/1.1.31.

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15

Gupta, Anamika, Shikha Gupta, Mukul Bisht, Prestha Hooda, and Md Salik. "Document Co-citation Analysis using Concept Lattice." Engineering, Technology & Applied Science Research 13, no. 5 (2023): 11837–42. http://dx.doi.org/10.48084/etasr.6201.

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Document Co-citation Analysis (DCA) is a method to identify and analyze the relationships between co-cited documents. In this paper, we attempt to use concept lattice for DCA. Concept lattice is a graph structure given in Formal Concept Analysis (FCA), a branch of mathematics based on the concept and its hierarchy. The experiments are conducted on an extensive repository of citations extracted from DBLP, ACM, MAG (Microsoft Academic Graph), and other sources, having a total of 5,354,309 papers and 48,227,950 citation relationships. In this paper, it is established that the concept lattice supp

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Wang, Binglu, Yi Bu, and Win-bin Huang. "Document- and Keyword-based Author Co-citation Analysis." Data and Information Management 2, no. 2 (2018): 70–82. http://dx.doi.org/10.2478/dim-2018-0009.

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AbstractIn the field of scientometrics, the principal purpose for author co-citation analysis (ACA) is to map knowledge domains by quantifying the relationship between co-cited author pairs. However, traditional ACA has been criticized since its input is insufficiently informative by simply counting authors’ co-citation frequencies. To address this issue, this paper introduces a new method that reconstructs the raw co-citation matrices by regarding document unit counts and keywords of references, named as Document- and Keyword-Based Author Co-Citation Analysis (DKACA). Based on the traditional

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Mogee, Mary Ellen, and Richard G. Kolar. "Patent co-citation analysis of Eli Lilly & Co. patents." Expert Opinion on Therapeutic Patents 9, no. 3 (1999): 291–305. http://dx.doi.org/10.1517/13543776.9.3.291.

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18

., Shweta, Priyalaxmi Gurumayum, Neelu Tiwari, Meenakshi Kaushik, Chitra Jha, and Madhu Arora. "AI-Driven Transformations in Higher Education: A Citation and Co-citation Analysis." International Journal of Experimental Research and Review 45, Spl Vol (2024): 261–73. https://doi.org/10.52756/ijerr.2024.v45spl.021.

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Integrating artificial intelligence (AI) in the educational field can revolutionize teaching and learning outcomes, increase research capacity, and expedite administrative processes. The application of AI-powered virtual learning aids, customized learning platforms, and intelligent educational platforms, can boost the engagement of students, offer real-time feedback and support, and aid customized learning. Additionally, AI-based administrative systems may automate repetitive processes like financial aid processing, enrolment, and admissions, freeing up important resources for more strategic e

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Wang, Nianxin, Huigang Liang, Yu Jia, Shilun Ge, Yajiong Xue, and Zhining Wang. "Cloud computing research in the IS discipline: A citation/co-citation analysis." Decision Support Systems 86 (June 2016): 35–47. http://dx.doi.org/10.1016/j.dss.2016.03.006.

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Robledo-Giraldo, Sebastian, Jose Gregorio Figueroa-Camargo, Martha Viviana Zuluaga-Rojas, Sol Beatriz Vélez-Escobar, and Pedro Luis Duque- Hurtado. "Mapping, evolution, and application trends in co-citation analysis: a scientometric approach." Revista de Investigación, Desarrollo e Innovación 13, no. 1 (2023): 201–14. http://dx.doi.org/10.19053/20278306.v13.n1.2023.16070.

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This study aims to explore the mapping, evolution, and application trends of co-citation analysis. To accomplish this goal, a comprehensive search was conducted using Scopus and Web of Science, resulting in 1298 relevant studies. Further analysis was conducted on scientific production, country, author, journal, and network data. The Tree of Science algorithm was applied to demonstrate the development of co-citation analysis. The results make three significant contributions to scientometric research: Firstly, a scientific mapping is presented highlighting the scientific output, main journals, a

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21

Vishnu Kumar Kaliappan. "Cluster Analysis for Assisted Healthcare Approval in Pervasive Social Networks." Communications on Applied Nonlinear Analysis 32, no. 3 (2024): 638–48. https://doi.org/10.52783/cana.v32.2378.

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The idea of pervasive social network (PSN)-based healthcare is prompted by contemporary wireless sensing and mobile computer technology. The main challenge is how a PSN node may safely transmit health information to other nodes in the network to implement the notion. In this research, we suggest a safe PSN-based health service. With its assistance, we were able to develop the subject category infrastructure to recognise the top research fields, the research electricity network to identify the most productive countries and institutions, the journal co-citation map to identify the distribution o

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22

Kyosova, Anna D. "Social Media Crowdsourcing a Co-Citation Bibliometric Analysis." International Journal of Innovation, Management and Technology 15, no. 4 (2024): 82–89. http://dx.doi.org/10.18178/ijimt.2024.15.4.967.

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Social media crowdsourcing has rapidly expanded into multitudes of academic spheres. This article aims to create an exhaustive bibliometric analysis of the expanding field of social media crowdsourcing with the objective of mapping the scholarly impact, thematic concentrations, and intellectual structure of already existing literature and their fields of research. A comprehensive analysis of the literature on crowdsourcing and social media was conducted using advanced statistical methodologies and tools such as Bibliometrix and Biblioshiny. The publications closely related to these topics were

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23

Trujillo, Caleb M., and Tammy M. Long. "Document co-citation analysis to enhance transdisciplinary research." Science Advances 4, no. 1 (2018): e1701130. http://dx.doi.org/10.1126/sciadv.1701130.

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Li, Jie, Floris Goerlandt, and Genserik Reniers. "Trevor Kletz's scholarly legacy: A co-citation analysis." Journal of Loss Prevention in the Process Industries 66 (July 2020): 104166. http://dx.doi.org/10.1016/j.jlp.2020.104166.

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Wang, Xuezhao, Yajuan Zhao, Rui Liu, and Jing Zhang. "Knowledge-transfer analysis based on co-citation clustering." Scientometrics 97, no. 3 (2013): 859–69. http://dx.doi.org/10.1007/s11192-013-1077-6.

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van Eck, Nees Jan, and Ludo Waltman. "Appropriate similarity measures for author co‐citation analysis." Journal of the American Society for Information Science and Technology 59, no. 10 (2008): 1653–61. http://dx.doi.org/10.1002/asi.20872.

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27

Phan, Hoai Vu, Cheng-Po Lai, Hsinkuang Li, Hanh Thi My Le, and Thi Kim Nguyen. "MAPPING THE INVESTMENT EFFICIENCY: A CO-CITATION ANALYSIS." International Journal of Industrial Management 18, no. 1 (2024): 60–71. http://dx.doi.org/10.15282/ijim.18.1.2024.10426.

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This research pioneers a shift in investment efficiency exploration by transcending traditional measurement approaches. The study identifies three main research areas: (1) Factors influencing investment efficiency, (2) Competition, green Research and Development (R&D) and cooperation in the supply chain, and (3) Environmental and renewable considerations in investment efficiency. This is achieved through a document co-citation analysis of 38 highly cited documents. Multidimensional scaling visually maps the intellectual landscape, emphasising the dominance of factors influencing investment

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28

Pham, Xuan Lan, Phuong Minh Binh Nguyen, and Giang Nu To Truong. "A Co-Word and Co-Citation Analysis of Digital Marketing Research." International Journal of Service Science, Management, Engineering, and Technology 13, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijssmet.304817.

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As one of the most recent forms of marketing, digital marketing has emerged as the fastest-growing sector of the industry. A large number of academic studies have been published on different aspects of this field. The main objectives of this paper are to illustrate the evolution of the marketing field, examine the research focuses, and identify the future trends of digital marketing research using a combined bibliometric approach of co-word and co-citation analysis. Using the Web of Science (WoS) database, a representative set of 254 academic publications was selected and analyzed by VOSviewer

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Srivastava, Anamika, Bhawna Mukaria, and Madhu Arora. "Influencer Marketing: A Citation and Co-citation Analysis within Business and Management Domains." International Journal of Experimental Research and Review 44 (October 30, 2024): 149–61. http://dx.doi.org/10.52756/ijerr.2024.v44spl.013.

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Influencer marketing has emerged as a popular approach businesses use to incorporate social influence into their operations and marketing strategies. It seems to be a useful and cost-effective strategy. It ensures a broad reach to highly engaged audiences and is frequently not interpreted by consumers as advertising. Many companies use influencers on social media to market their products to certain audiences. Carryminati, Khusha Kapila, Bhuvan Bam, and Riaz are famous social media influencers. The purpose of this study is to use bibliometric analysis to compile the body of knowledge on influen

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30

Hota, Pradeep Kumar, Balaji Subramanian, and Gopalakrishnan Narayanamurthy. "Mapping the Intellectual Structure of Social Entrepreneurship Research: A Citation/Co-citation Analysis." Journal of Business Ethics 166, no. 1 (2019): 89–114. http://dx.doi.org/10.1007/s10551-019-04129-4.

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31

Sánchez, Pérez Manuel, Yépez Eduardo Terán, Carrillo María Belén Marín, and López Nuria Rueda. "40 years of sharing economy research: An intellectual and cognitive structures analysis." International Journal of Hospitality Management 94, April (2021): 102856. https://doi.org/10.5281/zenodo.13341768.

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This study aims to analyze the intellectual and cognitive structures of the sharing economy as a field of research. Adopting an integrated bibliometric approach of citation, co-citation, and co-word analysis, this study analyses 941 articles published on Web of Science from 1978 to 2019. Findings reveal that despite there being a latent concentration in citations distribution, the ascending and descending influence patterns discovered over time indicate a dynamic flow and healthy growth of the field. The analysis of the intellectual structure identifies four main areas of research, with hospit

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32

Boyack, Kevin W., and Richard Klavans. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?" Journal of the American Society for Information Science and Technology 61, no. 12 (2010): 2389–404. http://dx.doi.org/10.1002/asi.21419.

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33

., Vijaya, and Himendu Prakash Mathur. "A Decade of Donation-Based Crowdfunding: A Bibliometric Analysis using the SCOPUS Database." Purushartha - A Journal of Management Ethics and Spirituality 15, no. 02 (2022): 32–51. http://dx.doi.org/10.21844/16202115203.

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This paper conducts a bibliometric analysis of the literature on donation-based crowdfunding by identifying important publications, authors, journals, countries, and frequently occurring keywords using VOSviewer. It analyzes a dataset of 701 publications sourced from the SCOPUS database with the help of five bibliometric techniques, including co-citation analysis, citation analysis, co-occurrence analysis, co-authorship, and bibliographic coupling. The citations and co-citation analysis of references reveal that "The dynamics of crowdfunding: An exploratory study" by Mollick, 2014 is the most

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34

Bradley, James, Sitaram Devarakonda, Avon Davey, et al. "Co-citations in context: Disciplinary heterogeneity is relevant." Quantitative Science Studies 1, no. 1 (2020): 264–76. http://dx.doi.org/10.1162/qss_a_00007.

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Citation analysis of the scientific literature has been used to study and define disciplinary boundaries, to trace the dissemination of knowledge, and to estimate impact. Co-citation, the frequency with which pairs of publications are cited, provides insight into how documents relate to each other and across fields. Co-citation analysis has been used to characterize combinations of prior work as conventional or innovative and to derive features of highly cited publications. Given the organization of science into disciplines, a key question is the sensitivity of such analyses to frame of refere

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35

Zehoul, Anne B. "THE INTELLECTUAL DEVELOPMENT OF THE PRODUCT-SERVICE SYSTEM CONCEPT: A CITATION / CO-CITATION ANALYSIS." Revista Latino-Americana de Inovação e Engenharia de Produção 9, no. 16 (2021): 104. http://dx.doi.org/10.5380/relainep.v9i16.82308.

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36

Walter, Christian, and Vincent Ribière. "A citation and co-citation analysis of 10 years of KM theory and practices." Knowledge Management Research & Practice 11, no. 3 (2013): 221–29. http://dx.doi.org/10.1057/kmrp.2013.25.

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37

Leung, Xi Y., Jie Sun, and Billy Bai. "Bibliometrics of social media research: A co-citation and co-word analysis." International Journal of Hospitality Management 66 (September 2017): 35–45. http://dx.doi.org/10.1016/j.ijhm.2017.06.012.

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38

Jo, Seon-Rye, and Jae-Yun Lee. "Journal Co-citation Analysis for Library Services in Pharmaceutics." Journal of Information Management 43, no. 1 (2012): 159–85. http://dx.doi.org/10.1633/jim.2012.43.1.159.

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39

Huang, Chiung-Yu, Shu-Fang Yuan, Chung Dong Quang, and Anh Thi Truc Nguyen. "What Factors Affect Investment Efficiency? A Co-citation Analysis." Universal Journal of Accounting and Finance 10, no. 6 (2022): 913–24. http://dx.doi.org/10.13189/ujaf.2022.100601.

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40

Muppidi, Satish, and K. Thammi Reddy. "Co-occurrence analysis of scientific documents in citation networks." International Journal of Knowledge-based and Intelligent Engineering Systems 24, no. 1 (2020): 19–25. http://dx.doi.org/10.3233/kes-200025.

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41

Balaji, A., S. Sendhilkumar, and G. S. Mahalakshmi. "Tracing best semantic path using co-citation proximity analysis." Biblios: Journal of Librarianship and Information Science, no. 74 (June 25, 2019): 15–28. http://dx.doi.org/10.5195/biblios.2019.349.

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Objetivo. El objetivo de este trabajo es encontrar la mejor trayectoria semántica de los trabajos de investigación que coincida con la publicación de la investigación en cuestión. En este trabajo se profundiza en los hallazgos del análisis del progreso de la investigación continua desde una perspectiva semántica.Metodología. En trabajos anteriores se informó sobre el análisis del progreso del trabajo y los enfoques integrados y optimizados para encontrar las citas de investigación progresivas que habían llevado adelante la esencia del documento de referencia básico. En este trabajo se propone

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42

Zhou, Wei. "Mapping of Barrier Option Pricing: A Co-citation Analysis." Journal of Finance and Accounting 7, no. 2 (2019): 40. http://dx.doi.org/10.11648/j.jfa.20190702.12.

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43

Schildt, Henri A., Shaker A. Zahra, and Antti Sillanpaa. "Scholarly Communities in Entrepreneurship Research: A Co-Citation Analysis." Entrepreneurship Theory and Practice 30, no. 3 (2006): 399–415. http://dx.doi.org/10.1111/j.1540-6520.2006.00126.x.

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44

Bu, Yi, Binglu Wang, Zaida Chinchilla-Rodríguez, Cassidy R. Sugimoto, Yong Huang, and Win-bin Huang. "Considering author sequence in all-author co-citation analysis." Information Processing & Management 57, no. 6 (2020): 102300. http://dx.doi.org/10.1016/j.ipm.2020.102300.

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Ferreira, João José M., Cristina I. Fernandes, and Vanessa Ratten. "A co-citation bibliometric analysis of strategic management research." Scientometrics 109, no. 1 (2016): 1–32. http://dx.doi.org/10.1007/s11192-016-2008-0.

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46

Khasseh, Ali Akbar, Faramarz Soheili, and Afshin Mousavi Chelak. "An author co-citation analysis of 37 years of iMetrics." Electronic Library 36, no. 2 (2018): 319–37. http://dx.doi.org/10.1108/el-09-2016-0191.

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Purpose This research aims to examine the intellectual structure of iMetrics through author co-citation analysis. Design/methodology/approach This research uses common techniques in bibliometrics and social network analysis. It analyses 5,944 records from the Web of Science in the field of iMetrics that are published between 1978 and 2014. Findings Findings indicated that researchers including “Garfield”, “Egghe”, “Glanzel”, “Leydesdorff” and “Price” have received many co-citations. The author co-citation analysis in iMetrics resulted in eight thematic clusters, including “theoretical foundati

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47

Fang, Yu-Shen. "Review of the development of research themes in human resource management: A bibliometric co-citation analysis of the 1970s and 1980s." Human Resources Management and Services 7, no. 1 (2025): 3578. https://doi.org/10.18282/hrms3578.

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This study aims to explore the evolution of the human resources field in Western academia during the 1970s and 1980s, focusing on the trends in research topics across different decades. The analysis utilizes citation co-citation analysis, multivariate statistical analysis, and social network analysis. The research data were drawn from the Web of Science (WoS) database, comprising 1278 documents. By distinguishing between different time periods, the study identifies shifts in the field across two distinct time frames, visualized through multidimensional scaling maps. The results indicate that t

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48

Kraus, Sascha, Hongbo Li, Qi Kang, Paul Westhead, and Victor Tiberius. "The sharing economy: a bibliometric analysis of the state-of-the-art." International Journal of Entrepreneurial Behavior & Research 26, no. 8 (2020): 1769–86. http://dx.doi.org/10.1108/ijebr-06-2020-0438.

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PurposeQuantitative bibliometric approaches were used to statistically and objectively explore patterns in the sharing economy literature.Design/methodology/approachJournal (co-)citation analysis, author (co-)citation analysis, institution citation and co-operation analysis, keyword co-occurrence analysis, document (co-)citation analysis and burst detection analysis were conducted based on a bibliometric data set relating to sharing economy publications.FindingsSharing economy research is multi- and interdisciplinary. Journals focused upon products liability, organizing framework, profile char

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49

Tsay, Ming-Yueh, Yu-Wei Tseng, and Jia-Hsuan Lin. "Knowledge domain analysis of artificial intelligence in automation and control systems." COLLNET Journal of Scientometrics and Information Management 18, no. 1 (2024): 45–61. http://dx.doi.org/10.47974/cjsim-2023-0013.

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This study mainly explores the evolution in the subject development of artificial intelligence documents in the field of automation and control systems from 1956 to 2019. Based on the search in WoS SCIE database, 27,782 documents are revealed. The VOSviewer is then employed to draw the co-citation network diagram. Moreover, both VOSviewer and Citespace are used to draw the keyword co-occurrence network diagram and the burst word change diagram from 2000 to 2019 to master the field trend. The results from the keyword co-occurrence reveal that “neural network” and “adaptive control” are the main

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50

Yu, Weidong. "Using author tri-citation analysis to map knowledge domains in knowledge representations." Electronic Library 35, no. 6 (2017): 1215–24. http://dx.doi.org/10.1108/el-11-2016-0240.

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Purpose Previous commonly used author co-citation analysis (ACA) methods have limited the ability to deal with accidental co-citation in constructing a raw co-citation matrix. Therefore, the purpose of this paper is to propose a new method, called author tri-citation analysis (ATA), to better map knowledge domains and depict scientific intellectual structures. Design/methodology/approach Different from the previous method of using ACA that captures author co-citation relationships, the ATA method seeks tri-citation relationships among authors. Compared with ACA, ATA can ignore some accidental

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