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Exploring the modelling and simulation knowledge base through journal co-citation analysis

Author

Listed:
  • Navonil Mustafee

    (University of Exeter Business School)

  • Korina Katsaliaki

    (International Hellenic University)

  • Paul Fishwick

    (The University of Texas at Dallas)

Abstract

Co-citation analysis is a form of content analysis that can be applied in the context of scholarly publications with the purpose of identifying prominent articles, authors and journals being referenced to by the citing authors. It identifies co-cited references that occur in the reference list of two or more citing articles, with the resultant co-citation network providing insights into the constituents of a knowledge domain (e.g., significant authors and papers). The contribution of the paper is twofold; (a) the demonstration of the added value of using co-citation analysis, and for this purpose the underlying dataset that is chosen is the peer-reviewed publication of the Society for Modeling and Simulation International (SCS)—SIMULATION; (b) the year 2012 being the 60th anniversary of the SCS, the authors hope that this paper will lead to further acknowledgement and appreciation of the Society in charting the growth of Modeling and Simulation (M&S) as a discipline.

Suggested Citation

  • Navonil Mustafee & Korina Katsaliaki & Paul Fishwick, 2014. "Exploring the modelling and simulation knowledge base through journal co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2145-2159, March.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1136-z
    DOI: 10.1007/s11192-013-1136-z
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    References listed on IDEAS

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    Cited by:

    1. Navonil Mustafee & Korina Katsaliaki & Thibaut Le Forsonney & Saikou Diallio, 2018. "Profile of modeling and simulation research published in the Journal of Defense Modeling and Simulation," The Journal of Defense Modeling and Simulation, , vol. 15(3), pages 337-349, July.
    2. Ping Liu & Qiong Wu & Xiangming Mu & Kaipeng Yu & Yiting Guo, 2015. "Detecting the intellectual structure of library and information science based on formal concept analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 737-762, September.
    3. Xiyun Gong & Choy Leong Yee & Shin Yiing Lee & Ethan Yi Cao & Abu Naser Mohammad Saif, 2024. "Knowledge mapping of impulsive buying behavior research: a visual analysis using CiteSpace," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    4. Anna Małgorzata Kamińska & Łukasz Opaliński & Łukasz Wyciślik, 2024. "The Landscapes of Sustainability in Library and Information Science: Diachronous Citation Perspective," Sustainability, MDPI, vol. 16(21), pages 1-28, November.
    5. Saikou Y. Diallo & Ross J. Gore & Jose J. Padilla & Christopher J. Lynch, 2015. "An overview of modeling and simulation using content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 977-1002, June.
    6. Shaojie Qi & Fengrui Hua & Zheng Zhou & Daniel T. L. Shek, 2022. "Trends of Positive Youth Development Publications (1995–2020): A Scientometric Review," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(1), pages 421-446, February.
    7. Hui Yang & Xuexin Shao & Ming Wu, 2019. "A Review on Ecosystem Health Research: A Visualization Based on CiteSpace," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    8. Anirudh Venkatarman & A. Dunstan Rajkumar, 2024. "Cross-Sectioning Sustainable Supply Chain Governance: A Bibliometric Analysis," International Review of Management and Marketing, Econjournals, vol. 14(3), pages 34-46, May.

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