, Volume 98, Issue 3, pp 2145–2159 | Cite as

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

  • Navonil MustafeeEmail author
  • Korina Katsaliaki
  • Paul Fishwick


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.


Modelling and Simulation (M&S) Co-citation analysis Simulation research Society for Modeling and Simulation International SIMULATION: Transactions of the Society for Modeling and Simulation International 


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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2013

Authors and Affiliations

  • Navonil Mustafee
    • 1
    Email author
  • Korina Katsaliaki
    • 2
  • Paul Fishwick
    • 3
  1. 1.Centre for Innovation and Service ResearchUniversity of Exeter Business SchoolExeterUK
  2. 2.School of Economics and Business AdministrationInternational Hellenic UniversityThessaloníkiGreece
  3. 3.Arts and Technology Program, AT10The University of Texas at DallasRichardsonUSA

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