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

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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.

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Authors and Affiliations

  1. Centre for Innovation and Service Research, University of Exeter Business School, Building: One, Rennes Drive, Exeter, EX4 4ST, UK

    Navonil Mustafee

  2. School of Economics and Business Administration, International Hellenic University, Thessaloníki, Greece

    Korina Katsaliaki

  3. Arts and Technology Program, AT10, The University of Texas at Dallas, 800 West Campbell Rd., Richardson, 75080-3021, TX, USA

    Paul Fishwick

Authors
  1. Navonil Mustafee
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  2. Korina Katsaliaki
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  3. Paul Fishwick
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Correspondence to Navonil Mustafee.

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Mustafee, N., Katsaliaki, K. & Fishwick, P. Exploring the modelling and simulation knowledge base through journal co-citation analysis. Scientometrics 98, 2145–2159 (2014). https://doi.org/10.1007/s11192-013-1136-z

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