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

Navonil Mustafee (), Korina Katsaliaki () and Paul Fishwick ()
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Navonil Mustafee: University of Exeter Business School
Korina Katsaliaki: International Hellenic University
Paul Fishwick: The University of Texas at Dallas

Scientometrics, 2014, vol. 98, issue 3, No 35, 2145-2159

Abstract: 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.

Keywords: 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 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s11192-013-1136-z

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