Skip to main content

A Review of Extant M&S Literature Through Journal Profiling and Co-citation Analysis

  • Chapter

Part of the book series: Simulation Foundations, Methods and Applications ((SFMA))

Abstract

This chapter presents a strategy to initiate the profiling of M&S discipline and profession and its developments through the documentation of M&S publications in the journal of SIMULATION by geographic locations, university departments, and publishing outlets. Moreover, the study classifies M&S publications in terms of techniques, application areas, and their context in a relevant way with the second and third part of the body of knowledge, which defines the M&S core areas and supporting domains. Furthermore, this chapter provides a network analysis of the M&S publication relationships to the other subdisciplines in line with the purpose of the updated M&S index to identify synergies among M&S and other disciplines.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Bair LJ, Jackson JJ (2013) M&S professionals domains, skills, knowledge, and applications. In: Proceedings of the The Interservice/Industry training, simulation & education conference (I/ITSEC), vol 2013, no 1. Orlando, Florida. National Training Systems Association (NTSA)

    Google Scholar 

  • Chen C (2004) Searching for intellectual turning points: progressive knowledge domain visualization. Proc Natl Acad Sci 101(Suppl 1):5303–5310

    Article  Google Scholar 

  • Chen C, Ibekwe-Sanjuan F, Hou J (2010) The structure and dynamics of co-citation clusters: a multiple-perspective co-citation analysis. J Am Soc Info Sci Tech 61(7):1386–1409

    Article  Google Scholar 

  • De Boer P-T (2006) Analysis of state-independent importance-sampling measures for the two-node tandem queue. ACM Trans Model Comp Simulat 16(3):225–250

    Article  Google Scholar 

  • Dupuis P, Sezer AD, Wang H (2007) Dynamic importance sampling for queueing networks. Ann Appl Probab 17(4):1306–1346

    Article  MATH  MathSciNet  Google Scholar 

  • Fishwick PA (1992) An integrated approach to system modeling using a synthesis of artificial intelligence, software engineering and simulation methodologies. ACM Trans Model Comp Simulat 2(4):307–330

    Article  MATH  Google Scholar 

  • Fishwick PA (2014) Computing as model-based empirical science. In: Proceedings of the second ACM SIGSIM/PADS conference on principles of advanced discrete simulation (SIGSIM-PADS’14), Denver, Colorado. ACM, pp 205–212

    Google Scholar 

  • Glasserman P, Kou SG (1995) Analysis of an importance sampling estimator for tandem queues. ACM Trans Model Comp Simulat 5(1):22–42

    Article  MATH  MathSciNet  Google Scholar 

  • Kroese DP, Nicola VF (2002) Efficient simulation of a tandem Jackson network. ACM Trans Model Comp Simulat 12(2):119–141

    Article  Google Scholar 

  • Mustafee N (2011) Evolution of IS research based on literature published in two leading IS journals – EJIS and MISQ. In: Proceedings of the nineteenth European conference on information systems (ECIS 2011), Helsinki, Finland. Paper 228, Association for Information Systems

    Google Scholar 

  • Mustafee N, Katsaliaki K, Fishwick P, Williams MD (2012) SCS – 60 years and counting! A time to reflect on the society’s scholarly contribution to M&S from the turn of the millennium. Simulation 88(9):1047–1071

    Article  Google Scholar 

  • Mustafee N, Katsaliaki K, Fishwick P (2014) Exploring the modelling & simulation knowledgebase through journal co-citation analysis. Scientometrics 98(3):2145–2159

    Article  Google Scholar 

  • Oren T (2009) Modeling and simulation: a comprehensive and integrative view. In: Yilmaz L, Oren T (eds) Agent-directed simulation and systems engineering. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

    Google Scholar 

  • Ören T (2010) Simulation and reality: the big picture. Int J Model Simulat Sci Comput 1(01):1–25

    Article  Google Scholar 

  • Ören T (2011a) A basis for a modeling and simulation body of knowledge index: professionalism, stakeholders, big picture, and other BoKs. SCS M&S Mag 2(1):40–48

    Google Scholar 

  • Ören T (2011b) A critical review of definitions and about 400 types of modeling and simulation. SCS M&S Mag 2(3):142–151

    Google Scholar 

  • Ören T (2011c) The many facets of simulation through a collection of about 100 definitions. SCS M&S Mag 2(2):82–92

    Google Scholar 

  • Ören T (2002) Future of modelling and simulation: some development areas. In: Proceedings of the 2002 summer computer simulation conference, San Diego, CA. Society for Computer Simulation, pp 3–8

    Google Scholar 

  • Ören T (2005) Maturing phase of the modeling and simulation discipline. In: Proceedings of the 2005 ASC-Asian simulation conference, Beijing, P.R. China. pp 24–27

    Google Scholar 

  • Ören T (2012) The richness of modeling and simulation and its body of knowledge. In: Proceedings of the 2012 international conference on simulation and modeling methodologies, technologies and applications, Rome, Italy

    Google Scholar 

  • Ören T (2013) Modeling and simulation body of knowledge (M&S BoK) – index. http://www.site.uottawa.ca/~oren/MSBOK/MSBOK-index.pdf. Last accessed Sept 2014

  • Ören T, Waite B (2010) Modeling and simulation body of knowledge index: an invitation for the final phases of its preparation. SCS M&S Mag 1(4):1–5

    Google Scholar 

  • Parekh S (1989) A quick simulation method for excessive backlogs in networks of queues. IEEE Trans Automat Control 34(1):54–66

    Article  MATH  MathSciNet  Google Scholar 

  • Raghuram S, Tuertscher P, Garud R (2009) Mapping the field of virtual work: a co-citation analysis. Info Syst Res 21(4):983–999

    Article  Google Scholar 

  • SCS (2014) Simulation: mission & scope. Society for modeling & simulation international. http://www.scs.org/simulation?q=node/90. Last accessed Sept 2014

  • Tolk A (2010) Engineering management challenges for applying simulation as a green technology. In: Proceedings of the thirty first annual national conference of the American Society for Engineering Management (ASEM), Fayetteville, Arkansas. pp 137–147

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Navonil Mustafee .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Mustafee, N., Katsaliaki, K., Fishwick, P. (2015). A Review of Extant M&S Literature Through Journal Profiling and Co-citation Analysis. In: Yilmaz, L. (eds) Concepts and Methodologies for Modeling and Simulation. Simulation Foundations, Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-15096-3_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-15096-3_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15095-6

  • Online ISBN: 978-3-319-15096-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics