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Network analysis of temporal trends in scholarly research productivity

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  • Kim, Hyoungshick
  • Yoon, Ji Won
  • Crowcroft, Jon

Abstract

We propose a method to identify the journals or proceedings that are most highly esteemed by a research group over some time frame. Using open publication databases, we identify the experts in the community, and analyse their publication pattern, and then use this as a guideline for evaluating scientific outputs of other groups of researchers publishing in the same domain. To illustrate the practicality of our method, we analyse the scientific output of Korean researchers in the security subject domain from 2004 to 2009, and comparing this groups’ output with that of well-known researchers. Our empirical analysis demonstrates that there is a persistent gap between these two research groups’ publications impact over this period, although the absolute number of journal publications greatly increased over recent years.

Suggested Citation

  • Kim, Hyoungshick & Yoon, Ji Won & Crowcroft, Jon, 2012. "Network analysis of temporal trends in scholarly research productivity," Journal of Informetrics, Elsevier, vol. 6(1), pages 97-110.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:1:p:97-110
    DOI: 10.1016/j.joi.2011.05.006
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    References listed on IDEAS

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    1. Jacques Wainer & Eduardo C. Xavier & Fabio Bezerra, 2009. "Scientific production in Computer Science: A comparative study of Brazil and other countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 535-547, November.
    2. Almeida, J.A.S. & Pais, A.A.C.C. & Formosinho, S.J., 2009. "Science indicators and science patterns in Europe," Journal of Informetrics, Elsevier, vol. 3(2), pages 134-142.
    3. Woo Hyoung Lee, 2008. "How to identify emerging research fields using scientometrics: An example in the field of Information Security," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 503-525, September.
    4. Steven A. Morris, 2005. "Manifestation of emerging specialties in journal literature: A growth model of papers, references, exemplars, bibliographic coupling, cocitation, and clustering coefficient distribution," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(12), pages 1250-1273, October.
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    Cited by:

    1. Gerhard A. Wuehrer & Angela Elisabeth Smejkal, 2013. "The knowledge domain of the academy of international business studies (AIB) conferences: a longitudinal scientometric perspective for the years 2006–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 541-561, May.
    2. Jabłońska-Sabuka, Matylda & Sitarz, Robert & Kraslawski, Andrzej, 2014. "Forecasting research trends using population dynamics model with Burgers’ type interaction," Journal of Informetrics, Elsevier, vol. 8(1), pages 111-122.

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