Scientometrics

, Volume 72, Issue 3, pp 469–486

Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?

  • Iina Hellsten
  • Renaud Lambiotte
  • Andrea Scharnhorst
  • Marcel Ausloos
Open AccessArticle

DOI: 10.1007/s11192-007-1680-5

Cite this article as:
Hellsten, I., Lambiotte, R., Scharnhorst, A. et al. Scientometrics (2007) 72: 469. doi:10.1007/s11192-007-1680-5
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Abstract

This paper introduces a new approach to detecting scientists’ field mobility by focusing on an author’s self-citation network, and the co-authorships and keywords in self-citing articles. Contrary to much previous literature on self-citations, we will show that author’s self-citation patterns reveal important information on the development and emergence of new research topics over time. More specifically, we will discuss self-citations as a means to detect scientists’ field mobility. We introduce a network based definition of field mobility, using the Optimal Percolation Method (Lambiotte & Ausloos, 2005; 2006). The results of the study can be extended to selfcitation networks of groups of authors and, generally also for other types of networks.

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© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Iina Hellsten
    • 1
  • Renaud Lambiotte
    • 2
  • Andrea Scharnhorst
    • 1
  • Marcel Ausloos
    • 2
  1. 1.The Virtual Knowledge Studio for the Humanities and Social Sciences at the Royal Netherlands Academy of Arts and SciencesVKS-KNAWAmsterdamThe Netherlands
  2. 2.SUPRATECSUniversité de LiègeLiègeBelgium