Literature DB >> 26888302

The Interdisciplinarity of Collaborations in Cognitive Science.

Till Bergmann1, Rick Dale1, Negin Sattari2, Evan Heit1, Harish S Bhat3.   

Abstract

We introduce a new metric for interdisciplinarity, based on co-author publication history. A published article that has co-authors with quite different publication histories can be deemed relatively "interdisciplinary," in that the article reflects a convergence of previous research in distinct sets of publication outlets. In recent work, we have shown that this interdisciplinarity metric can predict citations. Here, we show that the journal Cognitive Science tends to contain collaborations that are relatively high on this interdisciplinarity metric, at about the 80th percentile of all journals across both social and natural sciences. Following on Goldstone and Leydesdorff (2006), we describe how scientometric tools provide a valuable means of assessing the role of cognitive science in broader scientific work, and also as a tool to investigate teamwork and distributed cognition. We describe how data-driven metrics of this kind may facilitate this exploration without relying upon rapidly changing discipline and topic keywords associated with publications.
Copyright © 2016 Cognitive Science Society, Inc.

Keywords:  Big data; Interdisciplinarity; Jensen-Shannon divergence; Publication history; Scientometrics

Mesh:

Year:  2016        PMID: 26888302     DOI: 10.1111/cogs.12352

Source DB:  PubMed          Journal:  Cogn Sci        ISSN: 0364-0213


  2 in total

1.  Approaches to Measuring Trends in Interdisciplinary Research Publications at One Academic Medical Center.

Authors:  Christine M Weston; Mia S Terkowitz; Carol B Thompson; Daniel E Ford
Journal:  Acad Med       Date:  2020-04       Impact factor: 6.893

2.  How Multidisciplinary Are the Multidisciplinary Journals Science and Nature?

Authors:  Gregg E A Solomon; Stephen Carley; Alan L Porter
Journal:  PLoS One       Date:  2016-04-04       Impact factor: 3.240

  2 in total

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