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Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level

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  • A. I. M. Jakaria Rahman

    (University of Antwerp)

  • Raf Guns

    (University of Antwerp)

  • Loet Leydesdorff

    (University of Amsterdam)

  • Tim C. E. Engels

    (University of Antwerp
    Antwerp Maritime Academy)

Abstract

When research groups are evaluated by an expert panel, it is an open question how one can determine the match between panel and research groups. In this paper, we outline two quantitative approaches that determine the cognitive distance between evaluators and evaluees, based on the journals they have published in. We use example data from four research evaluations carried out between 2009 and 2014 at the University of Antwerp. While the barycenter approach is based on a journal map, the similarity-adapted publication vector (SAPV) approach is based on the full journal similarity matrix. Both approaches determine an entity’s profile based on the journals in which it has published. Subsequently, we determine the Euclidean distance between the barycenter or SAPV profiles of two entities as an indicator of the cognitive distance between them. Using a bootstrapping approach, we determine confidence intervals for these distances. As such, the present article constitutes a refinement of a previous proposal that operates on the level of Web of Science subject categories.

Suggested Citation

  • A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:3:d:10.1007_s11192-016-2132-x
    DOI: 10.1007/s11192-016-2132-x
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    1. Rousseau, Ronald & Guns, Raf & Rahman, A.I.M. Jakaria & Engels, Tim C.E., 2017. "Measuring cognitive distance between publication portfolios," Journal of Informetrics, Elsevier, vol. 11(2), pages 583-594.

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