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Measuring cognitive distance between publication portfolios

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  • Rousseau, Ronald
  • Guns, Raf
  • Rahman, A.I.M. Jakaria
  • Engels, Tim C.E.

Abstract

We study the problem of determining the cognitive distance between the publication portfolios of two units. In this article we provide a systematic overview of five different methods (a benchmark Euclidean distance approach, distance between barycenters in two and in three dimensions, distance between similarity-adapted publication vectors, and weighted cosine similarity) to determine cognitive distances using publication records. We present a theoretical comparison as well as a small empirical case study. Results of this case study are not conclusive, but we have, mainly on logical grounds, a small preference for the method based on similarity-adapted publication vectors.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:infome:v:11:y:2017:i:2:p:583-594
    DOI: 10.1016/j.joi.2017.03.001
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    References listed on IDEAS

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    1. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    2. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
    3. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.
    4. Rahman, A.I.M. Jakaria & Guns, Raf & Rousseau, Ronald & Engels, Tim C.E., 2015. "Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters," Journal of Informetrics, Elsevier, vol. 9(4), pages 704-721.
    5. Loet Leydesdorff & Ismael Rafols, 2009. "A global map of science based on the ISI subject categories," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 348-362, February.
    6. Bart Nooteboom, 2000. "Learning by Interaction: Absorptive Capacity, Cognitive Distance and Governance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 4(1), pages 69-92, March.
    7. 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.
    8. Qi Wang & Ulf Sandström, 2015. "Defining the role of cognitive distance in the peer review process with an explorative study of a grant scheme in infection biology," Research Evaluation, Oxford University Press, vol. 24(3), pages 271-281.
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    Cited by:

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    3. Ali Sina Önder & Sascha Schweitzer & Hakan Yilmazkuday, 2021. "Field Distance and Quality in Economists’ Collaborations," Working Papers in Economics & Finance 2021-04, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    4. Önder, Ali & Torgler, Benno & Lariviere, Vincent & Moy, Naomi & Chan, Ho Fai & Schilling, Donata, 2022. "Science after Communism: Structural Change, Peers, and Productivity in East German Science," VfS Annual Conference 2022 (Basel): Big Data in Economics 264021, Verein für Socialpolitik / German Economic Association.

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