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Comparison of a citation-based indicator and peer review for absolute and specific measures of research-group excellence

Author

Listed:
  • O. Mryglod

    (Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine)

  • R. Kenna

    (Coventry University)

  • Yu. Holovatch

    (Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine)

  • B. Berche

    (Université de Lorraine, Campus de Nancy)

Abstract

Many different measures are used to assess academic research excellence and these are subject to ongoing discussion and debate within the scientometric, university-management and policy-making communities internationally. One topic of continued importance is the extent to which citation-based indicators compare with peer-review-based evaluation. Here we analyse the correlations between values of a particular citation-based impact indicator and peer-review scores in several academic disciplines, from natural to social sciences and humanities. We perform the comparison for research groups rather than for individuals. We make comparisons on two levels. At an absolute level, we compare total impact and overall strength of the group as a whole. At a specific level, we compare academic impact and quality, normalised by the size of the group. We find very high correlations at the former level for some disciplines and poor correlations at the latter level for all disciplines. This means that, although the citation-based scores could help to describe research-group strength, in particular for the so-called hard sciences, they should not be used as a proxy for ranking or comparison of research groups. Moreover, the correlation between peer-evaluated and citation-based scores is weaker for soft sciences.

Suggested Citation

  • O. Mryglod & R. Kenna & Yu. Holovatch & B. Berche, 2013. "Comparison of a citation-based indicator and peer review for absolute and specific measures of research-group excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 767-777, December.
    • Handle: RePEc:spr:scient:v:97:y:2013:i:3:d:10.1007_s11192-013-1058-9
    DOI: 10.1007/s11192-013-1058-9
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    References listed on IDEAS

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    3. Stephan B. Bruns & David I. Stern, 2016. "Research assessment using early citation information," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 917-935, August.
    4. R. Álvarez & E. Cahué & J. Clemente-Gallardo & A. Ferrer & D. Íñiguez & X. Mellado & A. Rivero & G. Ruiz & F. Sanz & E. Serrano & A. Tarancón & Y. Vergara, 2015. "Analysis of academic productivity based on Complex Networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 651-672, September.
    5. Paul Benneworth, 2015. "Between certainty and comprehensiveness in evaluating the societal impact of humanities research," CHEPS Working Papers 201502, University of Twente, Center for Higher Education Policy Studies (CHEPS).
    6. Weixi Xie & Pengfei Jia & Guangyao Zhang & Xianwen Wang, 2024. "Are reviewer scores consistent with citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4721-4740, August.
    7. Uddin, Shahadat & Khan, Arif, 2016. "The impact of author-selected keywords on citation counts," Journal of Informetrics, Elsevier, vol. 10(4), pages 1166-1177.
    8. O. Mryglod & R. Kenna & Yu. Holovatch & B. Berche, 2015. "Predicting results of the research excellence framework using departmental h-index: revisited," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 1013-1017, September.
    9. O. Mryglod & R. Kenna & Yu. Holovatch & B. Berche, 2015. "Predicting results of the Research Excellence Framework using departmental h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2165-2180, March.
    10. Hana Tomaskova & Martin Kopecky, 2020. "Specialization of Business Process Model and Notation Applications in Medicine—A Review," Data, MDPI, vol. 5(4), pages 1-42, October.
    11. Liyin Zhang & Yuchen Qian & Chao Ma & Jiang Li, 2023. "Continued collaboration shortens the transition period of scientists who move to another institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1765-1784, March.
    12. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.

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