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Prediction of UK research excellence framework assessment by the departmental h-index

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  • Basso, Antonella
  • di Tollo, Giacomo

Abstract

This paper proposes a new approach to study the outcomes of the research evaluation of departmental structures and to predict the results of the next research evaluation exercise.

Suggested Citation

  • Basso, Antonella & di Tollo, Giacomo, 2022. "Prediction of UK research excellence framework assessment by the departmental h-index," European Journal of Operational Research, Elsevier, vol. 296(3), pages 1036-1049.
    • Handle: RePEc:eee:ejores:v:296:y:2022:i:3:p:1036-1049
    DOI: 10.1016/j.ejor.2021.05.006
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    References listed on IDEAS

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    1. Mehmet Pinar & Emre Unlu, 2020. "Determinants of quality of research environment: An assessment of the environment submissions in the UK’s Research Excellence Framework in 2014," Research Evaluation, Oxford University Press, vol. 29(3), pages 231-244.
    2. Matthias Krapf, 2015. "Age and complementarity in scientific collaboration," Empirical Economics, Springer, vol. 49(2), pages 751-781, September.
    3. 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.
    4. Benjamin F. Jones, 2010. "Age and Great Invention," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 1-14, February.
    5. Daniel S. Hamermesh, 2013. "Six Decades of Top Economics Publishing: Who and How?," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 162-172, March.
    6. Wu, Jiang & Lozano, Sergi & Helbing, Dirk, 2011. "Empirical study of the growth dynamics in real career h-index sequences," Journal of Informetrics, Elsevier, vol. 5(4), pages 489-497.
    7. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    8. Sofronis Clerides & Panos Pashardes & Alexandros Polycarpou, 2011. "Peer Review vs Metric‐based Assessment: Testing for Bias in the RAE Ratings of UK Economics Departments," Economica, London School of Economics and Political Science, vol. 78(311), pages 565-583, July.
    9. Burrell, Quentin L., 2007. "Hirsch's h-index: A stochastic model," Journal of Informetrics, Elsevier, vol. 1(1), pages 16-25.
    10. Raf Guns & Ronald Rousseau, 2009. "Simulating growth of the h‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 410-417, February.
    11. Stephan B. Bruns & David I. Stern, 2016. "Research assessment using early citation information," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 917-935, August.
    12. 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.
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