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Research assessment using early citation information

Listed author(s):
  • Stephan B. Bruns

    ()

    (University of Kassel)

  • David I. Stern

    ()

    (The Australian National University)

Abstract Peer-review based research assessment, as implemented in Australia, the United Kingdom, and some other countries, is a very costly exercise. We show that university rankings in economics based on long-run citation counts can be easily predicted using early citations. This would allow a research assessment to predict the relative long-run impact of articles published by a university immediately at the end of the evaluation period. We compare these citation-based university rankings with the rankings of the 2010 Excellence in Research assessment in Australia and the 2008 Research Assessment Exercise in the United Kingdom. Rank correlations are quite strong, but there are some differences between rankings. However, if assessors are willing to consider citation analysis to assess some disciplines, as is the case for the natural sciences and psychology in Australia, it seems reasonable to consider also including economics in that set.

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File URL: http://link.springer.com/10.1007/s11192-016-1979-1
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Article provided by Springer & Akadémiai Kiadó in its journal Scientometrics.

Volume (Year): 108 (2016)
Issue (Month): 2 (August)
Pages: 917-935

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Handle: RePEc:spr:scient:v:108:y:2016:i:2:d:10.1007_s11192-016-1979-1
DOI: 10.1007/s11192-016-1979-1
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Web page: http://akkrt.hu/

Order Information: Web: http://www.springer.com/economics/journal/11192

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  1. 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, 07.
  2. Bertocchi, Graziella & Gambardella, Alfonso & Jappelli, Tullio & Nappi, Carmela A. & Peracchi, Franco, 2015. "Bibliometric evaluation vs. informed peer review: Evidence from Italy," Research Policy, Elsevier, vol. 44(2), pages 451-466.
  3. David L. Anderson & John Tressler, 2013. "The New Zealand performance-based research fund and its impact on publication activity in economics," Research Evaluation, Oxford University Press, vol. 23(1), pages 1-11, September.
  4. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  5. Daniel Sgroi & Andrew J. Oswald, 2013. "How Should Peer‐review Panels Behave?," Economic Journal, Royal Economic Society, vol. 0, pages 255-278, 08.
  6. repec:esx:essedp:757 is not listed on IDEAS
  7. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
  8. David I. Stern, 2014. "High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information," Crawford School Research Papers 1406, Crawford School of Public Policy, The Australian National University.
  9. John Hudson, 2013. "Ranking Journals," Economic Journal, Royal Economic Society, vol. 0, pages 202-222, 08.
  10. R�gibeau, P & Rockett, K, 2014. "A Tale of Two Metrics: Research Assessment vs Recognised Excellence," Economics Discussion Papers 14461, University of Essex, Department of Economics.
  11. Ludo Waltman & Clara Calero-Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan Eck & Thed N. Leeuwen & Anthony F.J. Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
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