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Peer review versus bibliometrics: Which method better predicts the scholarly impact of publications?

Author

Listed:
  • Giovanni Abramo

    (National Research Council)

  • Ciriaco Andrea D’Angelo

    (University of Rome “Tor Vergata”)

  • Emanuela Reale

    (National Research Council)

Abstract

In this work, we try to answer the question of which method, peer review versus bibliometrics, better predicts the future overall scholarly impact of scientific publications. We measure the agreement between peer review evaluations of Web of Science indexed publications submitted to the first Italian research assessment exercise and long-term citations of the same publications. We do the same for an early citation-based indicator. We find that the latter shows stronger predictive power, i.e. it more reliably predicts late citations in all the disciplinary areas examined, and for any citation time window starting 1 year after publication.

Suggested Citation

  • Giovanni Abramo & Ciriaco Andrea D’Angelo & Emanuela Reale, 2019. "Peer review versus bibliometrics: Which method better predicts the scholarly impact of publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 537-554, October.
  • Handle: RePEc:spr:scient:v:121:y:2019:i:1:d:10.1007_s11192-019-03184-y
    DOI: 10.1007/s11192-019-03184-y
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    1. P. Pichappan & S. Sarasvady, 2002. "The other side of the coin: The intricacies of author self-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 285-290, June.
    2. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "The dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems," Journal of Informetrics, Elsevier, vol. 6(2), pages 155-168.
    3. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2016. "Refrain from adopting the combination of citation and journal metrics to grade publications, as used in the Italian national research assessment exercise (VQR 2011–2014)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2053-2065, December.
    4. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    5. Emanuela Reale & Antonio Zinilli, 2017. "Evaluation for the allocation of university research project funding: Can rules improve the peer review?," Research Evaluation, Oxford University Press, vol. 26(3), pages 190-198.
    6. 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.
    7. Elizabeth S Vieira & José A N F Gomes, 2018. "The peer-review process: The most valued dimensions according to the researcher’s scientific career," Research Evaluation, Oxford University Press, vol. 27(3), pages 246-261.
    8. Martin, Ben R. & Irvine, John, 1993. "Assessing basic research : Some partial indicators of scientific progress in radio astronomy," Research Policy, Elsevier, vol. 22(2), pages 106-106, April.
    9. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Felici, Giovanni, 2019. "Predicting publication long-term impact through a combination of early citations and journal impact factor," Journal of Informetrics, Elsevier, vol. 13(1), pages 32-49.
    10. 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.
    11. Anthony F. J. van Raan, 2004. "Sleeping Beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 467-472, March.
    12. Rinia, E. J. & van Leeuwen, Th. N. & van Vuren, H. G. & van Raan, A. F. J., 1998. "Comparative analysis of a set of bibliometric indicators and central peer review criteria: Evaluation of condensed matter physics in the Netherlands," Research Policy, Elsevier, vol. 27(1), pages 95-107, May.
    13. 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.
    14. Alberto Baccini & Giuseppe De Nicolao, 2016. "Do they agree? Bibliometric evaluation versus informed peer review in the Italian research assessment exercise," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1651-1671, September.
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo & Francesco Rosati, 2015. "The determinants of academic career advancement: Evidence from Italy," Science and Public Policy, Oxford University Press, vol. 42(6), pages 761-774.
    16. Emanuela Reale & Anna Barbara & Antonio Costantini, 2007. "Peer review for the evaluation of academic research: lessons from the Italian experience," Research Evaluation, Oxford University Press, vol. 16(3), pages 216-228, September.
    17. Giovanni Abramo & Tindaro Cicero & Ciriaco Andrea D’Angelo, 2013. "National peer-review research assessment exercises for the hard sciences can be a complete waste of money: the Italian case," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 311-324, April.
    18. Elizabeth S. Vieira & José A.S. Cabral & José A.N.F. Gomes, 2014. "Definition of a model based on bibliometric indicators for assessing applicants to academic positions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(3), pages 560-577, March.
    19. Vieira, Elizabeth S. & Cabral, José A.S. & Gomes, José A.N.F., 2014. "How good is a model based on bibliometric indicators in predicting the final decisions made by peers?," Journal of Informetrics, Elsevier, vol. 8(2), pages 390-405.
    20. Drahomira Herrmannova & Robert M. Patton & Petr Knoth & Christopher G. Stahl, 2018. "Do citations and readership identify seminal publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 239-262, April.
    21. Lokman I. Meho & Diane H. Sonnenwald, 2000. "Citation ranking versus peer evaluation of senior faculty research performance: A case study of Kurdish scholarship," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(2), pages 123-138.
    22. Bornmann, Lutz & Leydesdorff, Loet, 2013. "The validation of (advanced) bibliometric indicators through peer assessments: A comparative study using data from InCites and F1000," Journal of Informetrics, Elsevier, vol. 7(2), pages 286-291.
    23. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2011. "National research assessment exercises: a comparison of peer review and bibliometrics rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 929-941, December.
    24. Kulczycki, Emanuel & Korzeń, Marcin & Korytkowski, Przemysław, 2017. "Toward an excellence-based research funding system: Evidence from Poland," Journal of Informetrics, Elsevier, vol. 11(1), pages 282-298.
    25. V. A. Traag & L. Waltman, 2019. "Systematic analysis of agreement between metrics and peer review in the UK REF," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-12, December.
    26. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    27. Franceschet, Massimo & Costantini, Antonio, 2011. "The first Italian research assessment exercise: A bibliometric perspective," Journal of Informetrics, Elsevier, vol. 5(2), pages 275-291.
    28. Lutz Bornmann & Hans-Dieter Daniel, 2005. "Does the h-index for ranking of scientists really work?," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(3), pages 391-392, December.
    29. Dag W Aksnes & Randi Elisabeth Taxt, 2004. "Peer reviews and bibliometric indicators: a comparative study at a Norwegian university," Research Evaluation, Oxford University Press, vol. 13(1), pages 33-41, April.
    30. Abramo, Giovanni, 2018. "Revisiting the scientometric conceptualization of impact and its measurement," Journal of Informetrics, Elsevier, vol. 12(3), pages 590-597.
    31. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2011. "Assessing the varying level of impact measurement accuracy as a function of the citation window length," Journal of Informetrics, Elsevier, vol. 5(4), pages 659-667.
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