The bibliometric indicators as predictors of the final decision of the peer review

Elizabeth S. Vieira and José A.N.F. Gomes

Research Evaluation, 2016, vol. 25, issue 2, 170-183

Abstract: Peer review of candidates' proposals for research position is generally used as the best method available to select the most promising researchers, but it is very costly and has its limitations. This article analyzes to what extent bibliometric indicators can predict the results of the peer review exercise using the example of a particular selection process. Two composite indicators are found to be strongly correlated with peer review-based decisions. We calculated that the probability of the estimated prediction, as determined by the composite indicators, for a selected applicant to be higher than the estimated prediction determined for a rejected applicant is about 75%.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:oup:rseval:v:25:y:2016:i:2:p:170-183.

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