A quantitative analysis of indicators of scientific performance

Sune Lehmann Jørgensen, Andrew D. Jackson, Benny E. Lautrup

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Condensing the work of any academic scientist into a one-dimensional indicator of scientific performance is a difficult problem. Here, we employ Bayesian statistics to analyze several different indicators of scientific performance. Specifically, we determine each indicator’s ability to discriminate between scientific authors. Using scaling arguments, we demonstrate that the best of these indicators require approximately 50 papers to draw conclusions regarding long term scientific performance with usefully small statistical uncertainties. Further, the approach described here permits statistical comparison of scientists working in distinct areas of science.
Original languageEnglish
JournalScientometrics
Volume76
Issue number2
Pages (from-to)369-390
ISSN0138-9130
DOIs
Publication statusPublished - 2008
Externally publishedYes

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