A quantitative analysis of indicators of scientific performance

被引：79

作者：

Lehmann, Sune ^{[1
,2
]}

Jackson, Andrew D. ^{[3
]}

Lautrup, Benny E. ^{[3
]}

机构：

[1] Northeastern Univ, Dept Phys, Ctr Complex Network Res, Boston, MA 02115 USA

[2] Harvard Univ, Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA

[3] Niels Bohr Inst, DK-2100 Copenhagen, Denmark

来源：

SCIENTOMETRICS | 2008年 / 76卷 / 02期

关键词：

D O I：

10.1007/s11192-007-1868-8

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：369 / 390

页数：22

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