Statistical Science

Comment: Citation Statistics

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

Source: Statist. Sci. Volume 24, Number 1 (2009), 17-20.

Abstract

We discuss the paper “Citation Statistics” by the Joint Committee on Quantitative Assessment of Research. In particular, we focus on a necessary feature of “good” measures for ranking scientific authors: that good measures must able to accurately distinguish between authors.

Keywords: Citations; ranking

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.ss/1255009004
Digital Object Identifier: doi:10.1214/09-STS285B

References

[1] Lehmann, S., Jackson, A. D. and Lautrup, B. E. (2006). Measures for measures. Nature 444 1003.
[2] Lehmann, S., Jackson, A. D. and Lautrup, B. E. (2008). A quantitative analysis of indicators of scientific performance. Scientometrics 76 369.
[3] Lehmann, S., Lautrup, B. E. and Jackson, A. D. (2003). Citation networks in high energy physics. Phys. Rev. E 68 026113.
[4] Redner, S. (1998). How popular is your paper? An empirical study of the citation distribution. European Physics Journal B 4 131.
[5] Garfield, E. (1977). Introducing citation classics: The human side of scientific papers. Current Contents 1 1.
[6] Hirsch, J. E. (2005). An index to quantify an individual’s scientific output. Proc. Natl. Acad. Sci. 102 16569.
[7] Thompson Scientific. Web of science, Address retrieved October 2008. http://scientific.thomson.com/products/wos/.

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