Perry, Motty and Reny, Philip J. (2016) How to count citations if you must. American Economic Review, 106 (9). pp. 2722-2741. doi:10.1257/aer.20140850

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Abstract

Citation indices are regularly used to inform critical decisions about promotion, tenure, and the allocation of billions of research dollars. Nevertheless, most indices (e.g., the h-index) are motivated by intuition and rules of thumb, resulting in undesirable conclusions. In contrast, five natural properties lead us to a unique new index, the Euclidean index, that avoids several shortcomings of the h-index and its successors. The Euclidean index is simply the Euclidean length of an individual's citation list. Two empirical tests suggest that the Euclidean index outperforms the h-index in practice.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions:	Faculty of Social Sciences > Economics
Library of Congress Subject Headings (LCSH):	Bibliographical citations, Euclidean algorithm
Journal or Publication Title:	American Economic Review
Publisher:	American Economic Association
ISSN:	0002-8282
Official Date:	September 2016
Dates:	Date Event September 2016 Published 9 September 2016 Accepted
Date of first compliant deposit:	11 October 2016
Volume:	106
Number:	9
Number of Pages:	20
Page Range:	pp. 2722-2741
DOI:	10.1257/aer.20140850
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	Israel Science Foundation (ISF), National Science Foundation (U.S.) (NSF)
Grant number:	SES- 0922535 (NSF), SES-1227506 (NSF)

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