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How to count citations if you must

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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 ISSN 0002-8282.

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Official URL: http://dx.doi.org/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:
DateEvent
September 2016Published
9 September 2016Accepted
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
Date of first compliant deposit: 11 October 2016
Date of first compliant Open Access: 11 October 2016
Funder: Israel Science Foundation (ISF), National Science Foundation (U.S.) (NSF)
Grant number: SES- 0922535 (NSF), SES-1227506 (NSF)

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