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

PDF WRAP_motty_perry_citations-04-27-2016.pdf - Accepted Version - Requires a PDF viewer. Download (704Kb)

Request Changes to record.

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
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)

Request changes or add full text files to a record

Repository staff actions (login required)

View Item

Downloads