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Replication data for: How to Count Citations If You Must

Version
V0
Resource Type
Dataset
Creator
  • Perry, Motty
  • Reny, Philip J.
Publication Date
2016-09-01
Description
  • 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.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.20140850 (Text)
Publications
  • Perry, Motty, and Philip J. Reny. “How To Count Citations If You Must.” American Economic Review 106, no. 9 (September 2016): 2722–41. https://doi.org/10.1257/aer.20140850.
    • ID: 10.1257/aer.20140850 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Perry, Motty; Reny, Philip J. (2016): Replication data for: How to Count Citations If You Must. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E112995