Measuring the robustness of the journal h-index with respect to publication and citation values: A Bayesian sensitivity analysis

Chrysovalantis Malesios

Journal of Informetrics, 2016, vol. 10, issue 3, 719-731

Abstract: Braun, Glänzel, and Schubert (2006) recommended using the h-index as an alternative to the journal impact factor (IF) to qualify journals. In this paper, a Bayesian-based sensitivity analysis is performed with the aid of mathematical models to examine the behavior of the journal h-index to changes in the publication/citation counts of journals. Sensitivity of the h-index was most apparent for changes in the number of citations, revealing similar patterns of behavior for almost all models and independently to the field of research. In general, the h-index was found to be robust to changes in citations up to approximately the 25th percentile of the citation distribution, inflating its value afterwards.

Keywords: Journal h-index; Bayesian inference; Sensitivity analysis; Robustness; Citations; Publications (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:10:y:2016:i:3:p:719-731

DOI: 10.1016/j.joi.2016.03.002

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