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


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.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Publication ISSN: 1751-1577
Last Modified: 22 Apr 2024 07:24
Date Deposited: 31 Jul 2019 14:15
Full Text Link: http://www.scop ... tnerID=MN8TOARS
Related URLs: https://www.sci ... 2303?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2016-08-01
Published Online Date: 2016-06-10
Accepted Date: 2016-03-14
Authors: Malesios, C. (ORCID Profile 0000-0003-0378-3939)

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