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.
| Original language | English |
|---|---|
| Pages (from-to) | 719-731 |
| Journal | Journal of Informetrics |
| Volume | 10 |
| Issue number | 3 |
| Early online date | 10 Jun 2016 |
| DOIs | |
| Publication status | Published - 1 Aug 2016 |
Bibliographical note
© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/Fingerprint
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