Malesios, C. (2016). Measuring the robustness of the journal h-index with respect to publication and citation values: A Bayesian sensitivity analysis. Journal of Informetrics, 10 (3), pp. 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.
| Publication DOI: | https://doi.org/10.1016/j.joi.2016.03.002 |
|---|---|
| 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 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Publication ISSN: | 1751-1577 |
| Last Modified: | 08 Jan 2024 09:13 |
| 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.
(
0000-0003-0378-3939)
|
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Version: Accepted Version
License: Creative Commons Attribution Non-commercial No Derivatives
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