Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968134 | Journal of Informetrics | 2016 | 13 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
C. Malesios,