  Braun et al. (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.
