TY - JOUR
T1 - Measuring the robustness of the journal h-index with respect to publication and citation values: A Bayesian sensitivity analysis
AU - Malesios, C.
N1 - © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
PY - 2016/8/1
Y1 - 2016/8/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84973461708&partnerID=MN8TOARS
UR - https://www.sciencedirect.com/science/article/pii/S1751157715302303?via%3Dihub
U2 - 10.1016/j.joi.2016.03.002
DO - 10.1016/j.joi.2016.03.002
M3 - Article
SN - 1751-1577
VL - 10
SP - 719
EP - 731
JO - Journal of Informetrics
JF - Journal of Informetrics
IS - 3
ER -