期刊h指数对出版物和引文价值的稳健性测量：贝叶斯敏感性分析
Measuring the robustness of the journal h-index with respect to publication and citation values: A Bayesian sensitivity analysis
摘要：
Braun et al.（2006）建议使用h指数作为期刊影响因子（IF）的替代方法来评定期刊。本文利用数学模型对期刊h指数对期刊发表/被引数变化的影响进行了基于贝叶斯的敏感性分析。h指数的敏感性对于引文数量的变化最为明显，几乎所有模型都显示出类似的行为模式，并且独立于研究领域。一般来说，h指数被发现对引用分布的第25个百分位数的引用变化具有鲁棒性，之后会膨胀其值。
英文摘要：
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.
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