2023/05/05 by Aashay Singhal, Singhal, Aashay, Kamalakar Karlapalem +1
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Text Analysis Techniques #Complex Network Analysis Techniques #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Social and Information Networks (cs.SI) #scientometrics and bibliometrics research
paper · pdf · doi:10.48550/arxiv.2305.03364
openalex publication_date 2023/05/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In order to advance academic research, it is important to assess and evaluate the academic influence of researchers and the findings they produce. Citation metrics are universally used methods to evaluate researchers. Amongst the several variations of citation metrics, the h-index proposed by Hirsch has become the leading measure. Recent work shows that h-index is not an effective measure to determine scientific impact - due to changing authorship patterns. This can be mitigated by using h-index of a paper to compute h- index of an author. We show that using fractional allocation of h-index gives better results. In this work, we reapply two indices based on the h-index of a single paper. The indices are referred to as: hp-index and hp-frac-index. We run large-scale experiments in three different fields with about a million publications and 3,000 authors. We also compare h-index of a paper with nine h-index like metrics. Our experiments show that hp-frac-index provides a unique ranking when compared to h-index. It also performs better than h-index in providing higher ranks to the awarded researcher.