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.

翻译：为推动学术研究发展，评估研究者及其成果的学术影响力至关重要。引文指标是评估研究者的通用方法。在众多引文指标变体中，Hirsch提出的h指数已成为主导性衡量标准。近期研究表明，由于作者署名模式的演变，h指数并非衡量科学影响力的有效指标。通过采用论文的h指数来计算作者的h指数可缓解这一问题，而基于分数分配法的h指数能获得更优结果。本研究重新应用了两种基于单篇论文h指数的指标，分别称为hp指数和hp-frac指数。我们在三个不同领域开展了大规模实验，涉及约百万篇论文和3000位作者，并将论文h指数与九种类h指数指标进行比较。实验表明，与h指数相比，hp-frac指数提供了独特的排序体系，并且在为获奖研究者提供更高排名时表现更优。