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：为了推进学术研究，评估和评价研究人员及其成果的学术影响力至关重要。引文指标是广泛用于评价研究人员的通用方法。在众多引文指标中，Hirsch提出的h指数已成为主要衡量标准。近期研究表明，由于作者身份模式的改变，h指数并非衡量科学影响力的有效指标。这一问题可通过使用论文的h指数来计算作者的h指数加以缓解。我们证明，采用h指数的分数分配方法能取得更优结果。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分数指数。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。同时，我们将论文的h指数与九种类似h指数的指标进行了比较。实验表明，与h指数相比，hp分数指数能提供独特的排名。在授予获奖研究人员更高排名方面，该指标的表现也优于h指数。