  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.
