Spam: It's Not Just for Inboxes and Search Engines! Making Hirsch h-index Robust to Scientospam

TL;DR

This paper introduces a new, manipulation-resistant metric for evaluating scientific impact, addressing the limitations of traditional measures like the Hirsch h-index in the presence of scientospam.

Contribution

It proposes a novel, robust metric for scientific impact assessment that reduces susceptibility to manipulation and bias.

Findings

The new metric is less affected by scientospam compared to traditional h-index.

It provides a fairer evaluation of scientific impact across different fields.

The metric demonstrates improved robustness in empirical tests.

Abstract

What is the 'level of excellence' of a scientist and the real impact of his/her work upon the scientific thinking and practising? How can we design a fair, an unbiased metric -- and most importantly -- a metric robust to manipulation?