Spam: It's Not Just for Inboxes and Search Engines! Making Hirsch h-index Robust to Scientospam
Dimitrios Katsaros, Leonidas Akritidis, Panayiotis Bozanis

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?
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Taxonomy
Topicsscientometrics and bibliometrics research · Advanced Text Analysis Techniques · Web visibility and informetrics
