Scaling the h-index for different scientific ISI fields
Juan E. Iglesias, Carlos Pecharroman

TL;DR
This paper introduces a method to normalize the h-index across various scientific fields, aiming to prevent misuse and enable fairer comparisons of researchers' impact.
Contribution
A straightforward scaling approach for the h-index across different ISI fields to improve cross-disciplinary evaluation fairness.
Findings
The proposed scaling method effectively normalizes h-values across fields.
It reduces the potential for misuse in inter-area comparisons.
The approach is simple and easy to implement.
Abstract
We propose a simple way to put in a common scale the h values of researchers working in different scientific ISI fields, so that the previsible misuse of this index for inter-areas comparison might be prevented, or at least, alleviated.
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Taxonomy
TopicsCompetitive and Knowledge Intelligence · Big Data and Business Intelligence
