A population-modulated bibliometric measure with an application in the field of statistics

TL;DR

This paper introduces a new bibliometric measure derived through confirmatory factor analysis that combines various indices to provide a more comprehensive evaluation of scientists' research performance.

Contribution

It presents a novel population-modulated bibliometric measure that integrates multiple scientific performance metrics for improved researcher assessment.

Findings

The combined measure offers a better overall evaluation of scientists.

Application to real data from statistics departments demonstrates its effectiveness.

The approach unifies various bibliometric indices into a single measure.

Abstract

We use confirmatory factor analysis to derive a unifying measure of comparison of scientists based on bibliometric measurements, by utilizing the h-index, some similar h-type indices as well as other common measures of scientific performance. We use a real data example from nine well-known departments of statistics to demonstrate our approach and argue that our combined measure results in a better overall evaluation of a researchers' scientific work.