Measuring Scientific Broadness
Tom Price, Sabine Hossenfelder

TL;DR
This paper proposes a method to quantify scientific broadness through semantic analysis of researchers' publications, applied to arXiv papers, providing a new metric for assessing research diversity.
Contribution
It introduces a novel approach to measure scientific broadness using semantic analysis, filling a gap in quantifying research diversity.
Findings
Successful application to arXiv data
Quantitative measure of scientific broadness
Insights into researcher diversity
Abstract
Who has not read letters of recommendations that comment on a student's `broadness' and wondered what to make of it? We here propose a way to quantify scientific broadness by a semantic analysis of researchers' publications. We apply our methods to papers on the open-access server arXiv.org and report our findings.
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Taxonomy
Topicsscientometrics and bibliometrics research · Research Data Management Practices · Web visibility and informetrics
