An empirical study to order citation statistics between subject fields
J. Martin van Zyl, Sean van der Merwe

TL;DR
This paper empirically compares citation metrics across different academic fields using country-level data, providing a basis for approximate cross-field researcher comparisons without distributional assumptions.
Contribution
It introduces a method to compare citation-based statistics between fields using ratios derived from summary data, avoiding complex distributional models.
Findings
Citation ratios vary significantly between fields
The method enables approximate cross-field researcher comparisons
No distributional assumptions are required
Abstract
An empirical study is conducted to compare citations per publication, statistics and observed Hirsch indexes between subject fields using summary statistics of countries. No distributional assumptions are made and ratios are calculated. These ratios can be used to make approximate comparisons between researchers of different subject fields with respect to the Hirsch index.
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Taxonomy
Topicsscientometrics and bibliometrics research · Biomedical Text Mining and Ontologies
