A Geo-Gender Study of Indexed Computer Science Research Publications

TL;DR

This study introduces a geo-gender analysis of computer science research publications, quantifying gender participation gaps across countries using a new index and a comprehensive authorship database.

Contribution

It presents a novel geo-gender gap index and a detailed methodology for analyzing gender disparities in computer science research publications across different countries.

Findings

Identified significant geographical disparities in female authorship.

Developed a new index to measure gender participation in publications.

Provided insights into the distribution of female researchers across countries.

Abstract

This paper presents a study that analyzes and gives quantitative means for measuring the gender gap in computing research publications. The data set built for this study is a geo-gender tagged authorship database named authorships that integrates data from computing journals indexed in the Journal Citation Reports (JCR) and the Microsoft Academic Graph (MAG). We propose a gender gap index to analyze female and male authors' participation gap in JCR publications in Computer Science. Tagging publications with this index, we can classify papers according to the degree of participation of both women and men in different domains. Given that working contexts vary for female scientists depending on the country, our study groups analytics results according to the country of authors affiliation institutions. The paper details the method used to obtain, clean and validate the data, and then it states the hypothesis adopted for defining our index and classifications. Our study results have led to enlightening conclusions concerning various aspects of female authorship's geographical distribution in computing JCR publications.