  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.
