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.

中文翻译：

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索引计算机科学研究出版物的地理性别研究

本文提出了一项研究，该研究分析了测量研究出版物中的性别差距，并提供了量化手段。为这项研究构建的数据集是一个具有性别标记的作者身份数据库，该数据库名为authorships，该数据库集成了来自《期刊引文报告》（JCR）和Microsoft Academic Graph（MAG）中索引的计算期刊的数据。我们提出了一个性别差距指数，用于分析计算机科学JCR出版物中女性和男性作者的参与差距。通过使用该索引标记出版物，我们可以根据男女在不同领域的参与程度对论文进行分类。鉴于女性科学家的工作环境因国家/地区而异，因此我们的研究根据作者所属机构所在的国家/地区对分析结果进行分组。该文件详细介绍了用于获取，清理并验证数据，然后陈述用于定义索引和分类的假设。我们的研究结果得出了关于计算JCR出版物中女性作者的地域分布各个方面的启发性结论。