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Item type:Publication, Gender disparities in the field of economics Open PDF(2020) ;Liu, Junwan ;Song, YingluYang, SaiIn order to analyse the gender disparities in scientific research output in the field of economics, this paper selected the Web of Science database as the source database. We collected and screened 257,642 articles written by 130,397 authors from 1933 to 2017 in the field of economics. In this study, we use mathematical statistics and bibliometrics indexes to quantitatively analyse the gap between male and female authors in many aspects, including the output and influence in different level of journals and institutions, the dynamic evolution of output and influence and collaboration modes with gender disparities. In addition, we have analyzed the disparities in output and influence of male and female authors among different countries. The results show that male authors dominate in the economics research field according to their high output and influence. However, female authors also show advantage when it comes to the research influence. Finally, we conducted a dynamic analysis of the contribution and collaboration of men and women over the course of their careers, and our findings again demonstrate the importance of women’s participation in scientific collaboration. This study can provide an insight of gender different in economics research.Item type:Publication, Bibliometric studies on gender disparities in science(2019)Halevi, G.Understanding gender related disparities in science is an essential step in tackling these issues. Through the years, bibliometric studies have designed several methodologies to analyze scholarly output and demonstrate that there are significant gaps between men and women in the scientific arena. However, gender identification in itself is an enormous challenge, since bibliographic data does not reveal it. These bibliometric studies not only focused on publication output and impact, but also on cross-referencing output, promotions and tenure data, and other related curriculum vitae (CV) information. This chapter discusses the challenges of tracking gender disparities in science through bibliometrics and reviews the various approaches taken by bibliometricians to identify gender and analyze the bibliographic data in order to point to gender disparities in science. © Springer Nature Switzerland AG 2019.