Peculiarities of gender disambiguation and ordering of non-English authors' names for Economic papers beyond core databases

This paper presents the results of further exploration of Crossref data related to Ukrainian Economics research (the first part can be found in [Mryglod, O., Nazarovets, S. & Kozmenko, S. (2021) Scientometrics, 126, 8187]). Our purpose is to supplement the quantitative portrait of Ukrainian Economics discipline with the results of gender and author ordering analysis at the level of individual authors, special methods of working with bibliographic data with a predominant share of non-English authors are used. The properties of gender mixing, the likelihood of male and female authors occupying the first position in the authorship list, as well as the arrangements of names are studied. A data set containing bibliographic records related to Ukrainian journal publications in the field of Economics is constructed using Crossref metadata. The described stages for working with such specific data help to work at the level of authors and analyse, in particular, gender issues. Despite the larger number of female authors, gender equality is more likely to be reported at the individual level for the discipline of Ukrainian Economics. The tendencies towards collaborative or solo-publications and gender mixing patterns are found to be dependent on the journal: the differences for publications indexed in Scopus and/or Web of Science databases are found. It has also been found that Ukrainian Economics research is characterized by rather a non-alphabetical order of authors. To our knowledge, this is the first large-scale quantitative study of Ukrainian Economic discipline. The results obtained are valuable not only at the national level, but also contribute to general knowledge about Economic research, gender issues and authors' names ordering. Here, for the first time, attention is drawn to the explicit use of the features of the Slavic authors' names.