PUBBLICAZIONE/PUBLICATION

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  • Item type:Publication,
    Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books: Gender Gap in Computer Science Open PDF 
    (2021)
    Kadriu, A.
    ;
    Sahatqija, K.
    ;
    Abazi-Bexheti, L.
    The purpose of the research presented in this paper is the investigation of the gender gap in published computing books. The book titles from the DBLP computer science bibliography were the basis for this investigation. The conducted research involves co-authorship network exploration using social network analysis methods, as well as content learning by keyword extraction and ranking from book titles. The findings show that female authors tend to publish fewer books in computing than their male colleagues, and there is a huge gap of women regarding the collaboration. There are just two women names within the 50 author names with the highest social network top metrics, indicating collaboration. Regarding the extracted keywords, though there are differences, results do not show some huge divergences when it comes to the used language for computing titles. Copyright © 2021, IGI Global.
  • Item type:Publication,
    The evolution of female authorship in computing research Open PDF 
    (2015)
    Cavero, J.M.
    ;
    Vela, B.
    ;
    Cáceres, P.
    ;
    Cuesta, C.
    ;
    Sierra-Alonso, A.
    In this paper we have conducted a study that covers computer science publications from 1936 to 2010 in order to analyze the evolution of women in computing research. We have considered the computing conferences and journals that are available in the digital bibliography and library project database, which contains more than 1.5 million papers and more than 4 million authorships, corresponding to about 4,000 journals, conferences and workshops. We analyze the participation of women as the authors of publications, productivity and its relationship with the average research life of women in comparison to that of men, the gender distribution of conference and journal authorships depending on different computer science topics, and authors’ behavior as regards collaborating with one gender and/or the other. We also detail the method used to obtain and validate the data. The results of our study have led us to some interesting conclusions concerning various aspects of the evolution of female authorship in computing research. © 2014, Akadémiai Kiadó, Budapest, Hungary.