PUBBLICAZIONE/PUBLICATION

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  • Item type:Publication,
    A Retrospective of Women Entrepreneurship Research and Future Research Directions
    (2024)
    Iqbal, S.
    ;
    Farrukh, M.
    ;
    Bhaumik, A.
    Entrepreneurship, and especially the involvement of women, is crucial to the advancement of the economy and society as a whole. By using bibliometric analysis, this article gives a thorough review of contemporary research on women’s entrepreneurship. This study examines a variety of factors, including countries, academic publications, authors and suggested areas for further research. The study’s objectives are to guide future research, educate policymakers and serve as a resource for researchers interested in furthering the study of women’s entrepreneurship and its societal implications. © 2024 MDI.
  • Item type:Publication,
    Trends in tertiary education: gender and academia
    (2022)
    Pedraja-Rejas, L.
    ;
    Muñoz-Fritis, C.
    ;
    Araneda-Guirriman, C.
    The aim of this article is to analyze the scientific production related to gender in the academic staff in the context of tertiary education. To this end, a bibliometric and content analysis of journal articles indexed to Web of Science published between 1991 and 2020 is developed. Data analysis is carried out with the help of Bibliometrix and VOSviewer. The results show that, despite a strong increase in scientific production in the last decade, many articles in the sample relegate the issue of gender to one more analysis variable, which causes it to lose many times the relevance of the study. We concluded that, there are still several subtopics to address in the discussion of the gender of the academic staff. © 2022, Universidad del Zulia. All rights reserved.
  • Item type:Publication,
    Bias against research on gender bias Open PDF 
    (2018)
    Cislak, Aleksandra
    ;
    Formanowicz, Magdalena
    ;
    Saguy, Tamar
    The bias against women in academia is a documented phenomenon that has had detrimental consequences, not only for women, but also for the quality of science. First, gender bias in academia affects female scientists, resulting in their underrepresentation in academic institutions, particularly in higher ranks. The second type of gender bias in science relates to some findings applying only to male participants, which produces biased knowledge. Here, we identify a third potentially powerful source of gender bias in academia: the bias against research on gender bias. In a bibliometric investigation covering a broad range of social sciences, we analyzed published articles on gender bias and race bias and established that articles on gender bias are funded less often and published in journals with a lower Impact Factor than articles on comparable instances of social discrimination. This result suggests the possibility of an underappreciation of the phenomenon of gender bias and related research within the academic community. Addressing this meta-bias is crucial for the further examination of gender inequality, which severely affects many women across the world.
  • Item type:Publication,
    A bibliometric analysis of the 100 most-influential papers in the field of anti-diabetic drugs Open PDF 
    (2024)
    Azam, Fatima
    ;
    Dawood, Muhammad Hamza
    ;
    Roshan, Aroosa
    ;
    Urooj, Maryam
    ;
    Khan, Zoha
    Aim: We analyzed the 100 most-cited articles on all anti-diabetic drugs. A comprehensive literature review found no bibliometrics on this. Methods: Two researchers independently extracted articles from Scopus and ranked them by citation count as the 'top 100 most-cited'. Results: The median number of citations is 1385.5. Most articles are from the USA (n = 59). Insulin has the most papers (n = 24). Majority (n = 76) were privately funded and contained at least one conflict of interest (n = 66). The New England Journal of Medicine has the most publications (n = 44). Male authors made majority of both first and last authorship positions. Conclusion: This study aims to aid in directing future research and in reducing biases.