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  • Item type:Publication,
    Making sense of glass ceiling: A bibliometric analysis of conceptual framework, intellectual structure and research publications Open PDF 
    (Cogent OA, 2023)
    Singh, S.
    ;
    Sharma, C.
    ;
    Bali, P.
    ;
    Sharma, S.
    ;
    Shah, M.A.
    In life and employment, women face discrimination. The glass ceiling prohibits women from obtaining top management and leadership positions in male-dominated sectors. This study has conducted bibliometric analyses to analyze and highlight the glass ceiling literature. Authors searched international conferences and journals for relevant papers. This study evaluates 1,199 publications from the Scopus database’s core collection between 1988 and 2021 to visualize the Glass ceiling. This research analyses co-occurrence, co-citation, and bibliographic coupling to discover the field’s most important subjects, authors, and works. The extent of the glass ceiling, current publication patterns, significant regions, key articles, and critical publications were also studied. This research reveals that the glass ceiling is evolving. This research delivers vital insights and conclusions on the glass ceiling’s future. Also, rich and developing nations have significant knowledge differences. © 2023 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
  • Item type:Publication,
    Are Papers Written by Women Authors Cited Less Frequently? Open PDF 
    (2018)
    Esarey, J.
    ;
    Bryant, K.
    Dion, Sumner, and Mitchell (2018) find that a published article is more likely to cite at least one female-Authored paper if that article is itself authored by women. To complement their work, we study the number of times that an article in their data set is cited given that it has at least one female author. We find that articles with at least one female author are cited no more or less often than male-Authored articles once we control for the publishing journal and the number of authors. The importance of controlling for author count in our model suggests that spurious correlation and/or self-citation might explain at least some of the gender differences found by Dion, Sumner, and Mitchell (2018). Copyright © The Author(s) 2018. Published by Cambridge University Press on behalf of the Society for Political Methodology.Â.