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Gender comparisons of social work faculty using H-Index scores

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  • T. Edison Carter

    (Florida State University)

  • Thomas E. Smith

    (Florida State University)

  • Philip J. Osteen

    (Florida State University)

Abstract

The objective of this study is to determine the role of gender and faculty rank in explaining variance in individual research impact and productivity for social work doctoral faculty. Research impact and productivity were assessed with the H-Index, which is a widely used citation index measure that assesses the quality and quantity of published research articles. We compared the individual H-Index scores for all doctoral level social work faculty from doctoral programs in the United States (N = 1699). Differences in H-Index means were assessed between genders at each tenure-track faculty rank, and between faculty ranks for each gender. Both gender and faculty rank were associated with differences in scholarly impact and productivity. Although men had higher H-Index scores than women in all faculty ranks, the gender gap was the greatest between men and women at the Full Professor level. The gender gap was least pronounced at the Associate Professor level, where women’s H-Index scores were closer to those of men. Results support previous studies in which women in the social sciences have lower H-Index scores than men. The diminished gap between men and women at the Associate Professor level may suggest that women get promoted to Full Professor less frequently than men at comparable career milestones. While the results of this study are consistent with the argument that women face unique barriers to academic promotion and other forms of academic success in social work, these results do not explain any specific barriers that may cause the gender gap.

Suggested Citation

  • T. Edison Carter & Thomas E. Smith & Philip J. Osteen, 2017. "Gender comparisons of social work faculty using H-Index scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1547-1557, June.
  • Handle: RePEc:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2287-0
    DOI: 10.1007/s11192-017-2287-0
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    References listed on IDEAS

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    1. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    2. Lisa Geraci & Steve Balsis & Alexander J. Busch Busch, 2015. "Gender and the h index in psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2023-2034, December.
    3. Allison L. Hopkins & James W. Jawitz & Christopher McCarty & Alex Goldman & Nandita B. Basu, 2013. "Disparities in publication patterns by gender, race and ethnicity based on a survey of a random sample of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 515-534, August.
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    Cited by:

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    3. Loarne-Lemaire, Séverine Le & Bertrand, Gaël & Razgallah, Meriam & Maalaoui, Adnane & Kallmuenzer, Andreas, 2021. "Women in innovation processes as a solution to climate change: A systematic literature review and an agenda for future research," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    4. Aleksandra Cislak & Magdalena Formanowicz & Tamar Saguy, 2018. "Bias against research on gender bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 189-200, April.
    5. Thomas E. Smith & Kat S. Jacobs & Philip J. Osteen & T. Edison Carter, 2018. "Comparing the research productivity of social work doctoral programs using the h-Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1513-1530, September.
    6. Margaret K. Merga & Sayidi Mat Roni & Shannon Mason, 2020. "Should Google Scholar be used for benchmarking against the professoriate in education?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2505-2522, December.
    7. María José Foncubierta-Rodríguez & Fernando Martín-Alcázar & José Luis Perea-Vicente, 2023. "A typology of principal investigators based on their human capital: an exploratory analysis," The Journal of Technology Transfer, Springer, vol. 48(3), pages 932-954, June.

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