IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v111y2017i3d10.1007_s11192-017-2287-0.html
   My bibliography  Save this article

Gender comparisons of social work faculty using H-Index scores

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2287-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-017-2287-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Magdalena Formanowicz & Marta Witkowska & Weronika Hryniszak & Zuzanna Jakubik & Aleksandra Cisłak, 2023. "Gender bias in special issues: evidence from a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2283-2299, April.
    2. 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.
    3. Corey J A Bradshaw & Justin M Chalker & Stefani A Crabtree & Bart A Eijkelkamp & John A Long & Justine R Smith & Kate Trinajstic & Vera Weisbecker, 2021. "A fairer way to compare researchers at any career stage and in any discipline using open-access citation data," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-15, September.
    4. 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).
    5. Aleksandra Cislak & Magdalena Formanowicz & Tamar Saguy, 2018. "Bias against research on gender bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 189-200, April.
    6. Jennifer A. Horney & Adam Bitunguramye & Shazia Shaukat & Zackery White, 2024. "Gender and the h-index in epidemiology," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3725-3733, July.
    7. 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.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    2. Ash Mohammad Abbas, 2011. "Weighted indices for evaluating the quality of research with multiple authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 107-131, July.
    3. Pantea Kamrani & Isabelle Dorsch & Wolfgang G. Stock, 2021. "Do researchers know what the h-index is? And how do they estimate its importance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5489-5508, July.
    4. Zhenbin Yan & Qiang Wu & Xingchen Li, 2016. "Do Hirsch-type indices behave the same in assessing single publications? An empirical study of 29 bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1815-1833, December.
    5. Perc, Matjaž, 2010. "Zipf’s law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia’s research as an example," Journal of Informetrics, Elsevier, vol. 4(3), pages 358-364.
    6. Verónica Amarante & Marisa Bucheli & María Inés Moraes & Tatiana Pérez, 2021. "Women in Research in Economics in Uruguay," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 40(84), pages 763-790, October.
    7. Cabrerizo, F.J. & Alonso, S. & Herrera-Viedma, E. & Herrera, F., 2010. "q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core," Journal of Informetrics, Elsevier, vol. 4(1), pages 23-28.
    8. Wildgaard, Lorna, 2016. "A critical cluster analysis of 44 indicators of author-level performance," Journal of Informetrics, Elsevier, vol. 10(4), pages 1055-1078.
    9. James C. Ryan, 2016. "A validation of the individual annual h-index (hIa): application of the hIa to a qualitatively and quantitatively different sample," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 577-590, October.
    10. Kam C. Chan & Anna Fung & Hung-Gay Fung & Jot Yau, 2016. "A Citation Analysis of Business Ethics Research: A Global Perspective," Journal of Business Ethics, Springer, vol. 136(3), pages 557-573, July.
    11. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Grilli, Leonardo, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Journal of Informetrics, Elsevier, vol. 15(4).
    12. Yu Liu & Wei Zuo & Ying Gao & Yanhong Qiao, 2013. "Comprehensive geometrical interpretation of h-type indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 605-615, August.
    13. Xuan Jiang & Wan-Ying Chang & Bruce A Weinberg, 2021. "Man versus machine? Self-reports versus algorithmic measurement of publications," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-22, September.
    14. Petridis, Konstantinos & Malesios, Chrisovalantis & Arabatzis, Garyfallos & Thanassoulis, Emmanuel, 2013. "Efficiency analysis of forestry journals: Suggestions for improving journals’ quality," Journal of Informetrics, Elsevier, vol. 7(2), pages 505-521.
    15. Mike Thelwall & Tamara Nevill, 2019. "No evidence of citation bias as a determinant of STEM gender disparities in US biochemistry, genetics and molecular biology research," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1793-1801, December.
    16. Anna Tietze & Philip Hofmann, 2019. "The h-index and multi-author hm-index for individual researchers in condensed matter physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 171-185, April.
    17. Diego Kozlowski & Dakota S Murray & Alexis Bell & Will Hulsey & Vincent Larivière & Thema Monroe-White & Cassidy R Sugimoto, 2022. "Avoiding bias when inferring race using name-based approaches," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-16, March.
    18. Marek Gągolewski & Przemysław Grzegorzewski, 2009. "A geometric approach to the construction of scientific impact indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 617-634, December.
    19. Edgar D. Zanotto & Vinicius Carvalho, 2021. "Article age- and field-normalized tools to evaluate scientific impact and momentum," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2865-2883, April.
    20. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2287-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.