The work of Cassidy Sugimoto and Vincent Larivière comes to mind, as well as some of the work done at the Centre for Science and Technology Studies (CWTS) in the Netherlands. Some examples: https://www.semanticscholar.org/paper/Bibliometrics%3A-global-gender-disparities-in-Larivi%C3%A8re-Ni/73068e44373215a447d0a646446e73b94550610c https://www.cwts.nl/blog?article=n-q2z294&title=the-end-of-gender-disparities-in-science-if-only-it-were-true https://www.cwts.nl/blog?article=n-r2w2c4&title=indicators-for-social-good Marijane White, M.S.L.I.S. Data Librarian, Assistant Professor Oregon Health & Science University Library Phone: 503.494.3484 Email: whimar_at_ohsu.edu ORCiD: https://orcid.org/0000-0001-5059-4132 On 2019/07/17, 1:30 PM, "Code for Libraries on behalf of Stuart A. Yeates" <CODE4LIB_at_LISTS.CLIR.ORG on behalf of syeates_at_GMAIL.COM> wrote: I'm looking for work or discussions on systematic bias in bibliometrics or appropriate fora where such discussions are likely to happen. Even critical analysis of the founding assumptions of bibliometrics as a field would be a good place to start I have some ideas but they seem obvious and I'm afraid I'm missing a community of practice because what I think of as a widget they know as a whatzit. cheers stuart -- ...let us be heard from red core to black skyReceived on Wed Jul 17 2019 - 20:14:25 EDT