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: [log in to unmask]
ORCiD: https://orcid.org/0000-0001-5059-4132
On 2019/07/17, 1:30 PM, "Code for Libraries on behalf of Stuart A. Yeates" <[log in to unmask] on behalf of [log in to unmask]> 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 sky
