Challenges of scholarly communication: bibliometric transparency and impact

peter.suber's bookmarks 2022-05-16


Abstract:  Citation metrics have value because they aim to make scientific assessment a level playing field, but urgent transparency-based adjustments are necessary to ensure that measurements yield the most accurate picture of impact and excellence. One problematic area is the handling of self-citations, which are either excluded or inappropriately accounted for when using bibliometric indicators for research evaluation. In this talk, in favour of openly tracking self-citations, I report on a study of self-referencing behaviour among various academic disciplines as captured by the curated bibliometric database Web of Science. Specifically, I examine the behaviour of thousands of authors grouped into 15 subject areas like Biology, Chemistry, Science and Technology, Engineering, and Physics. In this talk, I focus on the methodological set-up of the study and discuss data science related problems like author name disambiguation and bibliometric indicator modelling. This talk bases on the following publication: Kacem, A., Flatt, J. W., & Mayr, P. (2020). Tracking self-citations in academic publishing. Scientometrics, 123(2), 1157–1165.  


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[IOI] Open Infrastructure Tracking Project » Items tagged with in Open Access Tracking Project (OATP)
Open Access Tracking Project (OATP) » peter.suber's bookmarks


oa.transparency oa.metrics oa.impact oa.citations oa.bibliometrics oa.scholcomm

Date tagged:

05/16/2022, 11:56

Date published:

05/16/2022, 07:56