A study entitled “Data Sets for Author Name Disambiguation: An Empirical Analysis and a New Resource” has just been published in the Springer Scientometrics journal. The authors of the study, which was produced in the Leibniz-funded project “Scalable Author Disambiguation for Bibliographic Databases”, are Mark-Christoph Müller from the HITS NLP group, Florian Reitz from dblp and Nicolas Roy from zbMATH.
The study has been published as Open Access and is available here.
HITS, the Heidelberg Institute for Theoretical Studies, was established in 2010 by physicist and SAP co-founder Klaus Tschira (1940-2015) and the Klaus Tschira Foundation as a private, non-profit research institute. HITS conducts basic research in the natural, mathematical, and computer sciences. Major research directions include complex simulations across scales, making sense of data, and enabling science via computational research. Application areas range from molecular biology to astrophysics. An essential characteristic of the Institute is interdisciplinarity, implemented in numerous cross-group and cross-disciplinary projects. The base funding of HITS is provided by the Klaus Tschira Foundation.