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Finding Doppelgängers in Scopus: How to Build Scientists Control Groups Using Sosia

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Rose,  Michael
MPI for Innovation and Competition, Max Planck Society;

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Baruffaldi,  Stefano Horst
MPI for Innovation and Competition, Max Planck Society;

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Citation

Rose, M., & Baruffaldi, S. H. (2020). Finding Doppelgängers in Scopus: How to Build Scientists Control Groups Using Sosia. Max Planck Institute for Innovation & Competition Research Paper, No. 20-20.


Cite as: http://hdl.handle.net/21.11116/0000-0007-8A1D-E
Abstract
The construction of control groups of scientists is often a daunting effort. This paper presents sosia, an open-source Python-based software designed to query efficiently the Scopus database via RESTful API. sosia searches for researchers with publication profiles similar to a given researcher up to a given year based on all main standard bibliometric indicators. The user can choose flexibly a set of parameters to restrict the search to more or less narrow boundaries upfront and obtain additional similarity indicators to select a subset of authors after the search. Advanced settings also allow to narrow the search to a list of affiliations and to minimize the possible errors arising from ambiguous author profiles. One basic search can be set up in a few command lines and the average time of computation goes between 60 and 300 minutes. We discuss the functioning, characteristics, limitations and possible extension of the software.