Finding Doppelgängers in Scopus

How to build scientists control groups using sosia

Bibliographic Data

ID21443606
AuthorsMichael E Rose (0000-0002-4128-4236, Max Planck Institute for Innovation and Competition, corresponding author), Stefano Horst Baruffaldi (0000-0003-4022-7691, Max Planck Institute for Innovation and Competition)
Year2025
Volume130
Issue5
Pages3013-3028
Publication date2025-05-01
Open AccessYes
TypeARTICLE
VenueScientometrics (JOURNAL)
Journal identifiersISSN: 0138-9130 • E-ISSN: 1588-2861
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11192-025-05298-y
OpenAlexW4409514754
LanguageEN
References cited34

The construction of control groups of scientists is often a daunting effort. This paper presents , an open-source Python-based software designed to efficiently query the Scopus database via RESTful API. 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 narrowing 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

Bibliometrics · Control (management) · Data science · Epistemology · Information retrieval · Knowledge management · MEDLINE · Political science · Scopus · Sociology · World Wide Web · Artificial Intelligence · Computer Science · Data Analysis with R · Law · Philosophy · Scientific Computing and Data Management · scientometrics and bibliometrics research

Tools

Open DOIOpen Access