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

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.

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 Creators:
Rose, Michael1, Author           
Baruffaldi, Stefano Horst1, Author           
Affiliations:
1MPI for Innovation and Competition, Max Planck Society, ou_2035292              

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Free keywords: Statistical Software, Control Group, Diff-in-Diff, Scopus
 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.

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Language(s): eng - English
 Dates: 2020-12-03
 Publication Status: Published online
 Pages: 23
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: Max Planck Institute for Innovation & Competition Research Paper
Source Genre: Series
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Pages: - Volume / Issue: No. 20-20 Sequence Number: - Start / End Page: - Identifier: -