Year: 2020
Type: article
Abstract: 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.
Source: Scientometrics
Authors: Michael E. Rose, Stefano H. Baruffaldi
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,750
OpenAlex ID: W4409514754