Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies

By Jeroen Baas, Michiel Schotten, Andrew M. Plume, Grégoire Côté, Reza Karimi. Quantitative Science Studies, 2020

1,847 citations recorded by the source corpus.

Abstract Scopus is among the largest curated abstract and citation databases, with a wide global and regional coverage of scientific journals, conference proceedings, and books, while ensuring only the highest quality data are indexed through rigorous content selection and re-evaluation by an independent Content Selection and Advisory Board. Additionally, extensive quality assurance processes continuously monitor and improve all data elements in Scopus. Besides enriched metadata records of scientific articles, Scopus offers comprehensive author and institution profiles, obtained from advanced profiling algorithms and manual curation, ensuring high precision and recall. The trustworthiness of Scopus has led to its use as bibliometric data source for large-scale analyses in research assessments, research landscape studies, science policy evaluations, and university rankings. Scopus data have been offered for free for selected studies by the academic research community, such as through application programming interfaces, which have led to many publications employing Scopus data to investigate topics such as researcher mobility, network visualizations, and spatial bibliometrics. In June 2019, the International Center for the Study of Research was launched, with an advisory board consisting of bibliometricians, aiming to work with the scientometric research community and offering a virtual laboratory where researchers will be able to utilize Scopus data.

Subfields: Computer Science Applications, Management Information Systems, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0636653b82e152ba99b1d921b0aa2798aa845d1e

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In Computer Science Applications

Raminta Pranckute

In Management Information Systems

In Statistics and Probability

Citations in the corpus

Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases (2020, positive): “Thus, it is the intention of the current study to use both databases for investigating these processes and compare the results with those from Web of Science and Scopus (Elsevier; Baas et al., 2020).”
Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today's Academic World (2021, background): “However, according to a Scopus representative, upon the discontinuation of a title, a previously indexed content is not removed from the DB [12].”