The 'Big Three' of Scientific Information: A comparative bibliometric review of Web of Science, Scopus, and OpenAlex. Torres-Salinas, D. & Arroyo-Machado, W. January, 2026.
The 'Big Three' of Scientific Information: A comparative bibliometric review of Web of Science, Scopus, and OpenAlex [link]Paper  abstract   bibtex   
The present comparative study examines the three main multidisciplinary bibliographic databases, Web of Science Core Collection, Scopus, and OpenAlex, with the aim of providing up-to-date evidence on coverage, metadata quality, and functional features to help inform strategic decisions in research assessment. The report is structured into two complementary methodological sections. First, it presents a systematic review of recent scholarly literature that investigates record volume, open-access coverage, linguistic diversity, reference coverage, and metadata quality; this is followed by an original bibliometric analysis of the 2015-2024 period that explores longitudinal distribution, document types, thematic profiles, linguistic differences, and overlap between databases. The text concludes with a ten-point executive summary and five recommendations.
@misc{torres-salinas_big_2026,
	title = {The '{Big} {Three}' of {Scientific} {Information}: {A} comparative bibliometric review of {Web} of {Science}, {Scopus}, and {OpenAlex}},
	shorttitle = {The '{Big} {Three}' of {Scientific} {Information}},
	url = {https://arxiv.org/abs/2601.21908v1},
	abstract = {The present comparative study examines the three main multidisciplinary bibliographic databases, Web of Science Core Collection, Scopus, and OpenAlex, with the aim of providing up-to-date evidence on coverage, metadata quality, and functional features to help inform strategic decisions in research assessment. The report is structured into two complementary methodological sections. First, it presents a systematic review of recent scholarly literature that investigates record volume, open-access coverage, linguistic diversity, reference coverage, and metadata quality; this is followed by an original bibliometric analysis of the 2015-2024 period that explores longitudinal distribution, document types, thematic profiles, linguistic differences, and overlap between databases. The text concludes with a ten-point executive summary and five recommendations.},
	language = {en},
	urldate = {2026-02-10},
	journal = {arXiv.org},
	author = {Torres-Salinas, Daniel and Arroyo-Machado, Wenceslao},
	month = jan,
	year = {2026},
}

Downloads: 0