Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories
Not on the map. Why?
Abstract (arXiv)
Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no recent or systematic evidence about the differences between them. In response, this paper investigates 2,448,055 citations to 2,299 English-language highly-cited documents from 252 GS subject categories published in 2006, comparing GS, the WoS Core Collection, and Scopus. GS consistently found the largest percentage of citations across all areas (93%-96%), far ahead of Scopus (35%-77%) and WoS (27%-73%). GS found nearly all the WoS (95%) and Scopus (92%) citations. Most citations found only by GS were from non-journal sources (48%-65%), including theses, books, conference papers, and unpublished materials. Many were non-English (19%-38%), and they tended to be much less cited than citing sources that were also in Scopus or WoS. Despite the many unique GS citing sources, Spearman correlations between citation counts in GS and WoS or Scopus are high (0.78-0.99). They are lower in the Humanities, and lower between GS and WoS than between GS and Scopus. The results suggest that in all areas GS citation data is essentially a superset of WoS and Scopus, with substantial extra coverage.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Aug 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 2; 2024: 1; 2025: 1; 2026: 3.
8 papers.
- 2023Vision-Based Human Pose Estimation via Deep Learning: A Surveycited by 20
- 2022Machine Learning for Software Engineering: A Tertiary Studycited by 7
- 2023How many preprints have actually been printed and why: a case study of computer science preprints on arXivcited by 6
- 2024Quantitative Technology Forecasting: a Review of Trend Extrapolation Methodscited by 1
- 2025VizCV: AI-assisted visualization of researchers' publications trackscited by 1
- 2026Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Reviewcited by 0
- 2026AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesiscited by 0
- 2026Eleven Years of BRACIS: A Meta-Scientific Study of the Brazilian Conference on Intelligent Systemscited by 0
- 2026AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis30 Jul 2026
- 2026Eleven Years of BRACIS: A Meta-Scientific Study of the Brazilian Conference on Intelligent Systems26 Jul 2026
- 2026Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Review24 Mar 2026
- 2025VizCV: AI-assisted visualization of researchers' publications tracks13 May 2025
- 2024Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods4 Jan 2024
- 2023Vision-Based Human Pose Estimation via Deep Learning: A Survey26 Aug 2023
- 2023How many preprints have actually been printed and why: a case study of computer science preprints on arXiv3 Aug 2023
- 2022Machine Learning for Software Engineering: A Tertiary Study17 Nov 2022