Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the Literature
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Until now, studies have largely examined the suitability of search systems for certain scholarly tasks for individual systems or by comparing a few systems.
“Until now, studies have largely examined the suitability of search systems for certain scholarly tasks for individual systems or by comparing a few systems.33, 50, 95”
Google Scholar's data export is unavailable for large-scale analysis.
“Moreover, one of the main setbacks in trying to use GS for large-scale analysis is the unavailability of its data export [23,31-33].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [31]
Cites
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Google Scholar coverage of a multidisciplinary field
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Flagged first, then by citations
Cited by
Sorted by citations
Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World
Pranckutė, R. (2021) · Publications · doi:10.3390/publications9010012 · Cited by 2,696 · see citing works
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“33,50,95 Our methods allowed a comprehensive review of many different search systems.”
MethodMartín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021) · Scientometrics · doi:10.1007/s11192-020-03690-4 · Cited by 1,018 · see citing works
Gusenbauer, M. (2019) · Scientometrics · doi:10.1007/s11192-018-2958-5 · Cited by 687 · see citing works
Dimensions: A competitor to Scopus and the Web of Science?
Thelwall, M. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.03.006 · Cited by 294 · see citing works
Early Mendeley readers correlate with later citation counts
Thelwall, M. (2018) · Scientometrics · doi:10.1007/s11192-018-2715-9 · Cited by 113 · see citing works
Domain-specific language models pre-trained on construction management systems corpora
Zhong, Y., & Goodfellow, S. D. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105316 · Cited by 65 · see citing works
An Evaluation of Web of Science, Scopus and Google Scholar Citations in Operations Management
Chapman, K., & Ellinger, A. E. (2019) · The International Journal of Logistics Management · doi:10.1108/ijlm-04-2019-0110 · Cited by 55 · see citing works
Tale of Three Databases: The Implication of Coverage Demonstrated for a Sample Query
Bar-Ilan, J. (2018) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2018.00006 · Cited by 43 · see citing works
Self-citationPoor visibility of retracted articles: a problem that should no longer be ignored
Boudry, C., Howard, K., & Mouriaux, F. (2023) · BMJ · doi:10.1136/bmj-2022-072929 · Cited by 22 · see citing works
Can Microsoft Academic Help to Assess the Citation Impact of Academic Books?
Kousha, K., & Thelwall, M. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.08.003 · Cited by 22 · see citing works
Castillo Campo, O., & Álvarez Fernández, R. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.135677 · Cited by 15 · see citing works
- Authors
- Halevi, G., Moed, H., & Bar-Ilan, J.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Sapienza University of Rome (IT)
- Corresponding author
- Halevi, Gali
- Venue
- Journal of Informetrics
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 11
- Issue
- 3
- Pages
- 823-834
- ISSN
- 1751-1577 (ISSN-L)
- OpenAlex
- W2730123083
- Semantic Scholar
- daa957c767c501f0ba4af3cea699674f5fde389e
- Cited by
- 488
- References
- 76
- Citations by year
- 2026: 47 · 2025: 64 · 2024: 87 · 2023: 61 · 2022: 77 · 2021: 47 · 2020: 31 · 2019: 32 · 2018: 36 · 2017: 6
- FWCI
- 25.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Informetrics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Keywords
- Google Scholar, bibliographic databases, Web of Science, Scopus, citation counts, bibliometric indicators, database coverage, indexing quality, citation manipulation, research evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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