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Why Citation Counts Differ Between Google Scholar, Scopus, and Web of Science

Google Scholar, Scopus, and Web of Science count citations from different sources and match references differently. Learn how to interpret and report the figures.
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The three services report different citation counts because each builds its own citation database: they cover different sources and years, update on different schedules, and do not always extract or match references the same way. A count is meaningful only alongside the database that produced it, the kind of metric being reported, and the date it was checked.

Why the same paper has different citation counts

A citation count is not a universal tally of every time a work has been cited. A service must first discover a citing document, extract its references, and connect a reference to the right record. Differences at any of those stages can change the displayed total. The Dimensions Data Guide notes that there is no industry-wide standard for matching references and that databases differ in source coverage, time range, content type, update frequency, and matching methods.

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They cover different documents

Google Scholar is a search engine with broader coverage than Scopus, according to Elsevier’s Scopus Support Center. It may include theses and unpublished materials that Scopus does not index. Databases can also differ in how much they cover conference proceedings, preprints, and other material beyond journal articles. A higher count can therefore reflect more kinds of citing documents, not simply more citations from an equivalent set of publications.

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They cover different periods and update at different times

Databases may cover different publication years, and they do not necessarily add newly available records at the same pace. The Dimensions guide describes update frequencies ranging from daily to weekly and beyond. A new citing article, a corrected record, or a newly linked reference may show up in one service before another.

They parse and match references differently

Reference lists are not always clean or consistent: a citation may use an abbreviated title, incomplete publication details, or a different version of a work. If a system fails to recognize the reference, it may miss a citation; if it links the reference to the wrong record, it may count it incorrectly. Matching algorithms can also improve, changing counts after the citing documents themselves have not changed.

Why one database may be higher for a particular paper

Google Scholar may show more citations than Scopus or Web of Science when it includes citing documents that the other services do not index. Its broader coverage does not mean every extra record is the same type of publication or has been selected by the same criteria. Conversely, Scopus may be higher than Web of Science for a particular paper if its indexed sources, year coverage, or record matching capture more of that paper’s citing documents. There is no reliable fixed order that applies to every paper or field.

A difference in author-profile totals needs extra care. A profile total aggregates citations to the works included in that profile; profiles can differ in which works they contain or how versions and authors are grouped. Before comparing totals, check whether both figures refer to the same paper or to the same set of works. A cross-platform study of sampled papers is not a controlled audit of profile matching.

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What published comparisons can—and cannot—show

A multidisciplinary study by Martín-Martín and colleagues compared citation coverage for 2,515 highly cited, English-language documents published in 2006 and selected from Google Scholar’s Classic Papers subject categories. For that sample, the authors extracted 2,689,809 citing documents from Google Scholar, 1,738,573 from Scopus, and 1,503,657 from Web of Science. Data were collected in May and June 2019; the study also notes that its Google Scholar-based sample selection may favor Google Scholar and cautions that platform changes can make results obsolete. These historical, sample-specific totals are not current counts or a multiplier for an individual paper. The authors also report that differences vary by subject area. Read the study and its methodological caveats.

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Which citation count should you use?

Use the count that matches the purpose of your comparison, and identify its source. A curated bibliographic index and a broad search engine do not count precisely the same universe of documents. If a form, institution, or evaluation specifies a database, use that source rather than substituting a larger number from another platform. If the purpose is to find as many citing works as possible, multiple databases may help, but their overlapping counts must be deduplicated before treating them as a combined set.

  • Name the exact database or product, rather than writing only “citation count.”
  • Record the date you retrieved the figure, since counts can change as records and matches are updated.
  • Say whether the number is for one document, an author profile, or another collection.
  • Compare like with like: the same work or publication set, the same type of count, and a clearly stated source.
  • Do not add database totals as if they represent separate citations; the same citing work may appear in more than one service.

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