Google Scholar – Platforming the scholarly economy
Open accessAbstract
Google Scholar has become an important player in the scholarly economy.Whereas typical academic publishers sell bibliometrics, analytics and ranking products, Alphabet, through Google Scholar, provides "free" tools for academic search and scholarly evaluation that have made it central to academic practice.Leveraging political imperatives for open access publishing, Google Scholar has managed to intermediate data flows between researchers, research managers and repositories, and built its system of citation counting into a unit of value that coordinates the scholarly economy.At the same time, Google Scholar's user-friendly but opaque tools undermine certain academic norms, especially around academic autonomy and the academy's capacity to understand how it evaluates itself.
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In academic contexts, Google Scholar plays a comparable role by indexing scholarly outputs and ordering them through citation-based metrics, effectively governing the visibility of research, researchers, and institutions.
“In academic contexts, Google Scholar plays a comparable role by indexing scholarly outputs and ordering them through citation-based metrics, effectively governing the visibility of research, researchers, and institutions (Goldenfein and Griffin, 2022).”
From Google Arts & Culture and the platformization of cultural heritage: Convergence, gamification, and shifting positions of institutional partners (2026) · cites this paper as Goldenfein and Griffin, 2022
The Introduction (page unavailable) says Google Scholar uses citation counting to control the visibility of research and researchers. The Search section describes its index and says citation count is estimated to be the most important factor in search ranking. The paper discusses metrics in institutional evaluation, but the passages do not say Google Scholar governs the visibility of institutions. (LLM, conf=0.82)
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What do citation counts measure? A review of studies on citing behavior
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Cao, T. L. (2026) · Convergence: The International Journal of Research into New Media Technologies · doi:10.1177/13548565261431167
- Authors
- Goldenfein, J., & Griffin, D.
- Affiliations
- The University of Melbourne (AU)
- University of California, Berkeley (US)
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- Goldenfein, Jake
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- Internet Policy Review
- Published
- 2022-09-29
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- 11
- Issue
- 3
- ISSN
- 2197-6775 (ISSN-L)
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- W4304688961
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- 11
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- RePEc: Research Papers in Economics (submittedVersion)
- Econstor (Econstor) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (1537324)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Keywords
- Google Scholar, citation counting, bibliometric analysis, open access publishing, academic search engines, research evaluation, academic autonomy, data intermediation
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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