The DOI matches its Crossref record; 40 of the 44 references it cites were found in a registry or an index.
Google Scholar revisited
Abstract
Purpose: The purpose of this paper is to revisit Google Scholar. Design/methodology/approach: This paper discusses the strengths and weaknesses of Google Scholar. Findings: The Google Books project has given a massive and valuable boost to the already rich and diverse content of Google Scholar. The downside of the growth is that significant gaps remain for top ranking journals and serials, and the number of duplicate, triplicate and quadruplicate records for the same source documents (which Google Scholar cannot detect reliably) has increased. Originality/value: This paper discusses the strengths and weaknesses of Google Scholar.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Previous studies examining the suitability of search systems for evidence synthesis have focused on a limited number of search systems and/or based their analysis on a review of the search interface, yet without any in‐depth examination of core functionalities that allow reliable query‐based searching.19, 30, 31, 32”
Citations
Cites
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Google Scholar: the pros and the cons
Jacsó, P. (2005) · Online Information Review · doi:10.1108/14684520510598066 · Cited by 383 · cited 5×
“…2006; Haya et al., 2007; Herrera, 2007), citation-enhanced databases such as Web of Science and/or Scopus (Bauer and Bakkalbasi, 2005; Jacsó, 2005b; Jacsó, 2005c; Yang and Meho, 2006; Norris and Oppenheim, 2007), or with a mix of these and traditional scholarly indexing/abstracting databases…”
BackgroundMethodInfluentialSelf-citationGoogle Scholar: The New Generation of Citation Indexes
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Self-citationGoogle Scholar™ and libraries: point/counterpoint
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MetaSearching and Beyond: Implementation Experiences and Advice from an Academic Library
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Cited by
Sorted by citations
Gusenbauer, M., & Haddaway, N. R. (2020) · Research Synthesis Methods · doi:10.1002/jrsm.1378 · Cited by 2,379
A Review of Theory and Practice in Scientometrics
Mingers, J., & Leydesdorff, L. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.04.002 · Cited by 1,002
Gusenbauer, M. (2019) · Scientometrics · doi:10.1007/s11192-018-2958-5 · Cited by 687
Virtual and remote labs in education: A bibliometric analysis
Heradio, R., de la Torre, L., Galán, D., Cabrerizo, F. J., Herrera‐Viedma, E., & Dormido, S. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.03.010 · Cited by 651
The Use of Bibliometrics to Measure Research Performance in Education Sciences
Diem, A., & Wolter, S. C. (2012) · Research in Higher Education · doi:10.1007/s11162-012-9264-5 · Cited by 338
Metadata
- Authors
- Jacsó, P.
- Affiliations
- University of Hawaii System (US)
- Corresponding author
- Jacsó, Péter
- ORCID
- Jacsó, Péter
- Venue
- Online Information Review
- Publisher
- Emerald
- Published
- 2008-02-22
- Volume
- 32
- Issue
- 1
- Pages
- 102-114
- ISSN
- 1468-4527 (ISSN-L)
- OpenAlex
- W2102661446
- Cited by
- 206
- References
- 44
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 10 · 2023: 11 · 2022: 7 · 2021: 12 · 2020: 2 · 2019: 6 · 2018: 10 · 2017: 10 · 2016: 14 · 2015: 17 · 2014: 16 · 2013: 13 · 2012: 18
- FWCI
- 54.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Online Information Review (publishedVersion)
- Topics
- Social Sciences › Library and Information Sciences › Library Science and Information
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Keywords
- Google Scholar, Google Books, bibliographic search engines, duplicate records, journal indexing, search engine ranking, full-text search
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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