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Empirical analysis and classification of database errors in Scopus and Web of Science · Study

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Empirical analysis and classification of database errors in Scopus and Web of Science

Fiorenzo Franceschini, Domenico Augusto Maisano, Luca Mastrogiacomo

2016-09-13articleJournal of Informetrics223 citationsgreen

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scientometrics and bibliometrics research Library Science and Information Systems Web visibility and informetrics

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References

2015The journal coverage of Web of Science and Scopus: a comparative analysis

2015Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison

2007Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar

2009Comparing bibliometric statistics obtained from the Web of Science and Scopus

2016Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus

2002The impact-factors debate: the ISI's uses and limits

2008The top-ten in journal impact factor manipulation

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2017A fast method for identifying worldwide scientific collaborations using the Scopus database

2018Trends in Russian research output indexed in Scopus and Web of Science

2019BANKING SECTOR PERFORMANCE, PROFITABILITY, AND EFFICIENCY: A CITATION‐BASED SYSTEMATIC LITERATURE REVIEW

2020Comparison of bibliographic data sources: Implications for the robustness of university rankings

Details

Year2016

Typearticle

VenueJournal of Informetrics

Languageen

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Identifiers

doi10.1016/j.joi.2016.07.003

openalex_workW2520427567

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