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

Author

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  • Franceschini, Fiorenzo
  • Maisano, Domenico
  • Mastrogiacomo, Luca

Abstract

In the last decade, a growing number of studies focused on the qualitative/quantitative analysis of bibliometric-database errors. Most of these studies relied on the identification and (manual) examination of relatively limited samples of errors.

Suggested Citation

  • Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "Empirical analysis and classification of database errors in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 10(4), pages 933-953.
    • Handle: RePEc:eee:infome:v:10:y:2016:i:4:p:933-953
    DOI: 10.1016/j.joi.2016.07.003
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    References listed on IDEAS

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    1. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
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    4. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2015. "Influence of omitted citations on the bibliometric statistics of the major Manufacturing journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1083-1122, June.
    5. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2016. "Do Scopus and WoS correct “old” omitted citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 321-335, May.
    6. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2015. "Errors in DOI indexing by bibliometric databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2181-2186, March.
    7. Ad A.M. Prins & Rodrigo Costas & Thed N. van Leeuwen & Paul F. Wouters, 2016. "Using Google Scholar in research evaluation of humanities and social science programs: A comparison with Web of Science data," Research Evaluation, Oxford University Press, vol. 25(3), pages 264-270.
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    9. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "The museum of errors/horrors in Scopus," Journal of Informetrics, Elsevier, vol. 10(1), pages 174-182.
    10. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    11. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2014. "Scientific journal publishers and omitted citations in bibliometric databases: Any relationship?," Journal of Informetrics, Elsevier, vol. 8(3), pages 751-765.
    12. Marlies Olensky & Marion Schmidt & Nees Jan Eck, 2016. "Evaluation of the citation matching algorithms of CWTS and iFQ in comparison to the Web of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(10), pages 2550-2564, October.
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    14. Valderrama-Zurián, Juan-Carlos & Aguilar-Moya, Remedios & Melero-Fuentes, David & Aleixandre-Benavent, Rafael, 2015. "A systematic analysis of duplicate records in Scopus," Journal of Informetrics, Elsevier, vol. 9(3), pages 570-576.
    15. Moed, Henk F. & Bar-Ilan, Judit & Halevi, Gali, 2016. "A new methodology for comparing Google Scholar and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 533-551.
    16. Lorna Wildgaard, 2015. "A comparison of 17 author-level bibliometric indicators for researchers in Astronomy, Environmental Science, Philosophy and Public Health in Web of Science and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 873-906, September.
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