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Assessing the scholarly impact of information studies: A tale of two citation databases—Scopus and Web of Science

Author

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  • Lokman I. Meho
  • Cassidy R. Sugimoto

Abstract

This study uses citations, from 1996 to 2007, to the work of 80 randomly selected full‐time, information studies (IS) faculty members from North America to examine differences between Scopus and Web of Science in assessing the scholarly impact of the field focusing on the most frequently citing journals, conference proceedings, research domains and institutions, as well as all citing countries. Results show that when assessment is limited to smaller citing entities (e.g., journals, conference proceedings, institutions), the two databases produce considerably different results, whereas when assessment is limited to larger citing entities (e.g., research domains, countries), the two databases produce very similar pictures of scholarly impact. In the former case, the use of Scopus (for journals and institutions) and both Scopus and Web of Science (for conference proceedings) is necessary to more accurately assess or visualize the scholarly impact of IS, whereas in the latter case, assessing or visualizing the scholarly impact of IS is independent of the database used.

Suggested Citation

  • Lokman I. Meho & Cassidy R. Sugimoto, 2009. "Assessing the scholarly impact of information studies: A tale of two citation databases—Scopus and Web of Science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(12), pages 2499-2508, December.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:12:p:2499-2508
    DOI: 10.1002/asi.21165
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    Cited by:

    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.
    2. Vítor Vasata Macchi Silva & José Luis Duarte Ribeiro & Gonzalo Rubén Alvarez & Sonia Elisa Caregnato, 2019. "Competence-Based Management Research in the Web of Science and Scopus Databases: Scientific Production, Collaboration, and Impact," Publications, MDPI, vol. 7(4), pages 1-21, September.
    3. Gagolewski, Marek & Mesiar, Radko, 2012. "Aggregating different paper quality measures with a generalized h-index," Journal of Informetrics, Elsevier, vol. 6(4), pages 566-579.
    4. Gagolewski, Marek, 2011. "Bibliometric impact assessment with R and the CITAN package," Journal of Informetrics, Elsevier, vol. 5(4), pages 678-692.
    5. Magnus Eriksson & Annika Billhult & Tommy Billhult & Elena Pallari & Grant Lewison, 2020. "A new database of the references on international clinical practice guidelines: a facility for the evaluation of clinical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1221-1235, February.
    6. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    7. Gokhan Aykac, 2021. "The value of an overseas research trip," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7097-7122, August.
    8. Zhenyue Zhao & Xuelian Pan & Weina Hua, 2021. "Comparative analysis of the research productivity, publication quality, and collaboration patterns of top ranked library and information science schools in China and the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 931-950, February.
    9. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    10. Luis Puente & Cielo Char & Devansh Patel & Malinda S. Thilakarathna & M. S. Roopesh, 2024. "Research Trends and Development Patterns in Microgreens Publications: A Bibliometric Study from 2004 to 2023," Sustainability, MDPI, vol. 16(15), pages 1-17, August.
    11. A. Abrizah & A. N. Zainab & K. Kiran & R. G. Raj, 2013. "LIS journals scientific impact and subject categorization: a comparison between Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 721-740, February.
    12. Jean A. Pratt & Karina Hauser & Cassidy R. Sugimoto, 2012. "Defining the intellectual structure of information systems and related college of business disciplines: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 279-304, November.
    13. Tomaz Bartol & Gordana Budimir & Doris Dekleva-Smrekar & Miro Pusnik & Primoz Juznic, 2014. "Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1491-1504, February.
    14. Shir Aviv-Reuven & Ariel Rosenfeld, 2023. "A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 157-175, January.
    15. 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.

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