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Automatic Merging of Scopus and Web of Science Data for Simplified and Effective Bibliometric Analysis

Author

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  • HimaJyothi Kasaraneni

    (VIT-AP University)

  • Salini Rosaline

    (VIT-AP University)

Abstract

The desideratum of organizing and synthesizing the rising corpus of publications has prompted an escalation in bibliometric studies. Bibliometric analysis is an essential statistical tool that ascertains critical information for identifying research prospects for researchers. Besides, it acts as evidence to support scientific findings. Researchers primarily use either Scopus or Web of Science (WoS) databases for conducting bibliometric analysis. The individual usage of these databases in the bibliometric analysis does not achieve the desired outcome, which requires the merging of these two databases. There are several manual processes defined in the literature for merging Scopus and WoS data. However, all these manual procedures consume more time and may lead to an inaccurate merging of the databases, as they often involve human errors due to difficulty in data scrutinization. Hence, to avoid the manual process, this paper proposes an automatic process for merging Scopus and WoS data. To understand the importance of the proposed process, a small (40 records) and large (2344 records) dataset cases are considered on which both the manual and automatic processes are implemented. From the simulation results, it is observed that the proposed process consumed 0.4497659 s on small dataset and 1.715981 s on large dataset for merging process. Thus, it can be said that the proposed automatic merging process is an effective and time-saving approach that significantly reduces human effort and the risk of committing an error. The outcome of this process is a merged dataset that includes unique data of both Scopus and WoS databases.

Suggested Citation

  • HimaJyothi Kasaraneni & Salini Rosaline, 2024. "Automatic Merging of Scopus and Web of Science Data for Simplified and Effective Bibliometric Analysis," Annals of Data Science, Springer, vol. 11(3), pages 785-802, June.
    • Handle: RePEc:spr:aodasc:v:11:y:2024:i:3:d:10.1007_s40745-022-00438-0
    DOI: 10.1007/s40745-022-00438-0
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    References listed on IDEAS

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    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Saulo Cardoso Maia & Gideon Carvalho Benedicto & José Willer Prado & David Alastair Robb & Oscar Neto Almeida Bispo & Mozar José Brito, 2019. "Mapping the literature on credit unions: a bibliometric investigation grounded in Scopus and Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 929-960, September.
    3. Anh Nguyen Quoc & Dai Nguyen Van & Nu Nguyet Anh Nguyen, 2021. "Entrepreneurship, family and migration: a systematic literature review on Vietnamese migrant entrepreneurship," Journal of Enterprising Communities: People and Places in the Global Economy, Emerald Group Publishing Limited, vol. 17(1), pages 125-157, May.
    4. David L. Olson & Dursun Delen, 2008. "Advanced Data Mining Techniques," Springer Books, Springer, number 978-3-540-76917-0, April.
    5. Caputo, Andrea & Pizzi, Simone & Pellegrini, Massimiliano M. & Dabić, Marina, 2021. "Digitalization and business models: Where are we going? A science map of the field," Journal of Business Research, Elsevier, vol. 123(C), pages 489-501.
    6. Anh Nguyen Quoc & Dai Nguyen Van & Nu Nguyet Anh Nguyen, 2021. "Entrepreneurship, family and migration: a systematic literature review on Vietnamese migrant entrepreneurship," Journal of Enterprising Communities: People and Places in the Global Economy, Emerald Group Publishing Limited, vol. 17(1), pages 125-157, May.
    7. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    8. James M. Tien, 2017. "Internet of Things, Real-Time Decision Making, and Artificial Intelligence," Annals of Data Science, Springer, vol. 4(2), pages 149-178, June.
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    Cited by:

    1. Altan Başaran, 2025. "Digital Nomads, the New Frontier of Work in the Digital Age: A Bibliometric Analysis," Sustainability, MDPI, vol. 17(5), pages 1-21, February.

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