Scientometric Analysis and Visualization of Global Research on Big Data

Nayak, Satyajit, Parida, Dillip Kumar, Patel, Avadhesh Kumar and Ranjan, Abhishek . Scientometric Analysis and Visualization of Global Research on Big Data., 2024 In: Advancements in Library and Information Science in Contemporary Era. UNSPECIFIED, pp. 259-271. [Book chapter]

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English abstract

This study examines the growth and development of big data research using a quantitative scientometric approach. Data from 1,346 Scopus records (2013–June 2022) were analyzed using MS Excel and VOSviewer (1.16.6). Research output increased rapidly until 2019 but declined in 2020, possibly due to COVID-19. The highest collaboration degree was recorded in 2022 (0.96), while the 2019 article CellMarker: A manually curated resource of cell markers in human and mouse received 252 citations. The study shows how scientometric analysis helps identify leading countries and institutions in big data research.

Item type: Book chapter
Keywords: Big data, scientometric, degree of collaboration, collaborative index, co-authorship index, rate of single authorship
Subjects: B. Information use and sociology of information
B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Unnamed user with email ayush.bhu21@gmail.com
Date deposited: 13 May 2026 07:55
Last modified: 13 May 2026 07:55
URI: http://hdl.handle.net/10760/47769

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