Mapping Global Research Output in Big Data during 2007-16

The paper examines global research in big data, as covered in Scopus database 2007-16, on a series of bibliometric indicators. The study finds that big data registered exceedingly fast growth (135.2%), but averaged low citation impact per paper (3.75) and accounted for very low share of highly cited...

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Bibliographic Details
Main Authors: S.M. Dhawan, Brij Mohan Gupta, Ritu Gupta
Format: Article
Language:English
Published: Ital Publication 2018-07-01
Series:Emerging Science Journal
Subjects:
Online Access:https://ijournalse.org/index.php/ESJ/article/view/78
Description
Summary:The paper examines global research in big data, as covered in Scopus database 2007-16, on a series of bibliometric indicators. The study finds that big data registered exceedingly fast growth (135.2%), but averaged low citation impact per paper (3.75) and accounted for very low share of highly cited papers (0.86%) in 10 years. The study reports publication trends in big data research by top countries, top institutions, top authors, top journals, major subject areas, publication modes, and country-level share of international collaborative publications. The study concludes that big data is a subject of recent origin. Given its major potential to impact business, governance, society, healthcare, industry and many other sectors, big data is fast emerging as a major discipline of interest and importance to nations, corporates, and institutions across developed and fast emerging economies.
ISSN:2610-9182