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Growth of Big Data Research Productivity: A Scientometric Analysis

Journal: IMPACT : International Journal of Research in Humanities, Arts and Literature (IMPACT : IJRHAL) (Vol.10, No. 3)

Publication Date:

Authors : ; ;

Page : 33-42

Keywords : Scientometrics; Big Data; Bibliometrix; Authorship Pattern;

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Abstract

This study examined the growth rate of Big Data research literature over the period 2001 to 2020. Data were extracted from WoS and Scopus Databases and merged with Bibliometrics, R programming. Collected data further refined and remove duplicate records and finally analyzed a total of 19667 research papers. This study aims to determine various scientometric indicators, including the year-wise distribution of records, annual growth rate, compound annual growth rate, authorship pattern, etc., This article shows an increase in publications

Last modified: 2022-04-30 18:38:45