Emerging trends and global scope of big data analytics: a scientometric analysis

The primary sources of big data nowadays are from cloud computing, social networks, and the internet of things, and henceforth the data analytics has gained popularity these days, with the increasing demand for these technologies. This study presents scientometric analysis to identify overall growth...

Full description

Saved in:
Bibliographic Details
Published inQuality & quantity Vol. 55; no. 4; pp. 1371 - 1396
Main Authors Rawat, Keshav Singh, Sood, Sandeep Kumar
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.08.2021
Springer
Springer Nature B.V
Subjects
Analysis
Bibliometrics
Big Data
Comorbidity
Data analysis
Distribution
Methodology of the Social Sciences
Popularity
Productivity
Scientometrics
Social networks
Social Sciences
Trends
Data analytics
Big data
Scientometric
Citation analysis
Emerging trends
VOSviewer
Online AccessGet full text
ISSN0033-5177
1573-7845
DOI10.1007/s11135-020-01061-y

Cover

More Information
Summary:The primary sources of big data nowadays are from cloud computing, social networks, and the internet of things, and henceforth the data analytics has gained popularity these days, with the increasing demand for these technologies. This study presents scientometric analysis to identify overall growth, emerging trends, and global scope of data analytics research during 2010–2019. This study uses a bibliometric database retrieved from the Scopus in CSV files that contain bibliographic information. This study provides a detailed look of bibliometric features of Scopus indexed documents and analyses bibliometric networks to identify the hidden information from the downloaded dataset. This study focuses on the research publication growth, subject categories, geographical distribution, citation, and productivity parameters of bibliometric data. Furthermore, it identifies significant major contributors, highly cited publications, prominent journals, influential institutes, and research collaborations. This study also reveals research frontiers,and hotspots of data analytics research by analyzing keyword co-occurrence using VOSviewer. The outcomes of this study present the applications, emerging trends, and global research landscape over the last decade that help to understand fundamental research and the directions of future research in this field.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0033-5177
1573-7845
DOI:10.1007/s11135-020-01061-y