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Table 1 Bibliometric studies for Big Data research

From: Bibliometric mining of research directions and trends for big data

Ref.

#Docs

Databases

Tools/Graphs

Parameters analyzed

Years

[9]

4524

Scopus

VOSviewer, line, pie and bar charts

Research productivity, subject categories, geographic distribution, and citations

2010–2019

[8]

16,016

WoS and CNKI

CiteSpace and bar charts

Citations, geographic distribution

2008–2017

[10]

7299

WoS

Line charts

Relation between Big Data and Data Science

2006–2019

[7]

25,334

Scopus

VOSviewer, line and bar charts

Research productivity, trends, publication sources, geographic distribution, and citations

2010–2016

[11]

24,662

ACM Dig. Library, IEEE Xplore, SAGE Journals, ScienceDirect and WoS

Line charts

Research productivity, journals, keywords, Big Data frameworks and research challenges

2000–2017

[6]

334

WoS

VOSviewer, CiteSpace, and line charts

Citations, research hotspots and trends

2010–2022

[12]

7274

Scopus

Line, pie and bar charts

Research productivity, journals, articles, authors, and geographic distribution

2009–2018

[13]

10,989

Science Citation Index and Social Science Citation Index

VOSviewer and bar charts

Journals, geographic distribution, keywords, research hotspots and trends

2009–2018

[14]

6572

WoS

Microsoft Excel, bar charts and world map

Trends, research areas, geographic distribution, journals, authors, keywords, and citations

1980–2015

[15]

5840

WoS

VOSviewer and bar charts

Citation analysis, geographic distribution, and evolutionary pathways

2000–2015

[16]

7520

WoS and Scopus

Line charts and word clouds

Citations and research themes

2001–2016

[17]

693

ScienceDirect

Kiviat charts and bar charts

Research productivity, trends, hot topics, authors, and journals

2006–2016

[18]

4070

Scopus

Line, bar and pie chart, and word cloud

Research productivity, geographic distribution, and research areas.

2013–2018