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 |