Multimedia big data computing mechanisms: a bibliometric analysis

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Date

2023

Authors

Navimipour, Nima Jafari
Yalcin, Senay

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Springer

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Abstract

Massive multimedia data are being created due to the rising amount of the Internet and user-generated content, low-cost commodity devices with cameras (like cellphones, surveillance systems, and so on), and the proliferation of social networks, forming a unique type of big data. Several studies have been conducted in this research area using a survey and event analysis approach; however, none has been conducted to investigate the status of knowledge, its features, evolution, and emerging trend of multimedia big data. Therefore, in this paper, a bibliometric study using VOSviewer software is carried out with 1,865 documents from 2008 to 2020. Based on the result, 2013 is the starting year where the total publication excess of 100 articles and the configuration of leading countries, productive organizations, and authors are investigated. The most cited journals, popular publications venues, and hot research topics are also included in the investigations. Our investigation uncovered useful information, such as annual publishing patterns, the hottest research topic, the top 10 important authors and articles, and the most helpful funding organizations and venues.

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Science, Evolution, Multimedia, Big data, Science, Bibliometric, Evolution, Cloud computing

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0

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N/A

Scopus Q

Q1

Source

Multimedia Tools and Applications

Volume

82

Issue

2

Start Page

2765

End Page

2781