Multimedia big data computing mechanisms: a bibliometric analysis
Loading...
Files
Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
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.
Description
ORCID
Keywords
Science, Evolution, Multimedia, Big data, Science, Bibliometric, Evolution, Cloud computing
Turkish CoHE Thesis Center URL
Fields of Science
Citation
0
WoS Q
N/A
Scopus Q
Q1
Source
Multimedia Tools and Applications
Volume
82
Issue
2
Start Page
2765
End Page
2781