Bibliometric Analysis and Systematic Literature Review on Data Visualization

被引：0
|
作者：
Kim, Byeongmok [1 ]
Kim, Yonggab [1 ]
Duffy, Vincent G. [1 ]
机构：
[1] Purdue Univ, W Lafayette, IN 47907 USA
来源：
DIGITAL HUMAN MODELING AND APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT, DHM 2023, PT II | 2023年 / 14029卷
关键词：
Data visualization; Job design; Human Factor; Human Computer Interaction;
D O I：
10.1007/978-3-031-35748-0_34
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study aims to investigate the literature review as a job and explore the research trend of data visualization. This study used various methods to perform a systematic literature review on data visualization. Metadata was abstracted from well-known research databases such as SCOPUS, Google Scholar, and Web of Science. The metadata was used for analysis by VOSviewer, MAXQDA, BibExcel, and Citespace. In conclusion, we discuss the research trend and anticipated future studies on data visualization.
引用
收藏
页码：490 / 502
页数：13
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