Visual Knowledge Discovery
Visual Knowledge Discovery is an academic concept referring to a scholarly contribution that constitutes a method, model, framework, theory, construct, dataset, task, or metric designed to enable the detection, interpretation, and communication of previously unknown patterns, relationships, or insights in complex data through visual representations.
117
Publications
5K
Citations
356
Authors
160
Institutions
Publications per year
2017–2026
34
Parents
117
NEIL: Extracting Visual Knowledge from Web Data
Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta · 2013 · 450 citations
Alfred Inselberg · 2002 · 230 citations
1–5 of 117
356
3
h-index
3
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2
h-index
2
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2
h-index
1–5 of 356
160
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
4 publications
111 citations

University of Electro-Communications
Tokyo, Japan
3 h-index
3 publications
84 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
6 publications
200 citations
University of Arizona
Tucson, United States
2 h-index
3 publications
515 citations

Central Washington University
Ellensburg, United States
2 h-index
2 publications
36 citations

University of North Carolina at Charlotte
Charlotte, United States
2 h-index
4 publications
188 citations
China University of Mining and Technology
Xuzhou, China
2 h-index
7 publications
170 citations

Johannes Kepler University of Linz
Linz, Austria
2 h-index
6 publications
309 citations
1–8 of 160
5 publications · 102 citations
5
h-index
ESPR · 3 publications · 74 citations
3
h-index
2 publications · 68 citations
2
h-index
2 publications · 33 citations
2
h-index
JVLC · 2 publications · 37 citations
2
h-index
1–5