Visual Analytics For Uncertainty
Visual Analytics for Uncertainty is a subfield of visual analytics that integrates interactive visual representations and computational methods to enable the exploration, interpretation, and reasoning about uncertain data within analytical processes.
83
Publications
4.5K
Citations
311
Authors
135
Institutions
Publications per year
2017–2026
37
Variants
Visual Analytics Of Uncertainty
Parents
83
Visual Analytics for Explainable Deep Learning
Jaegul Choo · IEEE Computer Graphics and Applications · 2018 · 267 citations
Matthew Kay, Tara Kola, Jessica Hullman et al. · 2016 · 246 citations
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135

Zhejiang University
Hangzhou, China
6 h-index
20 publications
908 citations
University of Konstanz
Konstanz, Germany
6 h-index
12 publications
1.6K citations
University of California, Davis
Davis, United States
5 h-index
12 publications
536 citations

Pacific Northwest National Laboratory
Richland, United States
5 h-index
10 publications
807 citations
University of Maryland, College Park
College Park, United States
4 h-index
8 publications
138 citations
Arizona State University
Tempe, United States
3 h-index
4 publications
129 citations

Zhejiang University of Technology
Hangzhou, China
3 h-index
4 publications
398 citations
University of Stuttgart
Stuttgart, Germany
3 h-index
9 publications
317 citations
1–8 of 135
TVCG · 14 publications · 1K citations
13
h-index
7 publications · 173 citations
7
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5 publications · 358 citations
5
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3 publications · 93 citations
3
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Repository · 3 publications · 75 citations
3
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