Interactive Uncertainty Visualization
Interactive Uncertainty Visualization is a scientific visualization method that enables users to dynamically explore, manipulate, and refine the representation of uncertain data through real-time user interactions, distinguishing it from static uncertainty visualizations by incorporating feedback-driven visual adjustments and interactive control over uncertainty presentation.
28
Publications
1.4K
Citations
95
Authors
50
Institutions
Publications per year
2017–2026
8
28
Matthew Kay, Tara Kola, Jessica Hullman et al. · 2016 · 246 citations
Procedural annotation of uncertain information
Andrej Cedilnik, Penny Rheingans · IEEE Visualization · 2000 · 78 citations
1–5 of 28
95
University of Maryland, Baltimore County, United States
3 publications · 255 citations
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2
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2
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2
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2
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1–5 of 95
50
University of Maryland, Baltimore County
Baltimore, United States
3 h-index
5 publications
388 citations
University of Washington
Seattle, United States
3 h-index
7 publications
1K citations
Microsoft (United States)
Redmond, United States
3 h-index
7 publications
228 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
65 citations
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
4 publications
142 citations
HafenCity University Hamburg
Hamburg, Germany
2 h-index
3 publications
37 citations
IITB-Monash Research Academy
Mumbai, India
1 h-index
5 publications
115 citations

University of Calgary
Calgary, Canada
1 h-index
1 publications
42 citations
1–8 of 50
TVCG · 3 publications · 257 citations
3
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2 publications · 65 citations
2
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2 publications · 63 citations
2
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Conference · 1 publications · 90 citations
1
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TAC · 1 publications · 13 citations
1
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1–5