Uncertainty Propagation Visualization
Uncertainty Propagation Visualization is a visualization approach that specifically represents how uncertainties in input data or model parameters evolve and influence outputs across computational or inferential processes, distinguishing itself from related uncertainty visualizations by emphasizing the dynamic transmission and transformation of uncertainty through chained or layered analytical steps.
6
Publications
818
Citations
17
Authors
7
Institutions
Publications per year
2017–2026
2
6
Approaches to uncertainty visualization
Alex Pang, Craig M. Wittenbrink, Suresh K. Lodha · The Visual Computer · 1997 · 542 citations
UFLOW: Visualizing Uncertainty in Fluid Flow
1996 · 89 citations
UFLOW: visualizing uncertainty in fluid flow
Suresh K. Lodha, Alex Pang, R. Sheehan et al. · 2002 · 67 citations
Mathias Kirchner, Hermine Mitter, Uwe A. Schneider et al. · Environmental Modelling & Software · 2020 · 55 citations · Full text
1–5 of 6
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University of California, Santa Cruz, United States
2 publications · 609 citations
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2
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1
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1
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1–5 of 17
7
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
7 publications
1.9K citations
Austrian Institute of Economic Research
Vienna, Austria
1 h-index
1 publications
55 citations
Universität Hamburg
Hamburg, Germany
1 h-index
1 publications
55 citations
University of California System
Oakland, United States
1 h-index
1 publications
49 citations
BOKU University
Vienna, Austria
1 h-index
4 publications
220 citations
University of California, Davis
Davis, United States
1 h-index
3 publications
147 citations
Technische Universität Dresden
Dresden, Germany
1 h-index
3 publications
48 citations
University of Stuttgart
Stuttgart, Germany
1 publications
23 citations
1–8 of 7
TVCG · 1 publications · 49 citations
1
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1 publications · 542 citations
1
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1 publications · 55 citations
1
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1 publications · 16 citations
1
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1 publications · 15 citations
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