Ensemble Visualization
Ensemble Visualization is a method within the field of uncertainty visualization that integrates multiple related data realizations or simulations to characterize and communicate spatial and probabilistic uncertainty, particularly in multivariate, scientific, and risk contexts, by visually encoding variability, coherence, and likelihood across the ensemble members.
47
Publications
2.8K
Citations
135
Authors
62
Institutions
Publications per year
2017–2026
13
47
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
Kristin Potter, Andrew T. Wilson, Peer‐Timo Bremer et al. · 2009 · 228 citations
Justin Talbot, Bongshin Lee, Ashish Kapoor et al. · 2009 · 227 citations
1–5 of 47
135
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62
University of Utah
Salt Lake City, United States
11 h-index
33 publications
2.8K citations
Technical University of Munich
Munich, Germany
7 h-index
21 publications
1.3K citations
University of California, Davis
Davis, United States
5 h-index
15 publications
580 citations
North Carolina State University
Raleigh, United States
4 h-index
10 publications
315 citations
The Ohio State University
Columbus, United States
4 h-index
12 publications
1K citations

Peking University
Beijing, China
4 h-index
9 publications
205 citations
Argonne National Laboratory
Lemont, United States
3 h-index
4 publications
61 citations
Clemson University
Clemson, United States
3 h-index
5 publications
480 citations
1–8 of 62
TVCG · 22 publications · 1.6K citations
19
h-index
2 publications · 61 citations
2
h-index
2 publications · 112 citations
2
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2 publications · 82 citations
2
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1 publications · 33 citations
1
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1–5