Ambiguity Visualization
Ambiguity Visualization is a probabilistic visualization approach that specifically represents uncertainty arising from multiple plausible interpretations or non-unique outcomes in data, distinguishing itself by explicitly encoding epistemic indeterminacy rather than aleatorichance variation.
11
Publications
686
Citations
22
Authors
10
Institutions
Publications per year
2017–2026
3
Parents
11
Tong Gao, Mira Dontcheva, Eytan Adar et al. · 2015 · 239 citations
Edwin G. Boring · The American Journal of Psychology · 1930 · 177 citations
1–5 of 11
22
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h-index
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1–5 of 22
10
University of Washington
Seattle, United States
1 h-index
2 publications
38 citations
University of Illinois System
Urbana, United States
1 h-index
1 publications
239 citations
Adobe Systems (United States)
San Jose, United States
1 h-index
2 publications
478 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
1 publications
84 citations
University of Michigan
Ann Arbor, United States
1 h-index
2 publications
478 citations
University of Minnesota System
Minneapolis, United States
1 h-index
2 publications
72 citations

The Nature Conservancy
Arlington, United States
1 h-index
1 publications
11 citations
Seattle University
Seattle, United States
1 h-index
1 publications
30 citations
1–8 of 10
1 publications · 17 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 35 citations
1
h-index
1 publications · 19 citations
1
h-index
1 publications · 84 citations
1
h-index
1–5