Uncertainty Interpretation is a scholarly construct within the field of data visualization that specifies how individuals comprehend, reason about, and draw inferences from visual representations of uncertain data, distinguishing itself by focusing on the cognitive and perceptual processes involved in interpreting uncertainty as opposed to merely displaying or quantifying it.
124
Publications
8.1K
Citations
303
Authors
168
Institutions
Publications per year
2017–2026
35
Publications
124
The Purposes of Uncertainty Analysis
S. J. Kline · Journal of Fluids Engineering · 1985 · 570 citations
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Authors
303
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1–5 of 303
Institutions
168
University of Washington
Seattle, United States
8 h-index
14 publications
1.2K citations
Stanford University
Stanford, United States
4 h-index
4 publications
701 citations
The Ohio State University
Columbus, United States
4 h-index
5 publications
643 citations
Oregon Health & Science University
Portland, United States
4 h-index
4 publications
352 citations
University of Utah
Salt Lake City, United States
4 h-index
11 publications
645 citations
Pennsylvania State University
State College, United States
3 h-index
5 publications
1K citations
University of Wisconsin–Madison
Madison, United States
3 h-index
4 publications
955 citations
Birkbeck, University of London
London, United Kingdom
3 h-index
3 publications
101 citations
1–8 of 168
Venues
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 10 publications · 1.4K citations
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- Risk Analysis
5 publications · 221 citations
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- Journal of Experimental Psychology Applied
3 publications · 97 citations
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- First Break
3 publications · 185 citations
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- Cognition & Emotion
2 publications · 104 citations
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