Uncertainty Metrics
Uncertainty Metrics is a quantitative framework used in scientific visualization to characterize the nature, magnitude, and structure of uncertainty in data and visual representations, distinguishing itself by systematically formalizing how uncertainty is measured, classified, and communicated within visual analysis contexts.
113
Publications
6.3K
Citations
377
Authors
179
Institutions
Publications per year
2017–2026
59
113
Uncertainty quantification in particle image velocimetry
Andrea Sciacchitano · Measurement Science and Technology · 2019 · 244 citations · Full text
Computing, Biophysics, Physics +13
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179
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
10 publications
1.4K citations
University of Utah
Salt Lake City, United States
4 h-index
9 publications
1.3K citations
University of Maryland, College Park
College Park, United States
3 h-index
8 publications
188 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
4 publications
292 citations
The Ohio State University
Columbus, United States
2 h-index
2 publications
116 citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
91 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
5 publications
88 citations
Friedrich Schiller University Jena
Jena, Germany
2 h-index
6 publications
330 citations
1–8 of 179
Repository · 6 publications · 204 citations
6
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4 publications · 312 citations
4
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3 publications · 148 citations
3
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3 publications · 342 citations
3
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3 publications · 288 citations
3
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1–5