Probabilistic Visual Analytics
Probabilistic Visual Analytics is a visual analytics approach that integrates probabilistic models to represent and reason about uncertainty in data, distinguishing itself by enabling interactive visualization and analysis of probabilistic outcomes and their underlying distributions.
9
Publications
459
Citations
32
Authors
25
Institutions
Publications per year
2017–2026
4
9
1–5 of 9
32
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 32
25
Microsoft (United States)
Redmond, United States
3 h-index
6 publications
689 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
48 citations

TU Wien
Vienna, Austria
1 h-index
1 publications
18 citations
Fraunhofer Institute for Intelligent Analysis and Information Systems
Sankt Augustin, Germany
1 h-index
3 publications
144 citations
University of Bonn
Bonn, Germany
1 h-index
1 publications
48 citations
New York University
New York, United States
1 h-index
1 publications
25 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
1 publications
22 citations
Universidad de Buenos Aires
Buenos Aires, Argentina
1 h-index
1 publications
18 citations
1–8 of 25
TVCG · 2 publications · 70 citations
2
h-index
1 publications · 13 citations
1
h-index
1 publications · 42 citations
1
h-index
1 publications · 195 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5