Hierarchical Uncertainty Visualization is a visualization framework that integrates uncertainty representation within hierarchical data structures, distinguishing itself by explicitly encoding uncertainty at multiple levels of the hierarchy to support accurate perception and reasoning about nested probabilistic or imprecise relationships.
6
Publications
264
Citations
21
Authors
12
Institutions
Publications per year
2017–2026
3
Publications
6
Recent advances and challenges in uncertainty visualization: a survey
Aasim Kamal, Parashar Dhakal, Ahmad Y. Javaid et al. · Journal of Visualization · 2021 · 71 citations
1–5 of 6
Authors
21
- MC
2
h-index
- BL
2
h-index
- GG
2
h-index
- CP
2
h-index
- AK
1
h-index
1–5 of 21
Institutions
12
Microsoft (United States)
Redmond, United States
2 h-index
6 publications
195 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
65 citations
University of Konstanz
Konstanz, Germany
1 h-index
1 publications
83 citations
The Ohio State University
Columbus, United States
1 h-index
3 publications
33 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
2 publications
166 citations
Human Computer Interaction (Switzerland)
Zurich, Switzerland
1 h-index
1 publications
31 citations
Mississippi State University
Starkville, United States
1 h-index
2 publications
68 citations
EMAG Technologies (United States)
Ann Arbor, United States
1 h-index
2 publications
142 citations
1–8 of 12
Venues
- Information Visualization
2 publications · 65 citations
2
h-index
- International Journal for Uncertainty Quantification
1 publications · 34 citations
1
h-index
- Journal of Visualization
1 publications · 71 citations
1
h-index
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 1 publications · 83 citations
1
h-index
- it - Information Technology
1 publications · 15 citations
1–5