Graph Uncertainty Visualization is a visualization method that specifically represents uncertain attributes and structural ambiguities in attributed graphs by encoding uncertainty in node, edge, or attribute-level data within network visualizations.
8
Publications
296
Citations
31
Authors
17
Institutions
Publications per year
2017–2026
2
Publications
8
1–5 of 8
Authors
31
- LS
2
h-index
- RW
1
h-index
- SP
1
h-index
- MR
1
h-index
- DW
1
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1–5 of 31
Institutions
17
Georgetown University
Washington, United States
2 h-index
2 publications
32 citations
University of Maryland, Baltimore County
Baltimore, United States
1 h-index
1 publications
70 citations
University of California, Santa Cruz
Santa Cruz, United States
1 h-index
2 publications
34 citations
University of Science and Technology Chittagong
Chittagong, Bangladesh
1 h-index
1 publications
70 citations
Tsinghua University
Beijing, China
1 h-index
2 publications
140 citations
Brown University
Providence, United States
1 h-index
3 publications
177 citations
Adobe Systems (United States)
San Jose, United States
1 h-index
1 publications
45 citations
University of Utah
Salt Lake City, United States
1 h-index
5 publications
55 citations
1–8 of 17
Venues
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 5 publications · 253 citations
5
h-index
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
1 publications · 17 citations
1
h-index
- Journal of Computational and Graphical Statistics
JCGS · 1 publications · 11 citations
1
h-index
- Frontiers in Communication
1 publications · 12 citations
1–4