Uncertainty In Network Visualization
Uncertainty in Network Visualization is a research subfield of uncertainty visualization that investigates principles, models, and techniques for representing, quantifying, and communicating uncertainty in graph-structured data and their visual encodings, including uncertainties in nodes, edges, attributes, and network layouts.
11
Publications
363
Citations
50
Authors
21
Institutions
Publications per year
2017–2026
3
Parents
11
How to visually interpret biological data using networks
Daniele Merico, David Gfeller, Gary D. Bader · Nature Biotechnology · 2009 · 106 citations
Computing, Biology, Visualization +12
1–5 of 11
50
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1
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1–5 of 50
21
University of Stuttgart
Stuttgart, Germany
2 h-index
6 publications
160 citations
Brown University
Providence, United States
1 h-index
3 publications
177 citations
Lasbela University of Agriculture Water and Marine Science
Uthal, Pakistan
1 h-index
1 publications
13 citations
RWTH Aachen University
Aachen, Germany
1 h-index
4 publications
64 citations
Jülich Aachen Research Alliance
Jülich, Germany
1 h-index
6 publications
96 citations
Southwest University of Science and Technology
Mianyang, China
1 h-index
5 publications
65 citations

Pacific Northwest National Laboratory
Richland, United States
1 h-index
5 publications
120 citations

University of Freiburg
Freiburg im Breisgau, Germany
1 h-index
2 publications
20 citations
1–8 of 21
TVCG · 3 publications · 143 citations
3
h-index
2 publications · 29 citations
2
h-index
1 publications · 16 citations
1
h-index
1 publications · 106 citations
1
h-index
1 publications · 30 citations
1
h-index
1–5