Topology-based Visualization
Topology-Based Visualization is a scientific visualization methodology that characterizes and renders complex data structures by extracting and depicting their underlying topological features, such as critical points, separatrices, and connected components, to reveal the inherent shape and connectivity of scalar fields.
517
Publications
63.7K
Citations
1.3K
Authors
525
Institutions
Publications per year
2017–2026
116
517
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Mingrui Xia, Jinhui Wang, Yong He · PLoS ONE · 2013 · 4.3K citations · Full text
Gunnar Carlsson · Bulletin of the American Mathematical Society · 2009 · 2.3K citations · Full text
1–5 of 517
1.3K
Lawrence Livermore National Laboratory, United States
22 publications · 1.6K citations
18
h-index
17
h-index
Lawrence Livermore National Laboratory, United States
15 publications · 1.3K citations
15
h-index
12
h-index
10
h-index
1–5 of 1.3K
525
University of Utah
Salt Lake City, United States
22 h-index
89 publications
4K citations
University of Kaiserslautern
Kaiserslautern, Germany
22 h-index
66 publications
3.7K citations
University of California, Davis
Davis, United States
20 h-index
44 publications
2.5K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
31 publications
1.5K citations

Lawrence Livermore National Laboratory
Livermore, United States
14 h-index
37 publications
1.9K citations
Stanford University
Stanford, United States
13 h-index
30 publications
6K citations
AT&T (United States)
Bedminster, United States
10 h-index
33 publications
2.5K citations
Eindhoven University of Technology
Eindhoven, The Netherlands
10 h-index
22 publications
2.9K citations
1–8 of 525
TVCG · 73 publications · 4.4K citations
39
h-index
30 publications · 2K citations
22
h-index
9 publications · 797 citations
10
h-index
10 publications · 1.1K citations
10
h-index
8 publications · 831 citations
8
h-index
1–5