Persistent Homology Visualization is a methodological framework in topology-based visualization that encodes the evolution of topological features across a filtration by graphically representing persistence intervals, thereby distinguishing itself from other visualization techniques through its focus on the lifespan of homological structures in filtered topological spaces.
39
Publications
2.3K
Citations
126
Authors
81
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Publications per year
2017–2026
23
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Publications
39
A roadmap for the computation of persistent homology
Nina Otter, Mason A. Porter, Ulrike Tillmann et al. · EPJ Data Science · 2017 · 761 citations · Full text
Interactive Visualization of 2-D Persistence Modules
Michael Lesnick, Matthew Wright · arXiv (Cornell University) · 2015 · 103 citations · Full text
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Authors
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1–5 of 126
Institutions
81
University of Utah
Salt Lake City, United States
3 h-index
4 publications
181 citations
Heidelberg University
Heidelberg, Germany
3 h-index
6 publications
272 citations
University of Bologna
Bologna, Italy
2 h-index
3 publications
73 citations
University of South Florida
Tampa, United States
2 h-index
3 publications
136 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
4 publications
156 citations
University of Arizona
Tucson, United States
2 h-index
2 publications
98 citations
Tokyo University of Science
Tokyo, Japan
2 h-index
7 publications
93 citations
University of Kaiserslautern
Kaiserslautern, Germany
2 h-index
6 publications
300 citations
1–8 of 81
Venues
- Pattern Recognition Letters
4 publications · 110 citations
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- IEEE Transactions on Visualization and Computer Graphics
TVCG · 3 publications · 146 citations
3
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- arXiv (Cornell University)
Repository · 2 publications · 130 citations
2
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- Computer Graphics Forum
2 publications · 81 citations
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- Expert Systems with Applications
1 publications · 126 citations
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