Feature Extraction in Vector Fields is a computational methodology within vector field visualization that identifies and isolates salient structural elements, such as critical points, separatrices, and vortices, by applying mathematical and algorithmic criteria to reveal underlying flow patterns.
53
Publications
2.5K
Citations
130
Authors
82
Institutions
Publications per year
2017–2026
9
Parents
Publications
53
Visualizing features and tracking their evolution
Ravi Samtaney, D. Silver, Norman J. Zabusky et al. · Computer · 1994 · 190 citations
1–5 of 53
Authors
130
- HT
6
h-index
- TW
5
h-index
- GS
4
h-index
- HH
3
h-index
- HS
3
h-index
1–5 of 130
Institutions
82
University of Kaiserslautern
Kaiserslautern, Germany
3 h-index
4 publications
198 citations
Leipzig University
Leipzig, Germany
3 h-index
7 publications
374 citations
University of Utah
Salt Lake City, United States
3 h-index
9 publications
349 citations
Zuse Institute Berlin
Berlin, Germany
3 h-index
9 publications
423 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
3 h-index
6 publications
220 citations
University of California, Santa Cruz
Santa Cruz, United States
3 h-index
4 publications
192 citations
Delft University of Technology
Delft, The Netherlands
2 h-index
5 publications
136 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
2 h-index
2 publications
148 citations
1–8 of 82
Venues
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 13 publications · 736 citations
14
h-index
- Computer Graphics Forum
5 publications · 144 citations
5
h-index
- Pattern Recognition
3 publications · 68 citations
3
h-index
- IEEE Transactions on Geoscience and Remote Sensing
2 publications · 24 citations
2
h-index
- Figshare
Repository · 1 publications · 34 citations
1
h-index
1–5