Tensor Field Classification
Tensor Field Classification is a methodological framework in scientific visualization that categorizes tensor fields based on their intrinsic structural and directional properties to facilitate the analysis and interpretation of complex multidimensional data.
14
Publications
712
Citations
35
Authors
20
Institutions
Publications per year
2017–2026
3
Parents
14
1–5 of 14
35
2
h-index
2
h-index
1
h-index
1
h-index
Nanjing University of Information Science and Technology, China
1 publications · 32 citations
1
h-index
1–5 of 35
20
University of Utah
Salt Lake City, United States
3 h-index
6 publications
885 citations
National Centre of Scientific Research "Demokritos"
Athens, Greece
2 h-index
2 publications
89 citations
The Ohio State University
Columbus, United States
1 h-index
9 publications
243 citations

Universidad Carlos III de Madrid
Madrid, Spain
1 h-index
1 publications
14 citations
Steklov Mathematical Institute
Moscow, Russia
1 h-index
1 publications
22 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
3 publications
96 citations
Applied Mathematics (United States)
Gales Ferry, United States
1 h-index
1 publications
11 citations
Stanford University
Stanford, United States
1 h-index
1 publications
38 citations
1–8 of 20
1 publications · 32 citations
1
h-index
Repository · 1 publications · 47 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 27 citations
1
h-index
1 publications · 11 citations
1
h-index
1–5