Tensor Visualization

Tensor Visualization is a computational method for representing and analyzing second- or higher-order tensor fields in three-dimensional space, distinguished by its ability to depict directional properties and multivariate relationships inherent in tensor data through glyph-based, streamline, or volumetric rendering techniques.

66

Publications

5.2K

Citations

159

Authors

68

Institutions

Publications per year

2017–2026

7

Variants

Tensor Field Visualization

Authors

159

  1. GK
    Gordon Kindlmann

    University of Chicago, United States

    7 publications · 615 citations

    7

    h-index

  2. GS
    Gerik Scheuermann

    Leipzig University, Germany

    6 publications · 181 citations

    6

    h-index

  3. TS
    Thomas Schultz

    University of Bonn, Germany

    5 publications · 241 citations

    5

    h-index

  4. AP
    Alex Pang

    University of California, Santa Cruz, United States

    5 publications · 131 citations

    5

    h-index

  5. IH
    Ingrid Hotz

    Linköping University, Sweden

    4 publications · 160 citations

    4

    h-index

1–5 of 159

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 12 publications · 718 citations

    12

    h-index

  2. Computer Graphics Forum

    9 publications · 215 citations

    9

    h-index

  3. IEEE Visualization

    Conference · 3 publications · 132 citations

    3

    h-index

  4. 2

    h-index

  5. IEEE Computer Graphics and Applications

    2 publications · 255 citations

    2

    h-index

1–5