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

Authors

35

  1. GK
    Gordon Kindlmann

    University of Chicago, United States

    2 publications · 341 citations

    2

    h-index

  2. DM
    David M. Weinstein

    University of Utah, United States

    2 publications · 341 citations

    2

    h-index

  3. EL
    Emma Lundberg

    KTH Royal Institute of Technology, Sweden

    1 publications · 149 citations

    1

    h-index

  4. LH
    L. Hesselink

    Stanford University, United States

    1 publications · 38 citations

    1

    h-index

  5. QL
    Qingshan Liu

    Nanjing University of Information Science and Technology, China

    1 publications · 32 citations

    1

    h-index

1–5 of 35

Venues

  1. IEEE Transactions on Medical Imaging

    1 publications · 32 citations

    1

    h-index

  2. CERN Document Server (European Organization for Nuclear Research)

    Repository · 1 publications · 47 citations

    1

    h-index

  3. Computer Graphics Forum

    1 publications · 11 citations

    1

    h-index

  4. Medical Image Analysis

    1 publications · 27 citations

    1

    h-index

  5. Glasgow Mathematical Journal

    1 publications · 11 citations

    1

    h-index

1–5