Eigenvalue Visualization

Eigenvalue Visualization is a method within tensor field visualization that represents the scalar values derived from the spectral decomposition of tensor fields to reveal directional properties and structural features of the underlying data.

19

Publications

937

Citations

52

Authors

30

Institutions

Publications per year

2017–2026

2

Authors

52

  1. HY
    Harry Yeh

    Oregon State University, United States

    4 publications · 126 citations

    4

    h-index

  2. RS
    Robert S. Laramee

    Swansea University, United Kingdom

    4 publications · 126 citations

    4

    h-index

  3. EZ
    Eugene Zhang

    Oregon State University, United States

    3 publications · 72 citations

    3

    h-index

  4. YZ
    Yue Zhang

    Oregon State University, United States

    2 publications · 41 citations

    2

    h-index

  5. TS
    Thomas Schultz

    University of Bonn, Germany

    2 publications · 140 citations

    2

    h-index

1–5 of 52

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 237 citations

    5

    h-index

  2. Journal of Applied Geophysics

    1 publications · 58 citations

    1

    h-index

  3. Chinese Journal of Mechanical Engineering

    1 publications · 14 citations

    1

    h-index

  4. The Journal of Physical Chemistry B

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5