Motion-based Flow Visualization

Motion-Based Flow Visualization is a visualization technique that employs motion cues, such as particle advection or animated textures, to represent the dynamic behavior of vector fields over time, distinguishing itself from static or glyph-based methods by explicitly encoding flow motion through temporal animation.

9

Publications

267

Citations

22

Authors

11

Institutions

Publications per year

2017–2026

0

Authors

22

  1. GE
    Gordon Erlebacher

    Florida State University, United States

    2 publications · 74 citations

    2

    h-index

  2. BJ
    Bruno Jobard

    Université de Pau et des Pays de l'Adour, France

    2 publications · 74 citations

    2

    h-index

  3. MK
    Ming-Hoe Kiu

    Mississippi State University, United States

    2 publications · 81 citations

    2

    h-index

  4. MY
    M. Yousuff Hussaini

    Florida State University, United States

    2 publications · 74 citations

    2

    h-index

  5. LX
    Liwei Xu

    Beijing Electronic Science and Technology Institute, China

    1 publications · 17 citations

    1

    h-index

1–5 of 22

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 54 citations

    1

    h-index

  2. 1

    h-index

  3. IEEE Visualization

    Conference · 1 publications · 47 citations

    1

    h-index

  4. IEEE Transactions on Power Systems

    1 publications · 15 citations

    1

    h-index

  5. Journal of Fluid Mechanics

    1 publications · 12 citations

    1

    h-index

1–5