Space-time Flow Visualization

Space-Time Flow Visualization is a computational visualization framework that extends traditional flow visualization techniques by integrating temporal evolution as a spatial dimension, enabling the simultaneous representation of unsteady flow dynamics across both space and time within a unified four-dimensional space-time domain.

9

Publications

167

Citations

15

Authors

7

Institutions

Publications per year

2017–2026

2

Authors

15

  1. DS
    D. Silver

    Rutgers, The State University of New Jersey, United States

    2 publications · 64 citations

    2

    h-index

  2. YC
    Yuzhou Chen

    University of South Florida, United States

    1 publications · 19 citations

    1

    h-index

  3. MT
    M. Tadjfar

    Amirkabir University of Technology, Iran

    1 publications · 15 citations

    1

    h-index

  4. RT
    Ran Tao

    University of South Florida, United States

    1 publications · 19 citations

    1

    h-index

  5. FZ
    Feng Zhao

    Microsoft Research Asia (China), China

    1 publications · 15 citations

    1

    h-index

1–5 of 15

Venues

  1. Procedia Computer Science

    1 publications · 13 citations

    1

    h-index

  2. Advances in Complex Systems

    ACS · 1 publications · 18 citations

    1

    h-index

  3. Computers Environment and Urban Systems

    1 publications · 19 citations

    1

    h-index

  4. Journal of Visualization

    1 publications · 15 citations

    1

    h-index

  5. IEEE Visualization

    Conference · 1 publications · 11 citations

    1

    h-index

1–5