Integral Curve Visualization

Integral Curve Visualization is a method in multiscale flow visualization that constructs and renders trajectories of fluid particles over time to reveal coherent structures and dynamic behaviors in vector fields by integrating velocity data across spatial and temporal domains.

14

Publications

711

Citations

36

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

36

  1. DH
    David H. Laidlaw

    Brown University, United States

    4 publications · 258 citations

    4

    h-index

  2. JS
    James S. Davidson

    University of Cape Town, South Africa

    3 publications · 212 citations

    3

    h-index

  3. RM
    Robert M. Kirby

    University of Utah, United States

    3 publications · 212 citations

    3

    h-index

  4. TS
    Timothy S. Miller

    Brown University, United States

    3 publications · 212 citations

    3

    h-index

  5. MJ
    M. J. Tarr

    Brown University, United States

    3 publications · 212 citations

    3

    h-index

1–5 of 36

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 211 citations

    3

    h-index

  2. Computer Graphics Forum

    2 publications · 27 citations

    2

    h-index

  3. 1

    h-index

  4. Electronic Imaging

    1 publications · 11 citations

    1

    h-index

  5. ACM Transactions on Graphics

    TOG · 1 publications · 31 citations

    1

    h-index

1–5