Seed Point Placement

Seed Point Placement is a computational method in streamline visualization that determines the initial positions for integrating streamlines within a vector field, distinguished by its strategic selection of seed points to optimize coverage, accuracy, and perceptual clarity of the resulting flow representation.

111

Publications

4.5K

Citations

419

Authors

181

Institutions

Publications per year

2017–2026

22

Authors

419

  1. MZ
    Marco Zaider

    Memorial Sloan Kettering Cancer Center, United States

    4 publications · 158 citations

    4

    h-index

  2. BP
    Bing Pan

    Beihang University, China

    3 publications · 93 citations

    3

    h-index

  3. EK
    Eva K. Lee

    Georgia Institute of Technology, United States

    3 publications · 127 citations

    3

    h-index

  4. JD
    Jamshid Dehmeshki

    Kingston University, United Kingdom

    2 publications · 293 citations

    2

    h-index

  5. VP
    Valerio Pascucci

    Lawrence Livermore National Laboratory, United States

    2 publications · 217 citations

    2

    h-index

1–5 of 419

Venues

  1. 7

    h-index

  2. Medical Physics

    5 publications · 403 citations

    5

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 302 citations

    5

    h-index

  4. IEEE Transactions on Medical Imaging

    4 publications · 429 citations

    4

    h-index

  5. 4

    h-index

1–5