High-performance Visualization

High-Performance Visualization is a computational visualization methodology that leverages high-performance computing resources to enable the efficient rendering, interactive exploration, and analysis of large-scale, complex scientific datasets.

138

Publications

15.6K

Citations

458

Authors

136

Institutions

Publications per year

2017–2026

16

Authors

458

  1. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    13 publications · 584 citations

    12

    h-index

  2. KM
    Kenneth Moreland

    Sandia National Laboratories, United States

    9 publications · 680 citations

    9

    h-index

  3. HC
    Hank Childs

    Lawrence Berkeley National Laboratory, United States

    9 publications · 832 citations

    9

    h-index

  4. JA
    James Ahrens

    Los Alamos National Laboratory, United States

    8 publications · 295 citations

    8

    h-index

  5. DP
    David Pugmire

    Oak Ridge National Laboratory, United States

    5 publications · 295 citations

    5

    h-index

1–5 of 458

Venues

  1. IEEE Computer Graphics and Applications

    11 publications · 432 citations

    10

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 494 citations

    6

    h-index

  3. Computer

    5 publications · 291 citations

    5

    h-index

  4. Computer Graphics Forum

    4 publications · 199 citations

    4

    h-index

  5. Eurographics

    Repository · 3 publications · 152 citations

    3

    h-index

1–5