Parallel Visualization

Parallel Visualization is a computational visualization method that belongs to the class of distributed data rendering techniques, distinguished by its simultaneous execution across multiple processing units to accelerate the visualization of large-scale scientific simulations through spatial or data decomposition.

225

Publications

13.9K

Citations

590

Authors

200

Institutions

Publications per year

2017–2026

11

Authors

590

  1. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    21 publications · 705 citations

    17

    h-index

  2. JA
    James Ahrens

    Los Alamos National Laboratory, United States

    8 publications · 308 citations

    8

    h-index

  3. KM
    Kenneth Moreland

    Sandia National Laboratories, United States

    7 publications · 263 citations

    7

    h-index

  4. HY
    Hongfeng Yu

    Chinese Academy of Sciences, China

    7 publications · 270 citations

    7

    h-index

  5. JS
    John Stasko

    Georgia Institute of Technology, United States

    6 publications · 206 citations

    6

    h-index

1–5 of 590

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 12 publications · 635 citations

    12

    h-index

  2. 6

    h-index

  3. IEEE Computer Graphics and Applications

    6 publications · 332 citations

    6

    h-index

  4. Future Generation Computer Systems

    FGCS · 6 publications · 112 citations

    6

    h-index

  5. Computer

    5 publications · 344 citations

    5

    h-index

1–5