Distributed Visualization

Distributed Visualization is a scalable visualization approach that leverages distributed computing environments to process and render large-scale datasets across multiple interconnected systems, enabling efficient simulation visualization through parallel data handling and decentralized resource utilization.

202

Publications

6.4K

Citations

628

Authors

188

Institutions

Publications per year

2017–2026

8

Authors

628

  1. JL
    Jason Leigh

    University of Illinois Chicago, United States

    10 publications · 379 citations

    10

    h-index

  2. AJ
    Andrew Johnson

    University of Illinois Chicago, United States

    8 publications · 338 citations

    8

    h-index

  3. LR
    Luc Renambot

    University of Illinois Chicago, United States

    8 publications · 320 citations

    8

    h-index

  4. BJ
    Byungil Jeong

    University of Illinois Chicago, United States

    6 publications · 279 citations

    6

    h-index

  5. KB
    Ken Brodlie

    University of Leeds, United Kingdom

    5 publications · 180 citations

    5

    h-index

1–5 of 628

Venues

  1. IEEE Computer Graphics and Applications

    9 publications · 349 citations

    9

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 7 publications · 243 citations

    7

    h-index

  3. Computer

    6 publications · 274 citations

    6

    h-index

  4. Computer Graphics Forum

    4 publications · 231 citations

    4

    h-index

  5. 4

    h-index

1–5