Distributed Visualization Systems

Distributed Visualization Systems is a computational framework that enables the coordinated rendering and interactive exploration of scientific data across multiple geographically dispersed computing resources, distinguished by its ability to manage data partitioning, task distribution, and network-aware visualization pipelines to support collaborative analysis at scale.

183

Publications

9.4K

Citations

609

Authors

184

Institutions

Publications per year

2017–2026

13

Authors

609

  1. KB
    Ken Brodlie

    University of Leeds, United Kingdom

    6 publications · 294 citations

    7

    h-index

  2. JL
    Jason Leigh

    University of Illinois Chicago, United States

    7 publications · 187 citations

    7

    h-index

  3. JA
    James Ahrens

    Los Alamos National Laboratory, United States

    5 publications · 132 citations

    5

    h-index

  4. AJ
    Andrew Johnson

    University of Illinois Chicago, United States

    5 publications · 133 citations

    5

    h-index

  5. LR
    Luc Renambot

    University of Illinois Chicago, United States

    5 publications · 115 citations

    5

    h-index

1–5 of 609

Venues

  1. IEEE Computer Graphics and Applications

    11 publications · 376 citations

    11

    h-index

  2. Future Generation Computer Systems

    FGCS · 7 publications · 165 citations

    7

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 7 publications · 241 citations

    7

    h-index

  4. Computer

    5 publications · 324 citations

    5

    h-index

  5. IEEE Visualization

    Conference · 4 publications · 185 citations

    4

    h-index

1–5