Multi-user Visual Analytics

Multi-User Visual Analytics is a collaborative visual analytics framework that enables multiple users to simultaneously explore, analyze, and interpret complex datasets through shared interactive visualizations and coordinated analytical processes.

13

Publications

497

Citations

52

Authors

32

Institutions

Publications per year

2017–2026

4

Authors

52

  1. FS
    Falk Schreiber

    Monash University, Australia

    2 publications · 69 citations

    2

    h-index

  2. GA
    G. Aldering

    Lawrence Berkeley National Laboratory, United States

    2 publications · 39 citations

    2

    h-index

  3. AK
    Andreas Kerren

    Linnaeus University, Sweden

    2 publications · 69 citations

    2

    h-index

  4. RQ
    R. Quimby

    California Institute of Technology, United States

    2 publications · 39 citations

    2

    h-index

  5. CA
    C. Aragon

    University of Washington, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 52

Venues

  1. Information Visualization

    2 publications · 46 citations

    2

    h-index

  2. Computer Graphics Forum

    2 publications · 158 citations

    2

    h-index

  3. IEEE Transactions on Industrial Informatics

    1 publications · 20 citations

    1

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 95 citations

    1

    h-index

  5. 1

    h-index

1–5