Collaborative Visual Analytics

Collaborative Visual Analytics is a subfield of visual analytics that integrates collaborative technologies and interactive visualization techniques to enable multiple users to jointly engage in data interpretation, sensemaking, and decision-making through coordinated analytical processes.

103

Publications

4.8K

Citations

417

Authors

158

Institutions

Publications per year

2017–2026

32

Authors

417

  1. BF
    Brian Fisher

    Simon Fraser University, Canada

    5 publications · 202 citations

    5

    h-index

  2. DF
    Danyel Fisher

    Microsoft (United States), United States

    4 publications · 425 citations

    4

    h-index

  3. MA
    Maneesh Agrawala

    University of California, Berkeley, United States

    4 publications · 529 citations

    4

    h-index

  4. CA
    C. Aragon

    University of Washington, United States

    4 publications · 93 citations

    4

    h-index

  5. DS
    David S. Ebert

    Purdue University West Lafayette, United States

    4 publications · 146 citations

    4

    h-index

1–5 of 417

Venues

  1. Information Visualization

    9 publications · 614 citations

    9

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 9 publications · 734 citations

    9

    h-index

  3. Computer Graphics Forum

    7 publications · 397 citations

    7

    h-index

  4. Human-centric Computing and Information Sciences

    HCIS · 3 publications · 45 citations

    3

    h-index

  5. Future Generation Computer Systems

    FGCS · 2 publications · 51 citations

    2

    h-index

1–5