Visual Analytics Collaboration

Visual Analytics Collaboration is a collaborative sensemaking method that integrates human-driven analytical reasoning with interactive visual interfaces and computational analytics to enable multiple stakeholders to jointly interpret, analyze, and derive insights from complex data in a coordinated and iterative manner.

59

Publications

3.1K

Citations

226

Authors

100

Institutions

Publications per year

2017–2026

23

Authors

226

  1. BF
    Brian Fisher

    Simon Fraser University, Canada

    5 publications · 211 citations

    5

    h-index

  2. CA
    C. Aragon

    University of Washington, United States

    4 publications · 222 citations

    4

    h-index

  3. NM
    Narges Mahyar

    University of Massachusetts Amherst, United States

    3 publications · 160 citations

    3

    h-index

  4. DS
    David S. Ebert

    Purdue University West Lafayette, United States

    3 publications · 129 citations

    3

    h-index

  5. DF
    Danyel Fisher

    Microsoft (United States), United States

    3 publications · 392 citations

    3

    h-index

1–5 of 226

Venues

  1. Information Visualization

    7 publications · 588 citations

    7

    h-index

  2. Computer Graphics Forum

    6 publications · 376 citations

    6

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 463 citations

    6

    h-index

  4. Human-centric Computing and Information Sciences

    HCIS · 2 publications · 31 citations

    2

    h-index

  5. SIGSPATIAL Special

    1 publications · 17 citations

    1

    h-index

1–5