Collaborative Exploration

Collaborative Exploration is a collaborative sensemaking process in which multiple users jointly navigate, manipulate, and investigate data spaces or visual representations in real time to discover patterns, generate insights, and construct shared understanding through interactive visual analytics in a synchronous collaboration setting.

134

Publications

5K

Citations

437

Authors

211

Institutions

Publications per year

2017–2026

55

Authors

437

  1. IR
    Ioannis Rekleitis

    McGill University, Canada

    4 publications · 215 citations

    4

    h-index

  2. GD
    Gregory Dudek

    McGill University, Canada

    4 publications · 215 citations

    4

    h-index

  3. EM
    Evangelos Milios

    Dalhousie University, Canada

    4 publications · 215 citations

    4

    h-index

  4. TD
    Thierry Duval

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    3 publications · 48 citations

    3

    h-index

  5. CF
    Cédric Fleury

    Centre National de la Recherche Scientifique, France

    3 publications · 48 citations

    3

    h-index

1–5 of 437

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 156 citations

    3

    h-index

  2. IEEE Robotics and Automation Letters

    3 publications · 95 citations

    3

    h-index

  3. Sensors

    2 publications · 73 citations

    2

    h-index

  4. BMC Bioinformatics

    2 publications · 28 citations

    2

    h-index

  5. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 2 publications · 143 citations

    2

    h-index

1–5