Collaborative Replay

Collaborative Replay is a computational framework within collaborative visualization that enables the systematic reconstruction and interactive review of multi-user visualization sessions, distinguishing itself by preserving and synchronizing individual user contributions, interactions, and contextual provenance traces to support retrospective analysis and collaborative sensemaking.

4

Publications

86

Citations

11

Authors

4

Institutions

Publications per year

2017–2026

2

Authors

11

  1. LQ
    Liangqiong Qu

    Stanford University, United States

    1 publications · 34 citations

    1

    h-index

  2. NB
    Niranjan Balachandar

    Stanford University, United States

    1 publications · 34 citations

    1

    h-index

  3. MJ
    Marc Jansen

    Linnaeus University, Sweden

    1 publications · 20 citations

    1

    h-index

  4. GM
    Gerhard Mercator

    1 publications · 20 citations

    1

    h-index

  5. AC
    Akhilesh Camisetty

    University of Massachusetts Dartmouth, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 11

Venues

  1. Medical Image Analysis

    1 publications · 34 citations

    1

    h-index

  2. ACM SIGOIS Bulletin

    1 publications · 12 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 20 citations

    1

    h-index

1–3