Collaborative Real-time Visualization

Collaborative Real-Time Visualization is a computational framework that enables multiple users to simultaneously interact with and contribute to dynamic visual representations of data as they are generated or updated, distinguished by its support for synchronized, low-latency visualization and collaborative input across distributed participants.

15

Publications

336

Citations

61

Authors

22

Institutions

Publications per year

2017–2026

3

Authors

61

  1. TN
    Tek-Jin Nam

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 53 citations

    1

    h-index

  2. RL
    Randy L. Gollub

    Massachusetts General Hospital, United States

    1 publications · 12 citations

    1

    h-index

  3. CM
    Charles Marion

    Kitware (United States), United States

    1 publications · 36 citations

    1

    h-index

  4. QS
    Qi Shi

    Liverpool John Moores University, United Kingdom

    1 publications · 21 citations

    1

    h-index

  5. SS
    Suppachai Suwanwatcharachat

    University College London, United Kingdom

    1 publications · 21 citations

    1

    h-index

1–5 of 61

Venues

  1. Computer

    1 publications · 37 citations

    1

    h-index

  2. 1

    h-index

  3. Design Studies

    1 publications · 53 citations

    1

    h-index

  4. Frontiers in Neuroinformatics

    1 publications · 12 citations

    1

    h-index

1–4