Cross-device Collaborative Visualization

Cross-Device Collaborative Visualization is a form of collaborative visualization that enables multiple users to interact with shared visual data across heterogeneous devices, distinguished by its support for seamless interaction and data synchronization between different hardware platforms within a unified visualization environment.

6

Publications

387

Citations

15

Authors

8

Institutions

Publications per year

2017–2026

4

Authors

15

  1. NE
    Niklas Elmqvist

    University of Maryland, College Park, United States

    3 publications · 151 citations

    3

    h-index

  2. SK
    Sriram Karthik Badam

    University of Maryland, College Park, United States

    3 publications · 151 citations

    3

    h-index

  3. RR
    Roman Rädle

    University of Konstanz, Germany

    2 publications · 84 citations

    2

    h-index

  4. CN
    Clemens Nylandsted Klokmose

    Aarhus University, Denmark

    2 publications · 84 citations

    2

    h-index

  5. TL
    Thomas Luger

    University of Applied Sciences Upper Austria, Austria

    1 publications · 36 citations

    1

    h-index

1–5 of 15

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 48 citations

    1

    h-index

  2. Information Visualization

    1 publications · 24 citations

    1

    h-index

  3. ISPRS International Journal of Geo-Information

    IJGI · 1 publications · 29 citations

    1

    h-index

1–3