Cross-device Data Distribution

Cross-Device Data Distribution is a methodological framework in cross-device collaborative visualization that governs the organization, allocation, and synchronization of visual data across heterogeneous devices to enable coherent and interactive multi-device visual analytics.

14

Publications

724

Citations

49

Authors

26

Institutions

Publications per year

2017–2026

9

Authors

49

  1. TL
    Terrance Liu

    Carnegie Mellon University, United States

    2 publications · 377 citations

    2

    h-index

  2. LZ
    Liu Ziyin

    The University of Tokyo, Japan

    2 publications · 377 citations

    2

    h-index

  3. PP
    Paul Pu Liang

    Carnegie Mellon University, United States

    2 publications · 377 citations

    2

    h-index

  4. CN
    Clemens Nylandsted Klokmose

    Aarhus University, Denmark

    2 publications · 76 citations

    2

    h-index

  5. HJ
    Hans-Christian Jetter

    University of Konstanz, Germany

    1 publications · 36 citations

    1

    h-index

1–5 of 49

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 377 citations

    2

    h-index

  2. IEEE Transactions on Multimedia

    1 publications · 24 citations

    1

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 12 citations

    1

    h-index

  4. Computers and Electronics in Agriculture

    1 publications · 38 citations

    1

    h-index

  5. IEEE Open Journal of the Communications Society

    IOJCAZ · 1 publications · 19 citations

    1

    h-index

1–5