Cross-device Comparison

Cross-Device Comparison is a methodological framework within cross-device collaborative visualization that enables users to systematically analyze and juxtapose datasets or visual representations across multiple heterogeneous devices, distinguished by its support for synchronous, coordinated interactions and consistent state management despite differing screen sizes, input modalities, and device capabilities.

20

Publications

909

Citations

102

Authors

40

Institutions

Publications per year

2017–2026

12

Authors

102

  1. MH
    Maria Husmann

    ETH Zurich, Switzerland

    2 publications · 39 citations

    2

    h-index

  2. MC
    Moira C. Norrie

    ETH Zurich, Switzerland

    2 publications · 39 citations

    2

    h-index

  3. HR
    Harald Reiterer

    University of Konstanz, Germany

    2 publications · 32 citations

    2

    h-index

  4. JZ
    Johannes Zagermann

    University of Konstanz, Germany

    2 publications · 32 citations

    2

    h-index

  5. RG
    R. Granetz

    Plasma Technology (United States), United States

    2 publications · 58 citations

    2

    h-index

1–5 of 102

Venues

  1. Fusion Science & Technology

    1 publications · 41 citations

    1

    h-index

  2. Nuclear Fusion

    1 publications · 17 citations

    1

    h-index

  3. UCL Discovery (University College London)

    Repository · 1 publications · 16 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 105 citations

    1

    h-index

  5. Journal of Cleaner Production

    1 publications · 18 citations

    1

    h-index

1–5