Detail-on-demand

Detail-on-Demand is an interactive visualization technique that belongs to the genus of focus techniques, distinguished by its provision of incremental, user-triggered access to finer levels of information granularity upon explicit request.

15

Publications

566

Citations

29

Authors

9

Institutions

Publications per year

2017–2026

3

Authors

29

  1. AG
    Andreas Girgensohn

    FX Palo Alto Laboratory, United States

    7 publications · 178 citations

    7

    h-index

  2. LW
    Lynn Wilcox

    FX Palo Alto Laboratory, United States

    7 publications · 178 citations

    7

    h-index

  3. FS
    Frank Shipman

    Texas A&M University, United States

    7 publications · 178 citations

    7

    h-index

  4. ES
    Eve Syrkin Wurtele

    Iowa State University, United States

    1 publications · 17 citations

    1

    h-index

  5. YW
    Yan Wang

    Nankai University, China

    1 publications · 63 citations

    1

    h-index

1–5 of 29

Venues

  1. Virtual Reality

    2 publications · 52 citations

    2

    h-index

  2. Electronic Imaging

    1 publications · 23 citations

    1

    h-index

  3. International Conference on Human-Computer Interaction

    Conference · 1 publications · 27 citations

    1

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 16 citations

    1

    h-index

  5. Kent Academic Repository (University of Kent)

    Repository · 1 publications · 25 citations

    1

    h-index

1–5