Details-on-demand

Details-On-Demand is a visualization interaction technique that enables users to selectively retrieve additional, contextually relevant information about specific data elements or visual components upon explicit user request, distinguishing it from automatic or continuous information disclosure methods.

7

Publications

267

Citations

16

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

16

  1. BJ
    Bryce J. Dietrich

    University of Iowa, United States

    1 publications · 15 citations

    1

    h-index

  2. LW
    Lynn Wilcox

    FX Palo Alto Laboratory, United States

    1 publications · 33 citations

    1

    h-index

  3. CK
    Caglar Koylu

    University of Iowa, United States

    1 publications · 15 citations

    1

    h-index

  4. JM
    Josep Maria Brunetti

    Universitat de Lleida, Spain

    1 publications · 11 citations

    1

    h-index

  5. JN
    Junyu Niu

    Fudan University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 16

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 16 citations

    1

    h-index

  2. Aslib Journal of Information Management

    AJIM · 1 publications · 11 citations

    1

    h-index

  3. 1

    h-index

1–3