Drill-down

Drill-Down is an interactive visualization technique that enables hierarchical data exploration by allowing users to navigate from aggregated to more detailed levels of information through sequential refinement of the visual representation.

43

Publications

1.5K

Citations

137

Authors

71

Institutions

Publications per year

2017–2026

11

Variants

Drilldown

Authors

137

  1. AP
    Aditya Parameswaran

    Stanford University, United States

    5 publications · 152 citations

    5

    h-index

  2. HG
    Héctor García-Molina

    Stanford University, United States

    4 publications · 102 citations

    4

    h-index

  3. MJ
    Manas Joglekar

    Stanford University, United States

    4 publications · 102 citations

    4

    h-index

  4. SB
    Svetlin Bostandjiev

    University of California, Santa Barbara, United States

    1 publications · 143 citations

    1

    h-index

  5. TH
    Tobias Höllerer

    University of California, Santa Barbara, United States

    1 publications · 143 citations

    1

    h-index

1–5 of 137

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 65 citations

    2

    h-index

  2. ACM Transactions on Intelligent Systems and Technology

    TIST · 1 publications · 143 citations

    1

    h-index

  3. Journal of Management Information Systems

    JMIS · 1 publications · 136 citations

    1

    h-index

  4. ACM Transactions on Database Systems

    TODS · 1 publications · 106 citations

    1

    h-index

  5. ACM Transactions on Computer-Human Interaction

    TOCHI · 1 publications · 101 citations

    1

    h-index

1–5