Data Aggregation Exploration

Data Aggregation Exploration is an interactive data exploration method that enables users to dynamically summarize and examine data at varying levels of granularity through user-driven aggregation operations.

11

Publications

462

Citations

42

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

42

  1. JG
    Jade Goldstein

    Carnegie Mellon University, United States

    2 publications · 128 citations

    2

    h-index

  2. SF
    Steven F. Roth

    Carnegie Mellon University, United States

    2 publications · 128 citations

    2

    h-index

  3. DA
    David Anderson

    The University of Sydney, Australia

    1 publications · 69 citations

    1

    h-index

  4. CQ
    Charlie Quinn

    Benaroya Research Institute

    1 publications · 69 citations

    1

    h-index

  5. TP
    Themis Palpanas

    Université Paris Cité, France

    1 publications · 20 citations

    1

    h-index

1–5 of 42

Venues

  1. Information Visualization

    1 publications · 43 citations

    1

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 37 citations

    1

    h-index

  3. Journal of Business and Psychology

    1 publications · 41 citations

    1

    h-index

  4. Bioinformatics

    1 publications · 24 citations

    1

    h-index

  5. Journal of Translational Medicine

    JTM · 1 publications · 69 citations

    1

    h-index

1–5