Interactive Data Exploration

Interactive Data Exploration is a scholarly inquiry process within visual analytics and interactive visualization that enables analysts to iteratively probe, manipulate, and navigate data through dynamic visual interfaces in order to uncover patterns, generate hypotheses, and derive insights.

1.1K

Publications

90.6K

Citations

2.8K

Authors

813

Institutions

Publications per year

2017–2026

371

Authors

2.8K

  1. NE
    Niklas Elmqvist

    University of Maryland, College Park, United States

    15 publications · 1.5K citations

    15

    h-index

  2. JH
    Jeffrey Heer

    University of Washington, United States

    15 publications · 5.2K citations

    15

    h-index

  3. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    16 publications · 2.4K citations

    15

    h-index

  4. DA
    Daniel A. Keim

    University of Konstanz, Germany

    20 publications · 1.3K citations

    15

    h-index

  5. JF
    Jean‐Daniel Fekete

    Institut national de recherche en sciences et technologies du numérique, France

    15 publications · 1.2K citations

    14

    h-index

1–5 of 2.8K

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 133 publications · 13.4K citations

    61

    h-index

  2. Computer Graphics Forum

    29 publications · 2K citations

    22

    h-index

  3. IEEE Computer Graphics and Applications

    23 publications · 895 citations

    19

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 25 publications · 1.3K citations

    19

    h-index

  5. Bioinformatics

    13 publications · 2.3K citations

    12

    h-index

1–5