Collaborative Exploratory Data Analysis

Collaborative Exploratory Data Analysis is a collaborative sensemaking process in which multiple analysts jointly engage in iterative data investigation, visualization, and interpretation to uncover underlying patterns, generate hypotheses, and develop shared understanding through coordinated, interactive, and often distributed analytical activities.

63

Publications

6.1K

Citations

345

Authors

130

Institutions

Publications per year

2017–2026

24

Authors

345

  1. RL
    Robert L. Grossman

    University of Chicago, United States

    3 publications · 185 citations

    3

    h-index

  2. SC
    Sheelagh Carpendale

    University of Calgary, Canada

    3 publications · 717 citations

    3

    h-index

  3. PI
    Petra Isenberg

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

    3 publications · 717 citations

    3

    h-index

  4. AS
    Ali Sarvghad

    University of Massachusetts Amherst, United States

    2 publications · 34 citations

    2

    h-index

  5. DP
    Daniel P. Miller

    National Cancer Institute, United States

    2 publications · 168 citations

    2

    h-index

1–5 of 345

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 888 citations

    3

    h-index

  2. Nucleic Acids Research

    2 publications · 1.9K citations

    2

    h-index

  3. IEEE Computer Graphics and Applications

    2 publications · 100 citations

    2

    h-index

  4. International Journal of Market Research

    1 publications · 10 citations

    1

    h-index

  5. Geospatial health

    1 publications · 31 citations

    1

    h-index

1–5