Visual Analytics For Scientific Data

Visual Analytics for Scientific Data is an interdisciplinary field of study that integrates computational analysis, interactive visualization, and human-centered reasoning to enable the discovery of insights in complex scientific datasets through visual interfaces.

1.4K

Publications

167.2K

Citations

5K

Authors

1.6K

Institutions

Publications per year

2017–2026

610

Authors

5K

  1. NG
    Nils Gehlenborg

    Harvard University, United States

    16 publications · 4.7K citations

    15

    h-index

  2. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    10 publications · 239 citations

    10

    h-index

  3. JA
    James Ahrens

    Los Alamos National Laboratory, United States

    11 publications · 542 citations

    10

    h-index

  4. CC
    Chaomei Chen

    Drexel University, United States

    9 publications · 6.6K citations

    9

    h-index

  5. HC
    Hank Childs

    Lawrence Berkeley National Laboratory, United States

    9 publications · 311 citations

    9

    h-index

1–5 of 5K

Venues

  1. Bioinformatics

    100 publications · 34.8K citations

    47

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 90 publications · 5K citations

    40

    h-index

  3. BMC Bioinformatics

    72 publications · 15.7K citations

    36

    h-index

  4. Computer Graphics Forum

    28 publications · 1.5K citations

    21

    h-index

  5. PLoS ONE

    23 publications · 2.3K citations

    18

    h-index

1–5