Visual Analytics Pipelines

Visual Analytics Pipelines is a systematic computational framework that integrates data processing, analytical reasoning, and interactive visualization components in a structured workflow to support the exploration, interpretation, and communication of uncertain data through coordinated human-computer collaboration.

253

Publications

12.1K

Citations

994

Authors

381

Institutions

Publications per year

2017–2026

121

Authors

994

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    9 publications · 480 citations

    9

    h-index

  2. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    8 publications · 782 citations

    8

    h-index

  3. RM
    Ross Maciejewski

    Arizona State University, United States

    7 publications · 312 citations

    7

    h-index

  4. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    7 publications · 726 citations

    7

    h-index

  5. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    6 publications · 217 citations

    6

    h-index

1–5 of 994

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 49 publications · 2.8K citations

    31

    h-index

  2. Computer Graphics Forum

    15 publications · 524 citations

    13

    h-index

  3. Computers & Graphics

    9 publications · 687 citations

    9

    h-index

  4. IEEE Computer Graphics and Applications

    6 publications · 151 citations

    6

    h-index

  5. Information Visualization

    6 publications · 498 citations

    6

    h-index

1–5