Visual Data Validation

Visual Data Validation is a visual analytics method that enables the interactive assessment and verification of data quality dimensions through graphical representations to identify anomalies, inconsistencies, and patterns that indicate potential data errors.

32

Publications

1.5K

Citations

114

Authors

58

Institutions

Publications per year

2017–2026

13

Authors

114

  1. CH
    Christian Hennig

    University College London, United Kingdom

    2 publications · 141 citations

    2

    h-index

  2. HP
    Harald Piringer

    VRVis GmbH (Austria), Austria

    2 publications · 154 citations

    2

    h-index

  3. MW
    Maarten Weyn

    University of Antwerp, Belgium

    1 publications · 14 citations

    1

    h-index

  4. AB
    Anne‐Laure Boulesteix

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 125 citations

    1

    h-index

  5. JR
    Josh Rubin

    St. Louis Children's Hospital, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 114

Venues

  1. International Journal of Computer Vision

    2 publications · 97 citations

    2

    h-index

  2. Genome Research

    GR · 1 publications · 125 citations

    1

    h-index

  3. 1

    h-index

  4. Frontiers in Medicine

    1 publications · 13 citations

    1

    h-index

  5. Pediatric Pulmonology

    1 publications · 204 citations

    1

    h-index

1–5