Data Quality Visualization

Data Quality Visualization is a subfield of Uncertainty Visualization that specifically represents the accuracy, completeness, consistency, and reliability of data to enable informed interpretation of data trustworthiness in analytical processes.

32

Publications

1.6K

Citations

128

Authors

59

Institutions

Publications per year

2017–2026

12

Authors

128

  1. KM
    Kristina M. Slagle

    The Ohio State University, United States

    2 publications · 24 citations

    2

    h-index

  2. TG
    Theresia Gschwandtner

    TU Wien, Austria

    2 publications · 63 citations

    2

    h-index

  3. HK
    H. K. Hadavand

    Rutherford Appleton Laboratory, United Kingdom

    2 publications · 24 citations

    2

    h-index

  4. CB
    Christian Bors

    TU Wien, Austria

    2 publications · 63 citations

    2

    h-index

  5. AC
    A. Corso-Radu

    European Organization for Nuclear Research, Switzerland

    2 publications · 24 citations

    2

    h-index

1–5 of 128

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 225 citations

    3

    h-index

  2. Journal of Physics Conference Series

    2 publications · 24 citations

    2

    h-index

  3. Information Visualization

    2 publications · 51 citations

    2

    h-index

  4. Applied Radiation and Isotopes

    1 publications · 18 citations

    1

    h-index

  5. Nature Human Behaviour

    1 publications · 42 citations

    1

    h-index

1–5