Data Quality Comparison

Data Quality Comparison is a methodological framework within data quality visualization that systematically evaluates and contrasts the integrity, accuracy, completeness, and consistency attributes of datasets across different sources or time points to identify variations in data quality levels.

73

Publications

3.5K

Citations

338

Authors

159

Institutions

Publications per year

2017–2026

34

Authors

338

  1. SA
    Sören Auer

    University of Bonn, Germany

    2 publications · 159 citations

    2

    h-index

  2. AA
    Ali Abouie

    The University of Texas at Austin, United States

    2 publications · 31 citations

    2

    h-index

  3. KS
    Kamy Sepehrnoori

    The University of Texas at Austin, United States

    2 publications · 31 citations

    2

    h-index

  4. HD
    Hamed Darabi

    The University of Texas at Austin, United States

    2 publications · 31 citations

    2

    h-index

  5. VH
    Vojtech Huser

    National Institutes of Health, United States

    2 publications · 83 citations

    2

    h-index

1–5 of 338

Venues

  1. Abdominal Radiology

    2 publications · 26 citations

    2

    h-index

  2. ICT Express

    1 publications · 51 citations

    1

    h-index

  3. Magnetic Resonance in Medicine

    MRM · 1 publications · 72 citations

    1

    h-index

  4. BioMed Research International

    1 publications · 18 citations

    1

    h-index

  5. Studies in health technology and informatics

    Book series · 1 publications · 15 citations

    1

    h-index

1–5