Data Completeness Analysis

Data Completeness Analysis is a data profiling method that belongs to the class of data quality assessment techniques, specifically distinguished by its focus on identifying the extent to which required data attributes are populated and absent of null or missing values within a dataset.

166

Publications

9.5K

Citations

898

Authors

517

Institutions

Publications per year

2017–2026

85

Authors

898

  1. CR
    Chalapati Rao

    The University of Queensland, Australia

    4 publications · 2.1K citations

    4

    h-index

  2. JW
    Jerzy W. Grzymala‐Busse

    University of Kansas, United States

    3 publications · 120 citations

    3

    h-index

  3. KD
    Kenneth D. Mandl

    Boston Children's Hospital, United States

    3 publications · 233 citations

    3

    h-index

  4. RL
    Rolf Lefering

    Witten/Herdecke University, Germany

    3 publications · 80 citations

    3

    h-index

  5. SN
    Shawn N. Murphy

    Massachusetts General Hospital, United States

    3 publications · 233 citations

    3

    h-index

1–5 of 898

Venues

  1. PubMed

    Repository · 7 publications · 2.2K citations

    7

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 3 publications · 150 citations

    3

    h-index

  3. BMC Medical Informatics and Decision Making

    3 publications · 84 citations

    3

    h-index

  4. BMJ Open

    2 publications · 50 citations

    2

    h-index

  5. Information Sciences

    2 publications · 55 citations

    2

    h-index

1–5