Reference Data Quality

Reference Data Quality is a metric that evaluates the accuracy, completeness, consistency, and reliability of standardized patient data used as a benchmark for verifying and improving the precision of patient identity matching processes.

269

Publications

28.6K

Citations

1.6K

Authors

654

Institutions

Publications per year

2017–2026

97

Authors

1.6K

  1. GM
    Giles M. Foody

    University of Nottingham, United Kingdom

    4 publications · 310 citations

    4

    h-index

  2. AF
    Alex F. Roche

    Wright State University, United States

    3 publications · 87 citations

    3

    h-index

  3. SG
    Shumei Guo

    Wright State University, United States

    3 publications · 87 citations

    3

    h-index

  4. GA
    Gino A. DiLabio

    National Institute for Nanotechnology, Canada

    3 publications · 77 citations

    3

    h-index

  5. AK
    Andreas Koch

    Indiana University Bloomington, United States

    3 publications · 74 citations

    3

    h-index

1–5 of 1.6K

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 162 citations

    6

    h-index

  2. European Journal of Cancer

    5 publications · 1K citations

    5

    h-index

  3. Journal of Chemical Theory and Computation

    JCTC · 5 publications · 1.3K citations

    5

    h-index

  4. American Journal of Clinical Nutrition

    AJCN · 5 publications · 1.7K citations

    5

    h-index

  5. Remote Sensing

    5 publications · 210 citations

    5

    h-index

1–5