Name Matching Algorithms

Name Matching Algorithms is a computational method used in Politically Exposed Persons and Sanctions Screening that identifies potential matches between individual names by accounting for linguistic variations, transliterations, and data quality issues, thereby distinguishing it from general string-matching techniques through its domain-specific adaptation to name equivalence detection in regulatory compliance contexts.

80

Publications

3.3K

Citations

236

Authors

126

Institutions

Publications per year

2017–2026

19

Authors

236

  1. JP
    Jakub Piskorski

    Joint Research Centre, Italy

    3 publications · 60 citations

    3

    h-index

  2. LK
    L. Karl Branting

    University of Wyoming, United States

    2 publications · 50 citations

    2

    h-index

  3. OR
    Oliver Razum

    Bielefeld University, Germany

    2 publications · 84 citations

    2

    h-index

  4. WC
    Wei-Sheng Chin

    National Taiwan University, Taiwan

    2 publications · 43 citations

    2

    h-index

  5. HZ
    Hajo Zeeb

    Leibniz Institute for Prevention Research and Epidemiology - BIPS, Germany

    2 publications · 84 citations

    2

    h-index

1–5 of 236

Venues

  1. 3

    h-index

  2. PubMed

    Repository · 2 publications · 41 citations

    2

    h-index

  3. Communications of the ACM

    2 publications · 95 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 43 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 84 citations

    2

    h-index

1–5