Reference Data Matching

Reference Data Matching is a record linkage methodology that belongs to the class of data matching techniques, distinguished by its reliance on a trusted, comprehensive dataset—serving as a reference—to probabilistically or deterministically identify and link records corresponding to the same vital event across disparate data sources.

22

Publications

1.2K

Citations

87

Authors

33

Institutions

Publications per year

2017–2026

2

Authors

87

  1. SC
    Surajit Chaudhuri

    Microsoft (United States), United States

    3 publications · 589 citations

    3

    h-index

  2. RM
    Rajeev Motwani

    Stanford University, United States

    2 publications · 501 citations

    2

    h-index

  3. TK
    Tetsushi Koide

    Hiroshima University, Japan

    2 publications · 41 citations

    2

    h-index

  4. HJ
    Hans Jürgen Mattausch

    Hiroshima University, Japan

    2 publications · 41 citations

    2

    h-index

  5. KG
    Kris Ganjam

    Microsoft (United States), United States

    2 publications · 501 citations

    2

    h-index

1–5 of 87

Venues

  1. PubMed

    Repository · 2 publications · 40 citations

    2

    h-index

  2. Japanese Journal of Applied Physics

    JJAP · 1 publications · 29 citations

    1

    h-index

  3. Transactions in GIS

    1 publications · 20 citations

    1

    h-index

  4. ACM Transactions on Graphics

    TOG · 1 publications · 59 citations

    1

    h-index

  5. Acta Zoologica Cracoviensia

    1 publications · 18 citations

    1

    h-index

1–5