Multi-source Record Linkage

Multi-Source Record Linkage is a record linkage methodology that integrates and matches records from three or more distinct data sources to identify those referring to the same underlying vital event, distinguished from pairwise linkage by its capacity to reconcile heterogeneous and potentially conflicting information across multiple, independently collected datasets.

13

Publications

867

Citations

41

Authors

24

Institutions

Publications per year

2017–2026

4

Authors

41

  1. PC
    Peter Christen

    Australian National University, Australia

    2 publications · 224 citations

    2

    h-index

  2. IS
    Ian Scott

    The University of Queensland, Australia

    1 publications · 239 citations

    1

    h-index

  3. JP
    Johnson P. Thomas

    Oklahoma State University, United States

    1 publications · 16 citations

    1

    h-index

  4. KO
    Keizo Oyama

    National Institute of Informatics, Japan

    1 publications · 83 citations

    1

    h-index

  5. MH
    Michel H. Hof

    University of Amsterdam, Netherlands

    1 publications · 14 citations

    1

    h-index

1–5 of 41

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 13 citations

    1

    h-index

  2. Journal of Clinical Nursing

    JCN · 1 publications · 65 citations

    1

    h-index

  3. Medical Care

    1 publications · 50 citations

    1

    h-index

  4. 1

    h-index

  5. History and Computing

    1 publications · 21 citations

    1

    h-index

1–5