Federated Query Systems

Federated Query Systems is a distributed data integration architecture that enables coordinated access to decentralized, heterogeneous health information sources by executing queries across multiple autonomous databases while preserving data locality and minimizing data movement.

74

Publications

3.3K

Citations

354

Authors

139

Institutions

Publications per year

2017–2026

16

Variants

Federated Query Architectures

Authors

354

  1. MS
    Muhammad Saleem

    Leipzig University, Germany

    6 publications · 263 citations

    6

    h-index

  2. GM
    Griffin M. Weber

    Harvard University, United States

    4 publications · 374 citations

    4

    h-index

  3. AN
    Axel-Cyrille Ngonga Ngomo

    Leipzig University, Germany

    4 publications · 185 citations

    4

    h-index

  4. JP
    Jyotishman Pathak

    Cornell University, United States

    3 publications · 72 citations

    3

    h-index

  5. AH
    Ali Hasnain

    Ollscoil na Gaillimhe – University of Galway, Ireland

    3 publications · 174 citations

    3

    h-index

1–5 of 354

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 4 publications · 398 citations

    4

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 141 citations

    4

    h-index

  3. Journal of Biomedical Semantics

    JBMS · 4 publications · 121 citations

    4

    h-index

  4. Journal of Medical Internet Research

    2 publications · 20 citations

    2

    h-index

  5. ACM SIGMOD Record

    2 publications · 284 citations

    2

    h-index

1–5