Cross-system Data Integration

Cross-System Data Integration is a data integration framework that enables the seamless aggregation, alignment, and interoperability of heterogeneous data across autonomous, distributed systems by coordinating disparate data models, schemas, and protocols.

21

Publications

986

Citations

89

Authors

45

Institutions

Publications per year

2017–2026

5

Authors

89

  1. AS
    Andreas Schreiber

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    1 publications · 11 citations

    1

    h-index

  2. PB
    Paul Brown

    IBM Research - Almaden, United States

    1 publications · 10 citations

    1

    h-index

  3. JA
    Judith A. Curry

    Georgia Institute of Technology, United States

    1 publications · 184 citations

    1

    h-index

  4. KO
    Kevin O’ Brien

    NOAA National Centers for Environmental Information, United States

    1 publications · 27 citations

    1

    h-index

  5. VT
    Vardis Tsontos

    Jet Propulsion Laboratory, United States

    1 publications · 27 citations

    1

    h-index

1–5 of 89

Venues

  1. Information and Software Technology

    1 publications · 13 citations

    1

    h-index

  2. Scientometrics

    1 publications · 36 citations

    1

    h-index

  3. Medical Entomology and Zoology

    1 publications · 44 citations

    1

    h-index

  4. 1

    h-index

  5. Decision Support Systems

    1 publications · 11 citations

    1

    h-index

1–5