Data Integration

Data Integration is the process of combining data from heterogeneous sources into a coherent, unified view that ensures consistency, accuracy, and accessibility for analytical and operational purposes across domains such as data management, business intelligence, and spatial epidemiology.

14.5K

Publications

803.8K

Citations

40.7K

Authors

6.8K

Institutions

Publications per year

2017–2026

4.6K

Authors

40.7K

  1. AH
    Alon Halevy

    University of Washington, United States

    57 publications · 9.3K citations

    43

    h-index

  2. HG
    Héctor García-Molina

    Stanford University, United States

    36 publications · 5.5K citations

    32

    h-index

  3. AS
    Amit Sheth

    Wright State University, United States

    54 publications · 3.8K citations

    31

    h-index

  4. AD
    AnHai Doan

    University of Wisconsin–Madison, United States

    41 publications · 4.2K citations

    30

    h-index

  5. DS
    Divesh Srivastava

    AT&T (United States), United States

    42 publications · 3.7K citations

    28

    h-index

1–5 of 40.7K

Venues

  1. ACM SIGMOD Record

    149 publications · 15.3K citations

    56

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 141 publications · 9.6K citations

    54

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 107 publications · 12K citations

    43

    h-index

  4. Communications of the ACM

    74 publications · 11.9K citations

    43

    h-index

  5. Nucleic Acids Research

    51 publications · 13.7K citations

    39

    h-index

1–5