Data Modeling

Data Modeling is the systematic process of creating a formal representation of data structures, relationships, and constraints within an information system to support the accurate storage, integration, and utilization of data across application domains.

8.2K

Publications

473.5K

Citations

16.6K

Authors

3.3K

Institutions

Publications per year

2017–2026

1.4K

Authors

16.6K

  1. SA
    Serge Abiteboul

    Institut national de recherche en sciences et technologies du numérique, France

    41 publications · 5.3K citations

    31

    h-index

  2. WP
    Witold Pedrycz

    University of Alberta, Canada

    47 publications · 2.7K citations

    28

    h-index

  3. AH
    Alon Halevy

    University of Washington, United States

    31 publications · 6.2K citations

    27

    h-index

  4. ML
    Maurizio Lenzerini

    Sapienza University of Rome, Italy

    37 publications · 4.5K citations

    25

    h-index

  5. DC
    Diego Calvanese

    Free University of Bozen-Bolzano, Italy

    34 publications · 1.7K citations

    23

    h-index

1–5 of 16.6K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 125 publications · 10.4K citations

    49

    h-index

  2. ACM SIGMOD Record

    130 publications · 13K citations

    48

    h-index

  3. ACM Transactions on Database Systems

    TODS · 70 publications · 15.2K citations

    47

    h-index

  4. Information Systems

    96 publications · 5.3K citations

    40

    h-index

  5. Data & Knowledge Engineering

    DKE · 97 publications · 4.5K citations

    35

    h-index

1–5