Temporal Data Types

Temporal Data Types is a schema-level construct in object-relational databases that extends conventional data types by incorporating time dimensions—such as valid time and transaction time—to model and manage data that changes over time.

155

Publications

12.6K

Citations

377

Authors

186

Institutions

Publications per year

2017–2026

27

Authors

377

  1. RT
    Richard T. Snodgrass

    University of Arizona, United States

    11 publications · 794 citations

    11

    h-index

  2. CS
    Christian S. Jensen

    Aalborg University, Denmark

    8 publications · 640 citations

    8

    h-index

  3. SK
    Shashi K. Gadia

    Iowa State University, United States

    5 publications · 357 citations

    5

    h-index

  4. CC
    Carlo Combi

    University of Verona, Italy

    4 publications · 83 citations

    4

    h-index

  5. CD
    Curtis Dyreson

    Washington State University, United States

    4 publications · 263 citations

    4

    h-index

1–5 of 377

Venues

  1. ACM SIGMOD Record

    9 publications · 622 citations

    9

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 1.4K citations

    8

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 55 citations

    4

    h-index

  4. Information Systems

    4 publications · 228 citations

    4

    h-index

  5. PubMed

    Repository · 4 publications · 149 citations

    4

    h-index

1–5