Temporal Databases

Temporal Databases is a class of database systems that extend conventional databases by incorporating time as a fundamental dimension for modeling and managing data, distinguishing them through their capability to store, query, and manage historical, current, and sometimes future states of data over valid and transaction time.

1.2K

Publications

58.2K

Citations

2.2K

Authors

686

Institutions

Publications per year

2017–2026

117

Authors

2.2K

  1. RT
    Richard T. Snodgrass

    University of Arizona, United States

    53 publications · 4.7K citations

    34

    h-index

  2. CS
    Christian S. Jensen

    Aalborg University, Denmark

    44 publications · 3.3K citations

    27

    h-index

  3. SH
    Sang H. Son

    University of Virginia, United States

    21 publications · 1.1K citations

    16

    h-index

  4. VR
    Vangipuram Radhakrishna

    Vignana Jyothi Institute of Management, India

    18 publications · 667 citations

    16

    h-index

  5. SK
    Shashi K. Gadia

    Iowa State University, United States

    22 publications · 1.1K citations

    15

    h-index

1–5 of 2.2K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 71 publications · 5.1K citations

    36

    h-index

  2. ACM SIGMOD Record

    43 publications · 4.2K citations

    27

    h-index

  3. ACM Transactions on Database Systems

    TODS · 23 publications · 3.6K citations

    21

    h-index

  4. Very Large Data Bases

    Conference · 23 publications · 2.1K citations

    18

    h-index

  5. The VLDB Journal

    19 publications · 961 citations

    18

    h-index

1–5