Temporal Query Languages

Temporal Query Languages is a formal query language designed to express and evaluate queries over temporal databases by incorporating time-related constructs that enable the retrieval and manipulation of time-varying data, distinguishing it from conventional query languages through its intrinsic support for temporal validity, time intervals, and evolution of data states over time.

183

Publications

14K

Citations

334

Authors

143

Institutions

Publications per year

2017–2026

13

Authors

334

  1. RT
    Richard T. Snodgrass

    University of Arizona, United States

    19 publications · 2.3K citations

    18

    h-index

  2. CS
    Christian S. Jensen

    Aalborg University, Denmark

    12 publications · 710 citations

    12

    h-index

  3. CZ
    Carlo Zaniolo

    University of California, Los Angeles, United States

    10 publications · 242 citations

    10

    h-index

  4. MH
    Michael H. Böhlen

    Free University of Bozen-Bolzano, Italy

    9 publications · 498 citations

    9

    h-index

  5. FW
    Fusheng Wang

    Stony Brook University, United States

    7 publications · 189 citations

    7

    h-index

1–5 of 334

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 13 publications · 1.3K citations

    11

    h-index

  2. ACM SIGMOD Record

    10 publications · 1.7K citations

    10

    h-index

  3. ACM Transactions on Database Systems

    TODS · 7 publications · 1.4K citations

    7

    h-index

  4. PubMed

    Repository · 6 publications · 155 citations

    6

    h-index

  5. Data & Knowledge Engineering

    DKE · 5 publications · 139 citations

    5

    h-index

1–5