Relational Databases

Relational Databases is a class of database management systems that represent data as collections of relations (tables) consisting of tuples and attributes defined by a schema, and that support data manipulation and integrity enforcement through operations grounded in the relational model (relational algebra and its associated constraints on keys and inter-relational dependencies).

4.1K

Publications

266K

Citations

6K

Authors

1.5K

Institutions

Publications per year

2017–2026

336

Authors

6K

  1. JD
    Jeffrey D. Ullman

    Stanford University, United States

    33 publications · 4.8K citations

    25

    h-index

  2. MS
    Michael Stonebraker

    University of California, Berkeley, United States

    37 publications · 4.7K citations

    24

    h-index

  3. LL
    Leonid Libkin

    University of Edinburgh, United Kingdom

    33 publications · 1.3K citations

    22

    h-index

  4. YS
    Yehoshua Sagiv

    Hebrew University of Jerusalem, Israel

    24 publications · 2.7K citations

    20

    h-index

  5. DO
    Dan Olteanu

    University of Oxford, United Kingdom

    21 publications · 1.5K citations

    19

    h-index

1–5 of 6K

Venues

  1. ACM Transactions on Database Systems

    TODS · 175 publications · 32.6K citations

    77

    h-index

  2. ACM SIGMOD Record

    144 publications · 12K citations

    50

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 131 publications · 7.8K citations

    45

    h-index

  4. Very Large Data Bases

    Conference · 94 publications · 5.6K citations

    42

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 61 publications · 4K citations

    32

    h-index

1–5