Data Independence

Data Independence is a foundational property of the Relational Data Model that enables the separation of data schema levels, allowing changes in the physical or logical structure of the database without affecting the higher-level schema or application programs.

125

Publications

7K

Citations

313

Authors

123

Institutions

Publications per year

2017–2026

14

Authors

313

  1. AW
    A. W. Roscoe

    University of Oxford, United Kingdom

    3 publications · 125 citations

    3

    h-index

  2. KA
    Karl Aberer

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 113 citations

    3

    h-index

  3. MJ
    Michael J. Franklin

    University of California, Berkeley, United States

    3 publications · 186 citations

    3

    h-index

  4. MM
    M. M. Astrahan

    IBM (United States), United States

    3 publications · 1.1K citations

    3

    h-index

  5. RV
    Raphael Volz

    Karlsruhe University of Education, Germany

    2 publications · 118 citations

    2

    h-index

1–5 of 313

Venues

  1. ACM SIGMOD Record

    7 publications · 301 citations

    7

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 173 citations

    5

    h-index

  3. ACM Transactions on Database Systems

    TODS · 4 publications · 1.3K citations

    4

    h-index

  4. The VLDB Journal

    3 publications · 260 citations

    3

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 56 citations

    2

    h-index

1–5