Object-relational Query Processing

Object-Relational Query Processing is a computational method that extends relational query processing to support object-oriented data models by integrating complex data types, inheritance, and user-defined functions within a unified query execution framework.

81

Publications

3.1K

Citations

230

Authors

76

Institutions

Publications per year

2017–2026

8

Authors

230

  1. DM
    David Maier

    Portland State University, United States

    4 publications · 171 citations

    4

    h-index

  2. MJ
    Michael J. Carey

    University of Wisconsin–Madison, United States

    4 publications · 425 citations

    4

    h-index

  3. LF
    Leonidas Fegaras

    The University of Texas at Arlington, United States

    4 publications · 208 citations

    4

    h-index

  4. CY
    Cong Yan

    University of Washington, United States

    3 publications · 124 citations

    3

    h-index

  5. AC
    Alvin Cheung

    University of Washington, United States

    3 publications · 124 citations

    3

    h-index

1–5 of 230

Venues

  1. ACM SIGMOD Record

    8 publications · 238 citations

    8

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  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 34 citations

    3

    h-index

  3. ACM Transactions on Database Systems

    TODS · 2 publications · 148 citations

    2

    h-index

  4. Very Large Data Bases

    Conference · 1 publications · 53 citations

    1

    h-index

  5. 1

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1–5