Derivation Rules

Derivation Rules is a type of business rule that specifies how a data element or fact is logically inferred or computed from other explicitly known data elements or facts within a formal knowledge or information system.

149

Publications

5.8K

Citations

279

Authors

160

Institutions

Publications per year

2017–2026

19

Authors

279

  1. RR
    Richard Rasala

    Northeastern University, United States

    3 publications · 221 citations

    3

    h-index

  2. GW
    Gerd Wagner

    Brandenburg University of Technology Cottbus-Senftenberg, Germany

    3 publications · 94 citations

    3

    h-index

  3. EF
    Elena Ferrari

    University of Insubria, Italy

    3 publications · 168 citations

    3

    h-index

  4. HF
    Harriet Fell

    Northeastern University, United States

    3 publications · 221 citations

    3

    h-index

  5. AP
    Adrian Paschke

    Freie Universität Berlin, Germany

    3 publications · 118 citations

    3

    h-index

1–5 of 279

Venues

  1. Proceedings of the American Mathematical Society

    PROC · 3 publications · 152 citations

    3

    h-index

  2. Pacific Journal of Mathematics

    3 publications · 78 citations

    3

    h-index

  3. Journal of Algebra

    3 publications · 71 citations

    3

    h-index

  4. Journal of Pure and Applied Algebra

    2 publications · 43 citations

    2

    h-index

  5. TU/e Research Portal

    Repository · 2 publications · 37 citations

    2

    h-index

1–5