Rule-based Workflow Management

Rule-Based Workflow Management is a workflow management paradigm that automates process execution and control through explicitly defined rules specifying conditions, actions, and constraints to govern task initiation, sequencing, and routing within a workflow system.

23

Publications

1.1K

Citations

52

Authors

26

Institutions

Publications per year

2017–2026

0

Authors

52

  1. GK
    Gerti Kappel

    TU Wien, Austria

    3 publications · 126 citations

    3

    h-index

  2. WR
    Werner Retschitzegger

    Johannes Kepler University of Linz, Austria

    3 publications · 126 citations

    3

    h-index

  3. SR
    S. Rausch-Schott

    Johannes Kepler University of Linz, Austria

    3 publications · 126 citations

    3

    h-index

  4. BP
    Birgit Pröll

    Johannes Kepler University of Linz, Austria

    2 publications · 30 citations

    2

    h-index

  5. BZ
    Birgit Zimmermann

    Systems, Applications & Products in Data Processing (Germany), Germany

    2 publications · 37 citations

    2

    h-index

1–5 of 52

Venues

  1. Data & Knowledge Engineering

    DKE · 1 publications · 312 citations

    1

    h-index

  2. IEICE Transactions on Information and Systems

    1 publications · 24 citations

    1

    h-index

  3. Artificial Intelligence in Engineering

    1 publications · 51 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 153 citations

    1

    h-index

  5. Management Science

    1 publications · 85 citations

    1

    h-index

1–5