Adaptive Process Automation

Adaptive Process Automation is a process automation framework that dynamically adjusts workflows and decision logic in response to changing environmental conditions, operational data, or user interactions through integrated feedback loops, machine learning, and real-time monitoring.

16

Publications

600

Citations

56

Authors

23

Institutions

Publications per year

2017–2026

5

Authors

56

  1. SS
    Sebastian Sardiña

    RMIT University, Australia

    3 publications · 149 citations

    3

    h-index

  2. AM
    Andrea Marrella

    Sapienza University of Rome, Italy

    3 publications · 149 citations

    3

    h-index

  3. MM
    Massimo Mecella

    Sapienza University of Rome, Italy

    3 publications · 149 citations

    3

    h-index

  4. JS
    Juergen Sauer

    University of Fribourg, Switzerland

    2 publications · 72 citations

    2

    h-index

  5. DW
    David Wastell

    University of Manchester, United Kingdom

    2 publications · 72 citations

    2

    h-index

1–5 of 56

Venues

  1. 2

    h-index

  2. Ergonomics

    2 publications · 72 citations

    2

    h-index

  3. Organic Process Research & Development

    1 publications · 72 citations

    1

    h-index

  4. ACM Transactions on Intelligent Systems and Technology

    TIST · 1 publications · 81 citations

    1

    h-index

  5. ISA Transactions

    1 publications · 30 citations

    1

    h-index

1–5