Process Mining

Process Mining is a computational discipline within Business Process Management that analyzes event log data to automatically discover, monitor, and enhance operational processes by reconstructing actual execution behaviors.

1.3K

Publications

58.6K

Citations

2.6K

Authors

888

Institutions

Publications per year

2017–2026

672

Authors

2.6K

  1. WM
    Wil M. P. van der Aalst

    Eindhoven University of Technology, Netherlands

    175 publications · 14.9K citations

    62

    h-index

  2. MD
    Marlon Dumas

    University of Tartu, Estonia

    27 publications · 1.5K citations

    19

    h-index

  3. CF
    Carlos Fernández-Llatas

    Universitat Politècnica de València, Spain

    20 publications · 1.2K citations

    18

    h-index

  4. HA
    Hajo A. Reijers

    Eindhoven University of Technology, Netherlands

    20 publications · 2.1K citations

    17

    h-index

  5. JD
    Jochen De Weerdt

    KU Leuven, Belgium

    20 publications · 1.4K citations

    17

    h-index

1–5 of 2.6K

Venues

  1. Information Systems

    41 publications · 3.8K citations

    24

    h-index

  2. TU/e Research Portal

    Repository · 34 publications · 2.2K citations

    24

    h-index

  3. Expert Systems with Applications

    29 publications · 1.9K citations

    19

    h-index

  4. IEEE Transactions on Services Computing

    23 publications · 1.4K citations

    19

    h-index

  5. IEEE Access

    27 publications · 1.6K citations

    18

    h-index

1–5