Object-centric Process Mining

Object-Centric Process Mining is a process mining paradigm that extends traditional event log analysis by modeling and analyzing multiple interrelated object types and their lifecycles within a unified process view, thereby enabling the reconstruction of process behavior from heterogeneous, object-aware event data rather than focusing solely on case-centric traces.

12

Publications

502

Citations

20

Authors

14

Institutions

Publications per year

2017–2026

11

Variants

Ocpm

Authors

20

  1. WM
    Wil M. P. van der Aalst

    Eindhoven University of Technology, Netherlands

    6 publications · 240 citations

    6

    h-index

  2. JN
    Jan Niklas Adams

    RWTH Aachen University, Germany

    4 publications · 116 citations

    4

    h-index

  3. DS
    Daniel Schuster

    Technische Universität Dresden, Germany

    2 publications · 188 citations

    2

    h-index

  4. AB
    Alessandro Berti

    RWTH Aachen University, Germany

    2 publications · 198 citations

    2

    h-index

  5. GP
    Gyunam Park

    Animal and Plant Quarantine Agency, South Korea

    2 publications · 41 citations

    2

    h-index

1–5 of 20

Venues

  1. IEEE Access

    2 publications · 33 citations

    2

    h-index

  2. Software Impacts

    2 publications · 169 citations

    2

    h-index

  3. Mathematics

    1 publications · 75 citations

    1

    h-index

  4. Computers in Industry

    1 publications · 34 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 31 citations

    1

    h-index

1–5