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
Parents
12
PM4Py: A process mining library for Python
Alessandro Berti, Sebastiaan van Zelst, Daniel Schuster · Software Impacts · 2023 · 149 citations · Full text
Defining Cases and Variants for Object-Centric Event Data
Jan Niklas Adams, Daniel Schuster, Seth Schmitz et al. · 2022 · 39 citations
1–5 of 12
20
Eindhoven University of Technology, Netherlands
6 publications · 240 citations
6
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 20
14
RWTH Aachen University
Aachen, Germany
6 h-index
15 publications
524 citations
Fraunhofer Institute for Applied Information Technology
Sankt Augustin, Germany
3 h-index
5 publications
507 citations
Politecnico di Milano
Milan, Italy
1 h-index
2 publications
30 citations
KU Leuven
Leuven, Belgium
1 h-index
3 publications
102 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
2 publications
30 citations
University of Southampton
Southampton, United Kingdom
1 h-index
1 publications
34 citations

Stockholm University
Stockholm, Sweden
1 h-index
1 publications
18 citations
Kista Photonics Research Center
Kista, Sweden
1 h-index
1 publications
18 citations
1–8 of 14
2 publications · 33 citations
2
h-index
2 publications · 169 citations
2
h-index
1 publications · 75 citations
1
h-index
1 publications · 34 citations
1
h-index
1 publications · 31 citations
1
h-index
1–5