A. Rozinat
Papers
1
Total Citations
27
H-Index
1
About
Anne Rozinat is a pioneering researcher in the field of process mining, with a particular focus on analyzing complex, multi-agent systems. Her seminal work, "Analyzing Multi-agent Activity Logs Using Process Mining Techniques" (2009), which has garnered 27 citations, laid foundational groundwork for applying process mining to distributed and collaborative environments. Rozinat's major contributions center on developing techniques to extract, model, and analyze behavioral patterns from event logs generated by multiple interacting agents, enabling the discovery of underlying processes, concurrency, and coordination challenges. Her research has significantly advanced the ability to audit, improve, and understand workflows in domains ranging from healthcare to business operations. Beyond this key paper, Rozinat has co-authored influential studies on conformance checking and process discovery, earning her recognition as a leading voice in the process mining community. Her work is frequently cited by both academics and practitioners seeking to bridge the gap between raw event data and actionable process insights, making her a vital figure in the evolution of data-driven process analysis.
Research Focus
Key Achievements
Top Papers
- 1Analyzing Multi-agent Activity Logs Using Process Mining Techniques27 citations · 2009