Dirk Fahland

Dirk Fahland

Technische Universiteit Eindhoven

H-index: 45

Europe-Netherlands

About Dirk Fahland

Dirk Fahland, With an exceptional h-index of 45 and a recent h-index of 30 (since 2020), a distinguished researcher at Technische Universiteit Eindhoven, specializes in the field of Distributed Systems, Business Processes, Process Mining, Scenarios, Synthesis.

His recent articles reflect a diverse array of research interests and contributions to the field:

How well can large language models explain business processes?

Generating Event Logs with CPN IDE

Inferring missing entity identifiers from context using event knowledge graphs

AI-augmented Business Process Management Systems

Why are my Pizzas late?

Event Knowledge Graphs for Auditing: A Case Study

Chit-Chat or Deep Talk: Prompt Engineering for Process Mining

Implementing Object-Centric Event Data Models in Event Knowledge Graphs

Dirk Fahland Information

University

Position

Associate Professor in Computer Science

Citations(all)

8224

Citations(since 2020)

4416

Cited By

5335

hIndex(all)

45

hIndex(since 2020)

30

i10Index(all)

86

i10Index(since 2020)

67

Email

University Profile Page

Technische Universiteit Eindhoven

Google Scholar

View Google Scholar Profile

Dirk Fahland Skills & Research Interests

Distributed Systems

Business Processes

Process Mining

Scenarios

Synthesis

Top articles of Dirk Fahland

Title

Journal

Author(s)

Publication Date

How well can large language models explain business processes?

arXiv preprint arXiv:2401.12846

Dirk Fahland

Fabian Fournier

Lior Limonad

Inna Skarbovsky

Ava JE Swevels

2024/1/23

Generating Event Logs with CPN IDE

Eric Verbeek

Dirk Fahland

2023

Inferring missing entity identifiers from context using event knowledge graphs

Ava Swevels

Remco Dijkman

Dirk Fahland

2023/9/1

AI-augmented Business Process Management Systems

M Dumas

F Fournier

L Limonad

A Marrella

M Montali

...

2023

Why are my Pizzas late?

Dirk Fahland

Fabiana Fournier

Lior Limonad

Inna Skarbovsky

Ava Je Swevels

2023/8/19

Event Knowledge Graphs for Auditing: A Case Study

Eva L Klijn

Dennis Preuss

Lulzim Imeri

Florin Baumann

Felix Mannhardt

...

2023/10/23

Chit-Chat or Deep Talk: Prompt Engineering for Process Mining

arXiv preprint arXiv:2307.09909

Urszula Jessen

Michal Sroka

Dirk Fahland

2023/7/19

Implementing Object-Centric Event Data Models in Event Knowledge Graphs

Ava Swevels

Dirk Fahland

Marco Montali

2023/10/23

Supervised learning of process discovery techniques using graph neural networks

Information Systems

Dominique Sommers

Vlado Menkovski

Dirk Fahland

2023/5/1

Process Mining from Jira Issues at a Large Company

Bavo Coremans

Arjen L Klomp

Satrio A Rukmono

Jacob Krüger

Dirk Fahland

...

2023/10/1

AI-augmented business process management systems: a research manifesto

ACM Transactions on Management Information Systems

Marlon Dumas

Fabiana Fournier

Lior Limonad

Andrea Marrella

Marco Montali

...

2023/1/31

The Interplay Between High-Level Problems and the Process Instances that Give Rise to Them

Bianka Bakullari

Jules van Thoor

Dirk Fahland

Wil MP van der Aalst

2023/9/1

Aggregating event knowledge graphs for task analysis

Eva L Klijn

Felix Mannhardt

Dirk Fahland

2022/10/23

Multi-dimensional process analysis

Dirk Fahland

2022/9/7

Process mining over multiple behavioral dimensions with event knowledge graphs

Dirk Fahland

2022/6/27

Process tree discovery using a probabilistic inductive miner

2022/11/15

Defining meaningful local process models

Mitchel Brunings

Dirk Fahland

Boudewijn van Dongen

2022/4/20

Extracting and pre-processing event logs

arXiv preprint arXiv:2211.04338

Dirk Fahland

2022/11/8

Gaining advantages from office occupation levels based on sensor data

Patrick Cornelis Adrianus Bastiaanssen

Dirk Fahland

Erandi Gonzalez Miranda

2022/1/18

: BPM 2020 Selected Papers in Foundations and Engineering

Dirk Fahland

Chiara Ghidini

Marlon Dumas

Manfred Reichert

2022/11

See List of Professors in Dirk Fahland University(Technische Universiteit Eindhoven)

Co-Authors

H-index: 95
David Lo

David Lo

Singapore Management University

H-index: 88
Jan Mendling

Jan Mendling

Humboldt-Universität zu Berlin

H-index: 76
Hajo A. Reijers

Hajo A. Reijers

Universiteit Utrecht

H-index: 68
Mathias Weske

Mathias Weske

Universität Potsdam

H-index: 59
Boudewijn van Dongen

Boudewijn van Dongen

Technische Universiteit Eindhoven

H-index: 53
Matthias Weidlich

Matthias Weidlich

Humboldt-Universität zu Berlin

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