World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7833
World Ranking
8350
National Ranking
140

Overview

Dirk Fahland is affiliated with Eindhoven University of Technology in the Netherlands. Their research contributions are primarily situated in the fields of Computer Science and Business, Management and Accounting.

Their work spans various subfields including:

  • Management Information Systems
  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Management Science and Operations Research

Fahland's main topics of research cover:

  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Data Quality and Management
  • Distributed and Parallel Computing Systems
  • Big Data and Business Intelligence
  • Petri Nets in System Modeling

The scientist has contributed to multiple recent publications, including:

  • "AI-augmented Business Process Management Systems: A Research Manifesto" (2023), published in ACM Transactions on Management Information Systems
  • "Process Mining for Six Sigma" (2020), published in Business & Information Systems Engineering
  • "How well can a large language model explain business processes as perceived by users?" (2025), published in Data & Knowledge Engineering
  • "Supervised learning of process discovery techniques using graph neural networks" (2023), published in Information Systems
  • "Inferring Unobserved Events in Systems with Shared Resources and Queues" (2022), published in Fundamenta Informaticae

Frequent co-authors who have collaborated with Dirk Fahland include:

  • Ava Swevels
  • Wil M. P. van der Aalst
  • Marlon Dumas
  • Eva L. Klijn
  • Felix Mannhardt

The researcher has published extensively in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Information Systems
  • ACM Transactions on Management Information Systems
  • Data & Knowledge Engineering

In addition to journal articles, Dirk Fahland has contributed to books published by Springer Science+Business Media, including:

  • "Business Process Management" (2020)
  • "Business Process Management Forum" (2020)

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Discovering block-structured process models from event logs - a constructive approach

    Sander J. J. Leemans;Dirk Fahland;Wil M. P. van der Aalst

  • Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour

    Sjj Sander Leemans;D Dirk Fahland;Wmp Wil van der Aalst

  • Scalable process discovery and conformance checking

    Sander J. J. Leemans;Dirk Fahland;Wil M. P. van der Aalst

  • Declarative versus imperative process modeling languages : the issue of understandability

    Dirk Fahland;Daniel Lübke;Jan Mendling;Hajo A. Reijers

  • Model repair - aligning process models to reality

    Dirk Fahland;Wil M.P. van der Aalst

  • Discovering Block-Structured Process Models from Incomplete Event Logs

    Sjj Sander Leemans;D Dirk Fahland;Wmp Wil van der Aalst

  • Instantaneous Soundness Checking of Industrial Business Process Models

    Dirk Fahland;Cédric Favre;Barbara Jobstmann;Jana Koehler

  • Analysis on demand: Instantaneous soundness checking of industrial business process models

    Dirk Fahland;Cédric Favre;Jana Koehler;Niels Lohmann

  • Where did i misbehave? diagnostic information in compliance checking

    Elham Ramezani;Dirk Fahland;Wil M. P. van der Aalst

  • Process and deviation exploration with Inductive visual Miner

    Sjj Sander Leemans;D Dirk Fahland;van der Wmp Wil Aalst

  • Modeling and enacting complex data dependencies in business processes

    Andreas Meyer;Luise Pufahl;Dirk Fahland;Mathias Weske

  • ASM-based Semantics for BPEL: The Negative Control Flow.

    Dirk Fahland;Wolfgang Reisig

  • Repairing process models to reflect reality

    Dirk Fahland;Wil M. P. van der Aalst

  • Discovering Interacting Artifacts from ERP Systems

    Xixi Lu;Marijn Nagelkerke;Dennis van de Wiel;Dirk Fahland

  • Styles in business process modeling: an exploration and a model

    Jakob Pinggera;Pnina Soffer;Dirk Fahland;Matthias Weidlich

  • Automatic Discovery of Data-Centric and Artifact-Centric Processes

    Ehj Erik Nooijen;BF Boudewijn van Dongen;D Dirk Fahland

  • Artifact Lifecycle Discovery

    Viara Popova;Dirk Fahland;Marlon Dumas

  • Scalable process discovery with guarantees

    Sjj Sander Leemans;D Dirk Fahland;Wmp Wil van der Aalst

  • Declarative versus Imperative Process Modeling Languages: The Issue of Maintainability

    Dirk Fahland;Jan Mendling;Hajo A. Reijers;Barbara Weber

  • Business Process Execution Language for Web services

    Axel Martens;Christian Stahl;Daniela Weinberg;Dirk Fahland

Frequent Co-Authors

Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Matthias Weidlich
Matthias Weidlich Humboldt-Universität zu Berlin
Barbara Weber
Barbara Weber University of St. Gallen
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Marlon Dumas
Marlon Dumas University of Tartu
Mathias Weske
Mathias Weske Hasso Plattner Institute
Pnina Soffer
Pnina Soffer University of Haifa
Boudewijn F. van Dongen
Boudewijn F. van Dongen Eindhoven University of Technology
Wolfgang Reisig
Wolfgang Reisig Humboldt-Universität zu Berlin
Moe Thandar Wynn
Moe Thandar Wynn Queensland University of Technology

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