World's Best Scientists 2026 revealed!
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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
49
Citations
16859
World Ranking
5756
National Ranking
90

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Boudewijn F. van Dongen is affiliated with Eindhoven University of Technology in the Netherlands. Their research primarily focuses on computer science and business, management and accounting, with a significant number of publications contributing to these fields.

The scientist's research interests include several subfields such as management information systems, information systems, artificial intelligence, management science and operations research, and sociology and political science. Specific topics covered in their work comprise business process modeling and analysis, service-oriented architecture and web services, semantic web and ontologies, data quality and management, software system performance and reliability, petri nets in system modeling, and access control and trust.

Several frequent coauthors collaborate with Boudewijn F. van Dongen, including Marwan Hassani, Dominique Sommers, Natalia Sidorova, Felix Mannhardt, and Rashid Zaman. The collaboration breadth indicates an active research network within their domains.

The scientist has published extensively in various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Information Systems
  • Process Science
  • Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
  • Frontiers in Big Data

Boudewijn F. van Dongen's recent papers include:

  • "BPI Challenge 2020," 2020, 4TU.ResearchData
  • "Process science: the interdisciplinary study of socio-technical change," 2024, Process Science
  • "What averages do not tell," 2022, Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
  • "Prefix Imputation of Orphan Events in Event Stream Processing," 2021, Frontiers in Big Data
  • "Special issue on business process intelligence," 2020, Computing

In addition to articles, the scientist has contributed to book publications, including a work published by Springer Science+Business Media titled "Cooperative Information Systems" in 2023.

Best Publications

  • Process Mining Manifesto

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

  • Workflow mining: a survey of issues and approaches

    W. M. P. van der Aalst;B. F. van Dongen;J. Herbst;L. Maruster

  • The prom framework: a new era in process mining tool support

    B. F. van Dongen;A. K. A. de Medeiros;H. M. W. Verbeek;A. J. M. M. Weijters

  • Business process mining: An industrial application

    W. M. P. van der Aalst;H. A. Reijers;A. J. M. M. Weijters;B. F. van Dongen

  • Replaying history on process models for conformance checking and performance analysis

    Wil van der Aalst;Arya Adriansyah;Boudewijn van Dongen

  • Similarity of business process models: Metrics and evaluation

    Remco Dijkman;Marlon Dumas;Boudewijn van Dongen;Reina Käärik

  • Measuring Similarity between Business Process Models

    Boudewijn Dongen;Remco Dijkman;Jan Mendling

  • Conformance Checking Using Cost-Based Fitness Analysis

    A. Adriansyah;B.F. van Dongen;W.M.P. van der Aalst

  • Process Discovery using Integer Linear Programming

    J. M. E. M. van derWerf;B. F. van Dongen;C. A. J. Hurkens;A. Serebrenik

  • Process mining and verification of properties: an approach based on temporal logic

    W. M. P. van der Aalst;H. T. de Beer;B. F. van Dongen

  • XES, XESame, and ProM 6

    Hmw Eric Verbeek;Jcam Joos Buijs;BF Boudewijn van Dongen;Wmp Wil van der Aalst

  • On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery

    Jcam Joos Buijs;BF Boudewijn van Dongen;Wmp Wil van der Aalst

  • Conformance checking : relating processes and models, relating processes and models

    Josep Carmona;Boudewijn van Dongen;Andreas Solti;Matthias Weidlich

  • ProM 4.0: comprehensive support for real process analysis

    W. M. P. Van Der Aalst;B. F. Van Dongen;C. W. Güunther;R. S. Mans

  • Detection and prediction of errors in EPCs of the SAP reference model

    J. Mendling;H. M. W. Verbeek;B. F. van Dongen;W. M. P. van der Aalst

  • Discovering Workflow Performance Models from Timed Logs

    Wil M. P. van der Aalst;B. F. van Dongen

  • Supporting Flexible Processes through Recommendations Based on History

    Helen Schonenberg;Barbara Weber;Boudewijn Dongen;Wil Aalst

  • A Meta Model for Process Mining Data.

    Boudewijn F. van Dongen;Wil M. P. van der Aalst

  • Quality dimensions in process discovery : the importance of fitness, precision, generalization and simplicity

    Jcam Joos Buijs;van Bf Boudewijn Dongen;van der Wmp Wil Aalst

  • Process Mining: Overview and Outlook of Petri Net Discovery Algorithms

    Unknown

  • Process mining framework for software processes

    Vladimir Rubin;Christian W. Günther;Wil M. P. Van Der Aalst;Ekkart Kindler

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
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Remco Dijkman
Remco Dijkman Eindhoven University of Technology
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Dirk Fahland
Dirk Fahland Eindhoven University of Technology
Marcello La Rosa
Marcello La Rosa University of Melbourne
Massimiliano de Leoni
Massimiliano de Leoni University of Padua
Moe Thandar Wynn
Moe Thandar Wynn Queensland University of Technology
Michael Adams
Michael Adams University of Birmingham

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