World's Best Scientists 2026 revealed!
Wil M. P. van der Aalst

Wil M. P. van der Aalst

Award Badge
Best Scientists
2025
Award Badge
Computer Science
Germany
2026

D-Index & Metrics

Best Scientists

D-Index
181
Citations
150773
World Ranking
592
National Ranking
22

Computer Science

D-Index
182
Citations
143381
World Ranking
10
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Germany Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2021 - IEEE Fellow For contributions to process mining and workflow processes
  • 2020 - ACM Fellow For contributions to process mining, process management, and data science
  • 2014 - Royal Netherlands Academy of Arts and Sciences
  • 2011 - Member of Academia Europaea
  • Fellow of the International Federation for Information Processing (IFIP) for his impressive foundational contributions to Business Process Management by developing workflow management patterns and the YAWL language for workflow management
  • Fellow of the International Federation for Information Processing (IFIP) for his impressive foundational contributions to Business Process Management by developing workflow management patterns and the YAWL language for workflow management
  • Fellow of the International Federation for Information Processing (IFIP) for his impressive foundational contributions to Business Process Management by developing workflow management patterns and the YAWL language for workflow management
  • Fellow of the International Federation for Information Processing (IFIP) for his impressive foundational contributions to Business Process Management by developing workflow management patterns and the YAWL language for workflow management

Overview

Wil M. P. van der Aalst is affiliated with RWTH Aachen University in Germany. Their research spans multiple fields, predominantly in Computer Science, Business, Management and Accounting, and Engineering. The scientist's scholarly focus includes various subfields such as Management Information Systems, Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, and Management Science and Operations Research.

The primary topics covered in their work include Business Process Modeling and Analysis, Service-Oriented Architecture and Web Services, Semantic Web and Ontologies, Data Quality and Management, Flexible and Reconfigurable Manufacturing Systems, Big Data and Business Intelligence, and Manufacturing Process and Optimization.

Coauthors frequently collaborating with Wil M. P. van der Aalst are:

  • Gyunam Park
  • Majid Rafiei
  • Mahsa Pourbafrani
  • Sebastiaan J. van Zelst
  • Daniel Schuster

The scientist has published extensively in several venues, with the most frequent publication outlets being:

  • arXiv (Cornell University)
  • Business & Information Systems Engineering
  • Information Systems
  • Lecture notes in business information processing
  • SSRN Electronic Journal

Notable recent papers include:

  • Welcome to the Era of ChatGPT et al., 2023, Business & Information Systems Engineering
  • Process mining for healthcare: Characteristics and challenges, 2022, Journal of Biomedical Informatics
  • A Computer Science Perspective on Digital Transformation in Production, 2022, ACM Transactions on Internet of Things
  • Discovering Object-centric Petri Nets, 2020, Fundamenta Informaticae
  • Privacy-Preserving Process Mining in Healthcare, 2020, International Journal of Environmental Research and Public Health

Wil M. P. van der Aalst has contributed to book publications with Springer Science+Business Media, which include titles such as:

  • Analysis of Images, Social Networks and Texts (2021)
  • Analysis of Images, Social Networks and Texts (2020)
  • Recent Trends in Analysis of Images, Social Networks and Texts (2021)

Additionally, works published under the Interdisciplinary Excellence Accelerator Series include:

  • Internet of Production (2023)
  • Internet of Production (2023)

The scientist has received several awards including:

  • IEEE Fellow (2021) for contributions to process mining and workflow processes
  • ACM Fellow (2020) for contributions to process mining, process management, and data science
  • Member of the Royal Netherlands Academy of Arts and Sciences (2014)
  • Member of Academia Europaea (2011)
  • Fellow of the International Federation for Information Processing (IFIP) for foundational contributions to Business Process Management by developing workflow management patterns and the YAWL language for workflow management

Best Publications

  • Workflow Management: Models, Methods, and Systems

    Wil van der Aalst;Kees van Hee

  • Workflow Patterns

    W. M. P. Van Der Aalst;A. H. M. Ter Hofstede;B. Kiepuszewski;A. P. Barros

  • The application of Petri-nets to workflow management

    W.M.P. van der Aalst

  • Process mining

    Wil Van Der Aalst

  • Workflow mining: discovering process models from event logs

    W. van der Aalst;T. Weijters;L. Maruster

  • Business process management: a survey

    Wil M. P. Van Der Aalst;Arthur H. M. Ter Hofstede;Mathias Weske

  • Process Mining: Data Science in Action

    Wil van der Aalst

  • Data Science in Action

    Wil van der Aalst

  • Business Process Management: A Comprehensive Survey

    Wmp Wil Aalst;van der

  • YAWL: yet another workflow language

    W. M. P. van der Aalst;A. H. M. ter Hofstede

  • Process Mining: Discovery, Conformance and Enhancement of Business Processes

    Wil M. P. van der Aalst

  • Getting the Data

    Wil M. P. van der Aalst

  • 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

  • Process Aware Information Systems: Bridging People and Software Through Process Technology

    Marlon Dumas;Wil M. van der Aalst;Arthur H. ter Hofstede

  • Verification of Workflow Nets

    Wil M. P. van der Aalst

  • Conformance checking of processes based on monitoring real behavior

    A. Rozinat;W. M. P. van der Aalst

  • 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

  • Fuzzy mining: adaptive process simplification based on multi-perspective metrics

    Christian W. Günther;Wil M. P. Van Der Aalst

  • Business process mining: An industrial application

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

  • YAWL: yet another workflow language (revised version)

    W.M.P. van der Aalst;A.H.M. ter Hofstede

  • Process mining: making knowledge discovery process centric

    Wil van der Aalst

Frequent Co-Authors

Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Massimiliano de Leoni
Massimiliano de Leoni University of Padua
Boudewijn F. van Dongen
Boudewijn F. van Dongen Eindhoven University of Technology
Marlon Dumas
Marlon Dumas University of Tartu
Marcello La Rosa
Marcello La Rosa University of Melbourne
Dirk Fahland
Dirk Fahland Eindhoven University of Technology
Michael Rosemann
Michael Rosemann Queensland University of Technology
Moe Thandar Wynn
Moe Thandar Wynn Queensland University of Technology
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Fabrizio Maria Maggi
Fabrizio Maria Maggi Free University of Bozen-Bolzano

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