H-Index & Metrics Top Publications
Wil M. P. van der Aalst

Wil M. P. van der Aalst

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 119 Citations 64,591 567 World Ranking 52 National Ranking 4

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Artificial intelligence
  • Operating system

Wil M. P. van der Aalst focuses on Business process, Process mining, Petri net, Workflow and Process modeling. His work is dedicated to discovering how Business process, Process management are connected with Information management and other disciplines. Wil M. P. van der Aalst combines subjects such as Data mining, Business process discovery, Data science, Event and Conformance checking with his study of Process mining.

He has included themes like Correctness and Theoretical computer science in his Petri net study. His Workflow research incorporates elements of Service-oriented architecture, Collaborative software, Exception handling and Document management system. The concepts of his Process modeling study are interwoven with issues in Machine learning, Software and Decision support system, Artificial intelligence.

His most cited work include:

  • Process Mining: Discovery, Conformance and Enhancement of Business Processes (1437 citations)
  • Workflow Management: Models, Methods, and Systems (1277 citations)
  • Business process management: a survey (1135 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Process mining, Process modeling, Business process, Event and Business process discovery. His studies deal with areas such as Conformance checking, Data mining and Data science as well as Process mining. Wil M. P. van der Aalst works mostly in the field of Process modeling, limiting it down to topics relating to Petri net and, in certain cases, Theoretical computer science and Concurrency, as a part of the same area of interest.

Wil M. P. van der Aalst has researched Business process in several fields, including Software engineering, Workflow and Process management. His Software engineering study incorporates themes from Business Process Execution Language, Database, Systems engineering and Workflow management system, XPDL. His Event research incorporates themes from Variety and Resource.

He most often published in these fields:

  • Process mining (62.12%)
  • Process modeling (38.42%)
  • Business process (33.60%)

What were the highlights of his more recent work (between 2018-2021)?

  • Process mining (62.12%)
  • Event (33.33%)
  • Process modeling (38.42%)

In recent papers he was focusing on the following fields of study:

Wil M. P. van der Aalst spends much of his time researching Process mining, Event, Process modeling, Business process discovery and Data mining. The Process mining study combines topics in areas such as Data science, Context, Software engineering and Conformance checking. His Event research is multidisciplinary, incorporating perspectives in Distributed computing, Object, Resource, System dynamics and Data structure.

His study looks at the relationship between Process modeling and topics such as Business process management, which overlap with Workflow. Business process discovery is a subfield of Business process modeling that Wil M. P. van der Aalst explores. His research in Data mining tackles topics such as Graph which are related to areas like Time complexity and Uncertain data.

Between 2018 and 2021, his most popular works were:

  • Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science (52 citations)
  • Online conformance checking: relating event streams to process models using prefix-alignments (33 citations)
  • Earth movers’ stochastic conformance checking (22 citations)

In his most recent research, the most cited papers focused on:

  • Programming language
  • Artificial intelligence
  • Operating system

His main research concerns Process mining, Event, Process modeling, Business process discovery and Data mining. His Process mining research is under the purview of Business process. His work on Business process management as part of general Business process research is often related to Sample, thus linking different fields of science.

His study in Process modeling is interdisciplinary in nature, drawing from both Data modeling, Distributed computing, Business Process Model and Notation, Graph and Abstract process. His study explores the link between Business process discovery and topics such as Object that cross with problems in Information retrieval and Identifier. His research integrates issues of Context, Chaotic and Trajectory in his study of Data mining.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Process mining

Wil Van Der Aalst.
Communications of The ACM (2012)

3357 Citations

Workflow Management: Models, Methods, and Systems

Wmp Wil van der Aalst;KM Kees van Hee.
(2001)

3136 Citations

Business process management: a survey

Wil M. P. Van Der Aalst;Arthur H. M. Ter Hofstede;Mathias Weske.
business process management (2003)

2276 Citations

Getting the Data

Wil M. P. van der Aalst.
(2011)

1896 Citations

Process Mining: Discovery, Conformance and Enhancement of Business Processes

Wil M. P. van der Aalst.
(2011)

1831 Citations

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

Marlon Dumas;Wil M. van der Aalst;Arthur H. ter Hofstede.
(2005)

1337 Citations

Process Mining: Data Science in Action

Wil van der Aalst.
(2016)

1247 Citations

Verification of Workflow Nets

Wil M. P. van der Aalst.
applications and theory of petri nets (1997)

1117 Citations

Process Mining Manifesto

Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri.
business process management (2012)

1028 Citations

Case handling: a new paradigm for business process support

Wil M. P. van der Aalst;Mathias Weske.
data and knowledge engineering (2005)

914 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Wil M. P. van der Aalst

Manfred Reichert

Manfred Reichert

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Jan Mendling

Jan Mendling

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Hajo A. Reijers

Hajo A. Reijers

Utrecht University

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Marlon Dumas

Marlon Dumas

University of Tartu

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Mathias Weske

Mathias Weske

Hasso Plattner Institute

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Stefanie Rinderle-Ma

Stefanie Rinderle-Ma

Technical University of Munich

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Barbara Weber

Barbara Weber

University of St. Gallen

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Marcello La Rosa

Marcello La Rosa

University of Melbourne

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Fabrizio Maria Maggi

Fabrizio Maria Maggi

Free University of Bozen-Bolzano

Publications: 100

Frank Leymann

Frank Leymann

University of Stuttgart

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Arthur H. M. ter Hofstede

Arthur H. M. ter Hofstede

Queensland University of Technology

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Matthias Weidlich

Matthias Weidlich

Humboldt-Universität zu Berlin

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Marco Montali

Marco Montali

Free University of Bozen-Bolzano

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Jan C. Recker

Jan C. Recker

Universität Hamburg

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Jan Vanthienen

Jan Vanthienen

KU Leuven

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