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

D-Index & Metrics

Computer Science

D-Index
95
Citations
43298
World Ranking
456
National Ranking
1

Research.com Recognitions

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

Overview

Marlon Dumas is affiliated with the University of Tartu in Estonia. Their research primarily centers on topics within Business Process Modeling and Analysis, with additional focus on Service-Oriented Architecture and Web Services, Data Quality and Management, Simulation Techniques and Applications, Big Data and Business Intelligence, Scheduling and Optimization Algorithms, and Robotic Process Automation Applications.

The scientist's main fields of study include Business, Management and Accounting, Computer Science, and Decision Sciences. More specifically, their work covers subfields such as Management Information Systems, Information Systems, Management Science and Operations Research, Industrial and Manufacturing Engineering, and Artificial Intelligence.

Frequent publication venues for Marlon Dumas comprise arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Information Systems, PeerJ Computer Science, and Business & Information Systems Engineering.

Several recent papers authored or coauthored by the scientist are:

  • "The biggest business process management problems to solve before we die" (2023) published in Computers in Industry
  • "Automated discovery of business process simulation models from event logs" (2020) published in Decision Support Systems
  • "Robotic Process Mining: Vision and Challenges" (2020) published in Business & Information Systems Engineering
  • "AI-augmented Business Process Management Systems: A Research Manifesto" (2023) published in ACM Transactions on Management Information Systems
  • "Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study" (2021) published in Business & Information Systems Engineering

Marlon Dumas has collaborated frequently with coauthors including David Chapela-Campa, Marcello La Rosa, Fredrik Milani, Artem Polyvyanyy, and Gamal Elkoumy.

The scientist has published books with Springer Science+Business Media, including:

  • "Business Process Management" (2020)
  • "Business Process Management Forum" (2020)
  • "Advances in Databases and Information Systems" (2021)

Best Publications

  • QoS-aware middleware for Web services composition

    Liangzhao Zeng;B. Benatallah;A.H.H. Ngu;M. Dumas

  • Fundamentals of Business Process Management

    Marlon Dumas;Marcello La Rosa;Jan Mendling;Hajo A. Reijers

  • Semantics and analysis of business process models in BPMN

    Remco M. Dijkman;Marlon Dumas;Chun Ouyang

  • Quality driven web services composition

    Liangzhao Zeng;Boualem Benatallah;Marlon Dumas;Jayant Kalagnanam

  • Process Mining Manifesto

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

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

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

  • Similarity of business process models: Metrics and evaluation

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

  • The Self-Serv environment for Web services composition

    B. Benatallah;Q.Z. Sheng;M. Dumas

  • Blockchains for Business Process Management - Challenges and Opportunities

    Jan Mendling;Ingo Weber;Wil Van Der Aalst;Jan Vom Brocke

  • Declarative composition and peer-to-peer provisioning of dynamic Web services

    B. Benatallah;M. Dumas;Q.Z. Sheng;A.H.H. Ngu

  • Formal semantics and analysis of control flow in WS-BPEL

    Chun Ouyang;Eric Verbeek;Wil M. P. van der Aalst;Stephan Breutel

  • UML Activity Diagrams as a Workflow Specification Language

    Marlon Dumas;Arthur H. M. ter Hofstede

  • On the suitability of BPMN for business process modelling

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

  • Predictive Business Process Monitoring with LSTM Neural Networks

    Niek Tax;Ilya Verenich;Marcello La Rosa;Marlon Dumas

  • Service interaction patterns

    Alistair Barros;Marlon Dumas;Arthur H. M. ter Hofstede

  • Graph Matching Algorithms for Business Process Model Similarity Search

    Remco Dijkman;Marlon Dumas;Luciano García-Bañuelos

  • Analysis of Web Services Composition Languages: The Case of BPEL4WS

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

  • Automated Discovery of Process Models from Event Logs: Review and Benchmark

    Adriano Augusto;Raffaele Conforti;Marlon Dumas;Marcello La Rosa

  • Design and Implementation of the YAWL System

    Wil M.P. van der Aalst;Wil M.P. van der Aalst;Lachlan J. Aldred;Marlon Dumas;Arthur H.M. ter Hofstede

  • Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

    Irene Teinemaa;Marlon Dumas;Marcello La Rosa;Fabrizio Maria Maggi

  • Formal semantics and analysis of control flow in WS-BPEL

    C. Ouyang;W.M.P. van der Aalst;S. Breutel;M. Dumas

  • Service interaction patterns : towards a reference framework for service-based business process interconnection

    Alistair P. Barros;Marlon Dumas;Arthur H.M. ter Hofstede

  • Blockchains for Business Process Management - Challenges and Opportunities

    Jan Mendling;Ingo Weber;Wil van der Aalst;Jan vom Brocke

Frequent Co-Authors

Marcello La Rosa
Marcello La Rosa University of Melbourne
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Fabrizio Maria Maggi
Fabrizio Maria Maggi Free University of Bozen-Bolzano
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Remco Dijkman
Remco Dijkman Eindhoven University of Technology
Ingo Weber
Ingo Weber Technical University of Berlin
Boualem Benatallah
Boualem Benatallah Dublin City University
Alistair Barros
Alistair Barros Queensland University of Technology
Artem Polyvyanyy
Artem Polyvyanyy University of Melbourne

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