2026 Jan Vanthienen: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	51	5239	5092	56	52	348	14656

Overview

Jan Vanthienen is affiliated with KU Leuven in Belgium and has a significant body of work spanning multiple fields such as Business, Management and Accounting, Computer Science, and Engineering. The primary subfields of their research include Management Information Systems, Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems, and Management Science and Operations Research.

The main topics of their research encompass:

Business Process Modeling and Analysis
Data Quality and Management
Service-Oriented Architecture and Web Services
Digital Transformation in Industry
Big Data and Business Intelligence
Flexible and Reconfigurable Manufacturing Systems
Topic Modeling

Among the recent papers authored, the following stand out:

Digital transformation as an interaction-driven perspective between business, society, and technology, 2021, Electronic Markets
Recommendations for enhancing the usability and understandability of process mining in healthcare, 2020, Artificial Intelligence in Medicine
Best practices for digital transformation based on a systematic literature review, 2023, Digital Transformation and Society
Fraud Detection of Bulk Cargo Theft in Port Using Bayesian Network Models, 2020, Applied Sciences
Investigating public intention to use shared mobility in Belgium through a survey, 2022, Case Studies on Transport Policy

Frequent collaborators in their research include Alexandre Goossens, Johannes De Smedt, Ziboud Van Veldhoven, Vedavyas Etikala, and María Óskarsdóttir.

Jan Vanthienen has published multiple papers in respected venues with several publication counts recorded in:

arXiv (Cornell University)
Digital Transformation and Society
Software & Systems Modeling
Proceedings of the Annual Hawaii International Conference on System Sciences
Electronic Markets

In addition to journal articles and conference papers, they authored a book titled Rules and Reasoning, published in 2021 by Springer Science+Business Media.

Best Publications

Process Mining Manifesto

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

1683
Citations
Benchmarking state-of-the-art classification algorithms for credit scoring

B Baesens;T Van Gestel;S Viaene;M Stepanova

1268
Citations
Benchmarking Least Squares Support Vector Machine Classifiers

Tony Van Gestel;Johan A. K. Suykens;Bart Baesens;Stijn Viaene

942
Citations
Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation

Bart Baesens;Rudy Setiono;Christophe Mues;Jan Vanthienen

715
Citations
Comprehensible credit scoring models using rule extraction from support vector machines

David Martens;Bart Baesens;Bart Baesens;Tony Van Gestel;Jan Vanthienen

575
Citations
Classification With Ant Colony Optimization

D. Martens;M. De Backer;R. Haesen;J. Vanthienen

570
Citations
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

Johan Huysmans;Karel Dejaeger;Christophe Mues;Jan Vanthienen

494
Citations
Transformational issues of big data and analytics in networked business

Bart Baesens;Ravi Bapna;James R. Marsden;Jan Vanthienen

400
Citations
Digital transformation as an interaction-driven perspective between business, society, and technology

Ziboud Van Veldhoven;Jan Vanthienen

294
Citations
Bayesian neural network learning for repeat purchase modelling in direct marketing

Bart Baesens;Stijn Viaene;Dirk Van den Poel;Jan Vanthienen

285
Citations
A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs

Jochen De Weerdt;Manu De Backer;Jan Vanthienen;Bart Baesens

278
Citations
Designing compliant business processes with obligations and permissions

Stijn Goedertier;Jan Vanthienen

251
Citations
Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers

Bart Baesens;Geert Verstraeten;Dirk Van den Poel;Michael Egmont-Petersen

229
Citations
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics

María Óskarsdóttir;Cristián Bravo;Carlos Sarraute;Jan Vanthienen

214
Citations
Active Trace Clustering for Improved Process Discovery

Jochen De Weerdt;Seppe vanden Broucke;Jan Vanthienen;Bart Baesens

210
Citations
Robust Process Discovery with Artificial Negative Events

Stijn Goedertier;David Martens;Jan Vanthienen;Bart Baesens

209
Citations
Predicting going concern opinion with data mining

David Martens;Liesbeth Bruynseels;Bart Baesens;Marleen Willekens

179
Citations
Neural network survival analysis for personal loan data

B Baesens;T Van Gestel;M Stepanova;D Van den Poel

172
Citations
Performance of classification models from a user perspective

David Martens;Jan Vanthienen;Wouter Verbeke;Bart Baesens

149
Citations
Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring

David Martens;Johan Huysmans;Rudy Setiono;Jan Vanthienen

140
Citations
Neural network survival analysis for personal loan data

Bart Baesens;Tony Van Gestel;M Stepanova;Jan Vanthienen

1
Citations

Frequent Co-Authors

Bart Baesens KU Leuven

David Martens University of Antwerp

Geert Wets Hasselt University

Marie-Francine Moens KU Leuven

Rudy Setiono National University of Singapore

Johan A. K. Suykens KU Leuven

Dirk Van den Poel Ghent University

Jan Mendling Humboldt-Universität zu Berlin

Frank Hoffmann TU Dortmund University

Kris Vanhaecht KU Leuven

External Links

Wikipedia of Jan Vanthienen Personal website of Jan Vanthienen Google Scholar page

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