H-Index & Metrics Top Publications
Jan Vanthienen

Jan Vanthienen

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 43 Citations 10,797 188 World Ranking 3900 National Ranking 44

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Data mining

Jan Vanthienen spends much of his time researching Data mining, Artificial intelligence, Machine learning, Process modeling and Artificial neural network. The concepts of his Data mining study are interwoven with issues in Information extraction, Domain knowledge and Rule-based system. The Bayesian network research Jan Vanthienen does as part of his general Machine learning study is frequently linked to other disciplines of science, such as Customer intelligence, therefore creating a link between diverse domains of science.

His Process modeling research is multidisciplinary, relying on both Mental effort, Dependency information and Business process discovery, Business process modeling. His studies deal with areas such as Event and Process mining as well as Business process discovery. His Business process modeling study combines topics from a wide range of disciplines, such as Business process management and Data science.

His most cited work include:

  • Process Mining Manifesto (684 citations)
  • Benchmarking Least Squares Support Vector Machine Classifiers (618 citations)
  • Benchmarking state-of-the-art classification algorithms for credit scoring (568 citations)

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

His primary areas of investigation include Data mining, Artificial intelligence, Data science, Machine learning and Process modeling. His Data mining research includes elements of Event, Process mining and Task. His works in Artificial neural network, Support vector machine, Decision tree and Least squares support vector machine are all subjects of inquiry into Artificial intelligence.

The study incorporates disciplines such as Business analytics, Field and Business intelligence in addition to Data science. He does research in Machine learning, focusing on Feature selection specifically. Jan Vanthienen combines subjects such as Business Process Model and Notation, Business process, Decision Model and Notation, Business process modeling and Separation of concerns with his study of Process modeling.

He most often published in these fields:

  • Data mining (21.53%)
  • Artificial intelligence (21.24%)
  • Data science (17.11%)

What were the highlights of his more recent work (between 2015-2021)?

  • Process modeling (16.81%)
  • Decision Model and Notation (5.60%)
  • Data science (17.11%)

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

Jan Vanthienen mainly focuses on Process modeling, Decision Model and Notation, Data science, Decision model and Business Process Model and Notation. His Process modeling research is multidisciplinary, incorporating elements of Business process management, Business process, Separation of concerns and Process management. His Decision Model and Notation study frequently intersects with other fields, such as Artificial intelligence.

His Artificial intelligence research integrates issues from Statistical relational learning, Time series and Natural language processing. His Data science research incorporates elements of Business analytics, Process mining, Workflow and Data analysis. His work carried out in the field of Decision model brings together such families of science as Management science, Decision table and Business decision mapping.

Between 2015 and 2021, his most popular works were:

  • Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies (45 citations)
  • Social network analytics for churn prediction in telco (42 citations)
  • The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics (37 citations)

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

  • Artificial intelligence
  • Machine learning
  • Programming language

His main research concerns Process modeling, Decision Model and Notation, Business Process Model and Notation, Data science and Separation of concerns. His studies in Process modeling integrate themes in fields like Dependency, Business process and Data mining. His Business Process Model and Notation study combines topics in areas such as Software engineering and Process management.

The Data science study combines topics in areas such as Process mining, Software analytics and Mobile phone. Jan Vanthienen interconnects Business information, Model checking and Business process discovery in the investigation of issues within Process mining. The various areas that he examines in his Statistical relational learning study include Machine learning and Artificial intelligence.

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

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

B Baesens;T Van Gestel;S Viaene;M Stepanova.
Journal of the Operational Research Society (2003)

1028 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

Benchmarking Least Squares Support Vector Machine Classifiers

Tony Van Gestel;Johan A. K. Suykens;Bart Baesens;Stijn Viaene.
Machine Learning (2004)

844 Citations

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

Bart Baesens;Rudy Setiono;Christophe Mues;Jan Vanthienen.
Management Science (2003)

589 Citations

Classification With Ant Colony Optimization

D. Martens;M. De Backer;R. Haesen;J. Vanthienen.
IEEE Transactions on Evolutionary Computation (2007)

504 Citations

Comprehensible credit scoring models using rule extraction from support vector machines

David Martens;Bart Baesens;Bart Baesens;Tony Van Gestel;Jan Vanthienen.
European Journal of Operational Research (2007)

490 Citations

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

Johan Huysmans;Karel Dejaeger;Christophe Mues;Jan Vanthienen.
decision support systems (2011)

310 Citations

Transformational issues of big data and analytics in networked business

Bart Baesens;Ravi Bapna;James R. Marsden;Jan Vanthienen.
Management Information Systems Quarterly (2014)

267 Citations

Bayesian neural network learning for repeat purchase modelling in direct marketing

Bart Baesens;Stijn Viaene;Dirk Van den Poel;Jan Vanthienen.
European Journal of Operational Research (2002)

260 Citations

Designing compliant business processes with obligations and permissions

Stijn Goedertier;Jan Vanthienen.
business process management (2006)

243 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 Jan Vanthienen

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