D-Index & Metrics Best Publications
Jan Vanthienen

Jan Vanthienen

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 47 Citations 11,718 310 World Ranking 4160 National Ranking 45

Overview

What is he best known for?

The fields of study Jan Vanthienen is best known for:

  • Machine learning
  • Artificial neural network
  • Artificial intelligence

Jan Vanthienen regularly links together related areas like Classifier (UML) in his Artificial intelligence studies. With his scientific publications, his incorporates both Data mining and Knowledge extraction. In his works, he performs multidisciplinary study on Knowledge extraction and Data mining. His Machine learning study frequently links to adjacent areas such as Least squares support vector machine. Jan Vanthienen integrates many fields in his works, including Artificial neural network and Support vector machine. While working in this field, he studies both Support vector machine and Least squares support vector machine. Marketing is closely attributed to Business analysis in his work. His Business analysis study frequently links to adjacent areas such as Business model. His study brings together the fields of Business analytics and Business model.

His most cited work include:

  • Benchmarking state-of-the-art classification algorithms for credit scoring (660 citations)
  • Benchmarking Least Squares Support Vector Machine Classifiers (652 citations)
  • Process Mining Manifesto (602 citations)

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

The study of Artificial intelligence is intertwined with the study of Support vector machine in a number of ways. Much of his study explores Support vector machine relationship to Artificial intelligence. He performs multidisciplinary study on Data mining and Data science in his works. He undertakes interdisciplinary study in the fields of Data science and Data mining through his works. Jan Vanthienen conducted interdisciplinary study in his works that combined Process (computing) and Operating system. Borrowing concepts from Process (computing), Jan Vanthienen weaves in ideas under Operating system. By researching both Programming language and Software engineering, Jan Vanthienen produces research that crosses academic boundaries. He performs multidisciplinary study in the fields of Software engineering and Programming language via his papers. He conducts interdisciplinary study in the fields of Machine learning and Artificial neural network through his works.

Jan Vanthienen most often published in these fields:

  • Artificial intelligence (57.14%)
  • Data mining (51.43%)
  • Process (computing) (44.76%)

What were the highlights of his more recent work (between 2017-2021)?

  • Data science (46.15%)
  • Artificial intelligence (38.46%)
  • Data mining (38.46%)

In recent works Jan Vanthienen was focusing on the following fields of study:

His work in Predictive modelling addresses issues such as Machine learning, which are connected to fields such as Bayesian network and Ranking (information retrieval). He combines Bayesian network and Machine learning in his research. He focuses mostly in the field of Feature (linguistics), narrowing it down to matters related to Linguistics and, in some cases, Government (linguistics). His Government (linguistics) study often links to related topics such as Linguistics. His Multitude study which covers Epistemology that intersects with Quality (philosophy). His work on Epistemology expands to the thematically related Quality (philosophy). He combines Data science and Big data in his research. Jan Vanthienen performs integrative study on Big data and Analytics. Jan Vanthienen combines Analytics and Predictive analytics in his research.

Between 2017 and 2021, his most popular works were:

  • The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics (98 citations)
  • Digital transformation as an interaction-driven perspective between business, society, and technology (40 citations)
  • Augmenting processes with decision intelligence: Principles for integrated modelling (38 citations)

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

  • Gene
  • Process mining
  • Data mining

In his study, Quality (philosophy) is strongly linked to Epistemology, which falls under the umbrella field of Multitude. Quality (philosophy) and Epistemology are commonly linked in his work. He performs multidisciplinary study in Data science and Predictive analytics in his work. Jan Vanthienen integrates Predictive analytics and Analytics in his research. Jan Vanthienen merges many fields, such as Analytics and Big data, in his writings. Jan Vanthienen performs integrative study on Big data and Data mining in his works. Jan Vanthienen integrates Data mining with Data science in his study. His Decision process research extends to the thematically linked field of Management science. His study connects Management science and Decision process.

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.

Best Publications

Process Mining Manifesto

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

1407 Citations

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)

1102 Citations

Benchmarking Least Squares Support Vector Machine Classifiers

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

891 Citations

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

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

629 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)

528 Citations

Classification With Ant Colony Optimization

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

527 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)

376 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)

318 Citations

Bayesian neural network learning for repeat purchase modelling in direct marketing

Bart Baesens;Stijn Viaene;Dirk Van den Poel;Jan Vanthienen.
(2002)

271 Citations

Designing compliant business processes with obligations and permissions

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

246 Citations

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