2026 Dirk Thierens: 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	36	11157	10840	200	190	127	6328

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

11157

10840

200

190

127

6328

Overview

Dirk Thierens is affiliated with Utrecht University in the Netherlands. Their research primarily focuses on computer science, with a significant emphasis on artificial intelligence and computational theory and mathematics. They have contributed extensively to topics such as advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, and evolutionary algorithms and their applications.

Their recent publications cover a range of subjects within these fields. Notable papers include:

A reliable ensemble based approach to semi-supervised learning (2021, Knowledge-Based Systems)
A semi-supervised decision support system to facilitate antibiotic stewardship for urinary tract infections (2022, Computers in Biology and Medicine)
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms (2021, Proceedings of the Genetic and Evolutionary Computation Conference Companion)
Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms (2023, Evolutionary Computation)
Benchmark generator for TD Mk landscapes (2021, Proceedings of the Genetic and Evolutionary Computation Conference Companion)

Dirk Thierens frequently collaborates with a set of co-authors, including:

Peter A. N. Bosman
Tanja Alderliesten
Arthur Guijt
Sjoerd de Vries
Anton Bouter

The scientist publishes regularly in venues such as:

Proceedings of the Genetic and Evolutionary Computation Conference Companion
arXiv (Cornell University)
Proceedings of the Genetic and Evolutionary Computation Conference
Knowledge-Based Systems
Computers in Biology and Medicine

Their work spans key topics including:

Advanced Multi-Objective Optimization Algorithms
Metaheuristic Optimization Algorithms Research
Evolutionary Algorithms and Applications
Machine Learning and Data Classification
Anomaly Detection Techniques and Applications
Machine Learning and Algorithms
Text and Document Classification Technologies

Best Publications

The balance between proximity and diversity in multiobjective evolutionary algorithms

P.A.N. Bosman;D. Thierens

1198
Citations
Mixing in Genetic Algorithms

Dirk Thierens;David E. Goldberg

368
Citations
Convergence Models of Genetic Algorithm Selection Schemes

Dirk Thierens;David E. Goldberg

286
Citations
An Adaptive Pursuit Strategy for Allocating Operator Probabilities.

Dirk Thierens

265
Citations
Toward a Better Understanding of Mixing in Genetic Algorithms

David E. Goldberg;Kalyanmoy Deb;Dirk Thierens

234
Citations
Elitist recombination: an integrated selection recombination GA

D. Thierens;D. Goldberg

232
Citations
Adaptive mutation rate control schemes in genetic algorithms

D. Thierens

217
Citations
Domino convergence, drift, and the temporal-salience structure of problems

D. Thierens;D.E. Goldberg;A.G. Pereira

194
Citations
Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA

Peter A. N. Bosman;Dirk Thierens

193
Citations
Scalability problems of simple genetic algorithms

Dirk Thierens

192
Citations
Optimal mixing evolutionary algorithms

Dirk Thierens;Peter A.N. Bosman

146
Citations
Continuous iterated density estimation evolutionary algorithms within the IDEA framework

P.A.N. Bosman;D. Thierens

136
Citations
Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms

Peter A.N. Bosman;Dirk Thierens

128
Citations
Linkage information processing in distribution estimation algorithms

Peter A. N. Bosman;Dirk Thierens

107
Citations
The linkage tree genetic algorithm

Dirk Thierens

101
Citations
Adaptive Strategies for Operator Allocation

Dirk Thierens

97
Citations
Enhancing the Performance of Maximum---Likelihood Gaussian EDAs Using Anticipated Mean Shift

Peter A. Bosman;Jörn Grahl;Dirk Thierens

85
Citations
Selection schemes, elitist recombination, and selection intensity

Dirk Thierens

82
Citations
Genetic Weight Optimization of a Feedforward Neural Network Controller

Dirk Thierens;Johan Suykens;Joos Vandewalle;Bart De Moor

78
Citations
The naive MIDEA: a baseline multi-objective EA

Peter A. N. Bosman;Dirk Thierens

77
Citations
Genetic and Evolutionary Computation – GECCO 2004

Unknown

19
Citations

Frequent Co-Authors

Peter A. N. Bosman Centrum Wiskunde & Informatica

David E. Goldberg University of Illinois at Urbana-Champaign

Kalyanmoy Deb Michigan State University

Mark de Berg Eindhoven University of Technology

Martin Pelikan University of Missouri

Riccardo Poli University of Essex

Benjamin Doerr École Polytechnique

Kenneth O. Stanley University of Central Florida

Günther R. Raidl TU Wien

Julian Togelius New York University

External Links

Personal website of Dirk Thierens Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Considering a degree in Computer Science opens doors to various related fields and flexible study pathways. Many students now balance their studies with work or life commitments, making online degrees a practical option. If you're looking to advance your tech skills quickly, explore a fast track computer science degree to earn your qualifications in less time.

Diverse career opportunities also exist beyond core computer science. For those interested in sustainability or technology's environmental impact, pursuing an environmental science degree offers pathways in research, policy, and industry roles. Similarly, engineering degrees are increasingly accessible online. You can search for environmental engineering degrees online and even the cheapest online master's mechanical engineering programs to expand your expertise in high-demand industries.

Exploring these related online degrees and career pathways can give you a competitive edge, broaden your job prospects, and let you tailor your education to your interests and goals.