World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6328
World Ranking
11155
National Ranking
200

Dirk Thierens publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Dirk Thierens sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Dirk Thierens D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Dirk Thierens sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

  • Mixing in Genetic Algorithms

    Dirk Thierens;David E. Goldberg

  • Convergence Models of Genetic Algorithm Selection Schemes

    Dirk Thierens;David E. Goldberg

  • An Adaptive Pursuit Strategy for Allocating Operator Probabilities.

    Dirk Thierens

  • Toward a Better Understanding of Mixing in Genetic Algorithms

    David E. Goldberg;Kalyanmoy Deb;Dirk Thierens

  • Elitist recombination: an integrated selection recombination GA

    D. Thierens;D. Goldberg

  • Adaptive mutation rate control schemes in genetic algorithms

    D. Thierens

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

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

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

    Peter A. N. Bosman;Dirk Thierens

  • Scalability problems of simple genetic algorithms

    Dirk Thierens

  • Optimal mixing evolutionary algorithms

    Dirk Thierens;Peter A.N. Bosman

  • Continuous iterated density estimation evolutionary algorithms within the IDEA framework

    P.A.N. Bosman;D. Thierens

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

    Peter A.N. Bosman;Dirk Thierens

  • Linkage information processing in distribution estimation algorithms

    Peter A. N. Bosman;Dirk Thierens

  • The linkage tree genetic algorithm

    Dirk Thierens

  • Adaptive Strategies for Operator Allocation

    Dirk Thierens

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

    Peter A. Bosman;Jörn Grahl;Dirk Thierens

  • Selection schemes, elitist recombination, and selection intensity

    Dirk Thierens

  • Genetic Weight Optimization of a Feedforward Neural Network Controller

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

  • The naive MIDEA: a baseline multi-objective EA

    Peter A. N. Bosman;Dirk Thierens

  • Genetic and Evolutionary Computation – GECCO 2004

    Unknown

Frequent Co-Authors

Peter A. N. Bosman
Peter A. N. Bosman Centrum Wiskunde & Informatica
David E. Goldberg
David E. Goldberg University of Illinois at Urbana-Champaign
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Mark de Berg
Mark de Berg Eindhoven University of Technology
Martin Pelikan
Martin Pelikan University of Missouri
Riccardo Poli
Riccardo Poli University of Essex
Benjamin Doerr
Benjamin Doerr École Polytechnique
Kenneth O. Stanley
Kenneth O. Stanley University of Central Florida
Julian Togelius
Julian Togelius New York University

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