World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
8836
World Ranking
9594
National Ranking
173

Mike Preuss 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 Mike Preuss 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: 261 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Mike Preuss 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 Mike Preuss 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Mike Preuss is affiliated with Leiden University in the Netherlands and has a broad research portfolio primarily in computer science. Their work encompasses significant contributions to artificial intelligence and optimization algorithms, with a focus on both theoretical and applied aspects.

Preuss's main fields of study include:

  • Computer Science

Their subfields cover a wide range, highlighting the interdisciplinary nature of their research:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Sociology and Political Science
  • Computer Vision and Pattern Recognition
  • Economics and Econometrics

Preuss has contributed to research topics such as:

  • Reinforcement Learning in Robotics
  • Artificial Intelligence in Games
  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Sports Analytics and Performance
  • Evolutionary Algorithms and Applications
  • Misinformation and Its Impacts

The scientist has published extensively, with recent papers including:

  • Hybridizing Niching, Particle Swarm Optimization, and Evolution Strategy for Multimodal Optimization (2020) in IEEE Transactions on Cybernetics
  • Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game (2020) in IEEE Transactions on Games
  • High-accuracy model-based reinforcement learning, a survey (2023) in Artificial Intelligence Review
  • Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization (2021) in Computers & Operations Research
  • Models Matter: the impact of single-step retrosynthesis on synthesis planning (2024) in Digital Discovery

Their frequent co-authors include:

  • Aske Plaat
  • Alan Kai Hassen
  • Carola Doerr
  • Michael Emmerich
  • Christian Grimme

Mike Preuss has appeared multiple times in leading publication venues, notably:

  • arXiv (Cornell University)
  • KI - Künstliche Intelligenz
  • IEEE Transactions on Games
  • 2021 IEEE Conference on Games (CoG)
  • Evolutionary Computation

The researcher also has a record of book publications, mainly with Springer Science+Business Media, including:

  • Parallel Problem Solving from Nature - PPSN XVI (2020)
  • Metaheuristics for Finding Multiple Solutions (2021)
  • Disinformation in Open Online Media (2020)

Best Publications

  • Planning chemical syntheses with deep neural networks and symbolic AI

    Marwin H. S. Segler;Mike Preuss;Mark P. Waller

  • A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft

    Santiago Ontanon;Gabriel Synnaeve;Alberto Uriarte;Florian Richoux

  • Sequential parameter optimization

    T. Bartz-Beielstein;C.W.G. Lasarczyk;M. Preuss

  • Exploratory landscape analysis

    Olaf Mersmann;Bernd Bischl;Heike Trautmann;Mike Preuss

  • Experimental Methods for the Analysis of Optimization Algorithms

    Thomas Bartz-Beielstein;Marco Chiarandini;Lus Paquete;Mike Preuss

  • A Framework for Distributed Evolutionary Algorithms

    Maribel García Arenas;Pierre Collet;A. E. Eiben;Márk Jelasity

  • Algorithm selection based on exploratory landscape analysis and cost-sensitive learning

    Bernd Bischl;Olaf Mersmann;Heike Trautmann;Mike Preuß

  • Social Bots: Human-Like by Means of Human Control?

    Christian Grimme;Mike Preuss;Lena Adam;Heike Trautmann

  • Multiobjective exploration of the StarCraft map space

    Julian Togelius;Mike Preuss;Nicola Beume;Simon Wessing

  • Multimodal Optimization by Means of a Topological Species Conservation Algorithm

    C Stoean;M Preuss;R Stoean;D Dumitrescu

  • Procedural Content Generation: Goals, Challenges and Actionable Steps

    Julian Togelius;Alex J. Champandard;Pier Luca Lanzi;Michael Mateas

  • Capabilities of EMOA to detect and preserve equivalent pareto subsets

    Günter Rudolph;Boris Naujoks;Mike Preuss

  • Towards multiobjective procedural map generation

    Julian Togelius;Mike Preuss;Georgios N. Yannakakis

  • Multimodal Optimization by Means of Evolutionary Algorithms

    Mike Preuss

  • The 2009 Simulated Car Racing Championship

    Daniele Loiacono;Pier Luca Lanzi;Julian Togelius;Enrique Onieva

  • Benchmarking evolutionary algorithms: towards exploratory landscape analysis

    Olaf Mersmann;Mike Preuss;Heike Trautmann

  • Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms

    VL Huang;AK Qin;K Deb;E Zitzler

  • Pareto set and EMOA behavior for simple multimodal multiobjective functions

    Mike Preuss;Boris Naujoks;Günter Rudolph

  • Niching the CMA-ES via nearest-better clustering

    Mike Preuss

  • Experimental Research in Evolutionary Computation

    Thomas Bartz-Beielstein;Mike Preuss

  • Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms

    Ofer M. Shir;Mike Preuss;Boris Naujoks;Michael Emmerich

Frequent Co-Authors

Günter Rudolph
Günter Rudolph TU Dortmund University
Heike Trautmann
Heike Trautmann University of Münster
Julian Togelius
Julian Togelius New York University
Georgios N. Yannakakis
Georgios N. Yannakakis University of Malta
Michael Emmerich
Michael Emmerich Leiden University
Ferrante Neri
Ferrante Neri University of Nottingham
Sebastian Risi
Sebastian Risi IT University of Copenhagen
Gianni A. Di Caro
Gianni A. Di Caro Carnegie Mellon University
Bernd Bischl
Bernd Bischl Ludwig-Maximilians-Universität München
Thomas Bäck
Thomas Bäck Leiden University

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