World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12838
World Ranking
6704
National Ranking
402

Simon M. Lucas 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 Simon M. Lucas 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Simon M. Lucas 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 Simon M. Lucas 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Simon M. Lucas is affiliated with Queen Mary University of London in the United Kingdom. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence and its applications in games and related areas.

They have contributed extensively to the study of Artificial Intelligence in Games, with notable topics including:

  • Artificial Intelligence in Games
  • Reinforcement Learning in Robotics
  • Digital Games and Media
  • Evolutionary Algorithms and Applications
  • Educational Games and Gamification
  • Advanced Bandit Algorithms Research
  • Metaheuristic Optimization Algorithms Research

The scientist's frequent co-authors include:

  • Diego Pérez-Liébana (9 publications)
  • Raluca D. Gaina (5 publications)
  • James Goodman (5 publications)
  • Yizhao Jin (4 publications)
  • Greg Slabaugh (4 publications)

Simon M. Lucas has published in a variety of venues, with the most frequent being:

  • arXiv (Cornell University) - 14 publications
  • IEEE Transactions on Games - 8 publications
  • 2020 IEEE Conference on Games (CoG) - 8 publications
  • IEEE Transactions on Emerging Topics in Computational Intelligence - 3 publications
  • IEEE Computational Intelligence Magazine - 2 publications

Recent papers by Simon M. Lucas include:

  • Artificial Intelligence and Games, 2020, KI - Künstliche Intelligenz
  • Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing, 2020, 2020 IEEE Conference on Games (CoG)
  • Choosing Representation, Mutation, and Crossover in Genetic Algorithms, 2022, IEEE Computational Intelligence Magazine
  • Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition, 2020, IEEE Transactions on Games
  • Facebook's Cyber-Cyber and Cyber-Physical Digital Twins, 2021, Evaluation and Assessment in Software Engineering

Simon M. Lucas has also authored a book titled General Video Game Artificial Intelligence, published in 2020 by Morgan & Claypool Publishers.

Best Publications

  • A Survey of Monte Carlo Tree Search Methods

    C. B. Browne;E. Powley;D. Whitehouse;S. M. Lucas

  • ICDAR 2003 robust reading competitions: entries, results, and future directions

    Simon M. Lucas;Alex Panaretos;Luis Sosa;Anthony Tang

  • ICDAR 2003 robust reading competitions

    S.M. Lucas;A. Panaretos;L. Sosa;A. Tang

  • ICDAR 2005 text locating competition results

    S.M. Lucas

  • Towards automatic personalised content creation for racing games

    J. Togelius;R. De Nardi;S.M. Lucas

  • Parallel Problem Solving from Nature – PPSN X

    Günter Rudolph;Thomas Jansen;Nicola Beume;Simon Lucas

  • Evolving mario levels in the latent space of a deep convolutional generative adversarial network

    Vanessa Volz;Jacob Schrum;Jialin Liu;Simon M. Lucas

  • The 2014 General Video Game Playing Competition

    Diego Perez-Liebana;Spyridon Samothrakis;Julian Togelius;Tom Schaul

  • General Video Game AI: competition, challenges, and opportunities

    Diego Perez-Liebana;Spyridon Samothrakis;Julian Togelius;Simon M. Lucas

  • General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms

    Diego Perez-Liebana;Jialin Liu;Ahmed Khalifa;Raluca D. Gaina

  • Evolutionary computation and games

    S.M. Lucas;G. Kendall

  • Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man.

    Simon M. Lucas

  • Learning deterministic finite automata with a smart state labeling evolutionary algorithm

    S.M. Lucas;T.J. Reynolds

  • General Video Game Level Generation

    Ahmed Khalifa;Diego Perez-Liebana;Simon M. Lucas;Julian Togelius

  • Making Racing Fun Through Player Modeling and Track Evolution

    J Togelius;R De Nardi;S Lucas

  • Towards a Video Game Description Language

    Marc Ebner;John Levine;Simon M. Lucas;Tom Schaul

  • Evolving controllers for simulated car racing

    J. Togelius;S.M. Lucas

  • Rolling horizon evolution versus tree search for navigation in single-player real-time games

    Diego Perez;Spyridon Samothrakis;Simon Lucas;Philipp Rohlfshagen

  • General video game playing

    John Levine;Clare Bates Congdon;Marc Ebner;Graham Kendall

  • Coevolution versus self-play temporal difference learning for acquiring position evaluation in small-board go

    T.P. Runarsson;S.M. Lucas

  • Parallel problem solving from nature - PPSN X : 10th international conference, Dortmund, Germany, September 13-17, 2008 : proceedings

    Günter Rudolph;Thomas Jansen;Simon M Lucas;Carlo Poloni

Frequent Co-Authors

Julian Togelius
Julian Togelius New York University
Sanaz Mostaghim
Sanaz Mostaghim Otto-von-Guericke University Magdeburg
Tom Schaul
Tom Schaul DeepMind (United Kingdom)
Sebastian Risi
Sebastian Risi IT University of Copenhagen
Thomas Jansen
Thomas Jansen Aberystwyth University
Günter Rudolph
Günter Rudolph TU Dortmund University
Michael Mateas
Michael Mateas University of California, Santa Cruz
Mike Preuss
Mike Preuss Leiden University
Peter I. Cowling
Peter I. Cowling Queen Mary University of London
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences

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