World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
19681
World Ranking
1512
National Ranking
788

Julian Togelius 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 Julian Togelius 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: 449 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Julian Togelius 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 Julian Togelius 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Julian Togelius is affiliated with New York University in the United States and has published extensively in the field of computer science, with a strong focus on artificial intelligence and its applications in games and digital media.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Sociology and Political Science
  • Signal Processing
  • Developmental and Educational Psychology

Main topics of their research include:

  • Artificial Intelligence in Games
  • Digital Games and Media
  • Reinforcement Learning in Robotics
  • Video Analysis and Summarization
  • Topic Modeling
  • Natural Language Processing Techniques
  • Evolutionary Algorithms and Applications

Togelius has authored or coauthored papers featured prominently in several publication venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Games
  • Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
  • IEEE Computational Intelligence Magazine
  • 2020 IEEE Conference on Games (CoG)

Recent notable papers include:

  • "Deep learning for procedural content generation," 2020, Neural Computing and Applications
  • "Physics-informed attention-based neural network for hyperbolic partial differential equations: application to the Buckley-Leverett problem," 2022, Scientific Reports
  • "Large Language Models and Games: A Survey and Roadmap," 2024, IEEE Transactions on Games
  • "Transforming Exploratory Creativity with DeLeNoX," 2021, arXiv (Cornell University)
  • "Learning Controllable Content Generators," 2021, 2021 IEEE Conference on Games (CoG)

The list of frequent coauthors highlights collaborative work with:

  • Ahmed Khalifa
  • Sam Earle
  • Michael Cerny Green
  • M Charity
  • Yaochu Jin

In addition to journal and conference papers, Julian Togelius has contributed to scholarly books, including:

  • Artificial General Intelligence, published by The MIT Press in 2024
  • General Video Game Artificial Intelligence, published by Morgan & Claypool Publishers in 2020

Their works exhibit a consistent focus on the intersection of artificial intelligence and interactive digital entertainment, incorporating methods from reinforcement learning, evolutionary algorithms, and natural language processing.

Best Publications

  • Search-Based Procedural Content Generation: A Taxonomy and Survey

    J. Togelius;G. N. Yannakakis;K. O. Stanley;C. Browne

  • Procedural Content Generation in Games

    Noor Shaker;Julian Togelius;Mark J. Nelson

  • Experience-Driven Procedural Content Generation

    G. N. Yannakakis;J. Togelius

  • Artificial Intelligence and Games

    Georgios N. Yannakakis;Julian Togelius

  • Towards automatic personalised content creation for racing games

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

  • Procedural Content Generation via Machine Learning (PCGML)

    Adam Summerville;Sam Snodgrass;Matthew Guzdial;Christoffer Holmgard

  • An experiment in automatic game design

    J. Togelius;J. Schmidhuber

  • Modeling Player Experience for Content Creation

    C. Pedersen;J. Togelius;G.N. Yannakakis

  • Towards automatic personalized content generation for platform games

    Noor Shaker;Georgios Yannakakis;Julian Togelius

  • The 2014 General Video Game Playing Competition

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

  • Deep Learning for Video Game Playing

    Niels Justesen;Philip Bontrager;Julian Togelius;Sebastian Risi

  • Sentient sketchbook : computer-assisted game level authoring

    Antonios Liapis;Georgios N. Yannakakis;Julian Togelius

  • AlphaStar: an evolutionary computation perspective

    Kai Arulkumaran;Antoine Cully;Julian Togelius

  • A Panorama of Artificial and Computational Intelligence in Games

    Georgios N. Yannakakis;Julian Togelius

  • Modeling player experience in Super Mario Bros

    Chris Pedersen;Julian Togelius;Georgios N. Yannakakis

  • What is procedural content generation?: Mario on the borderline

    Julian Togelius;Emil Kastbjerg;David Schedl;Georgios N. Yannakakis

  • The 2009 Mario AI Competition

    Julian Togelius;Sergey Karakovskiy;Robin Baumgarten

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

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

  • Cellular automata for real-time generation of infinite cave levels

    Lawrence Johnson;Georgios N. Yannakakis;Julian Togelius

  • The Mario AI Benchmark and Competitions

    S. Karakovskiy;J. Togelius

  • Search-based procedural content generation

    Julian Togelius;Georgios N. Yannakakis;Kenneth O. Stanley;Cameron Browne

Frequent Co-Authors

Georgios N. Yannakakis
Georgios N. Yannakakis University of Malta
Simon M. Lucas
Simon M. Lucas Queen Mary University of London
Sebastian Risi
Sebastian Risi IT University of Copenhagen
Mike Preuss
Mike Preuss Leiden University
Jürgen Schmidhuber
Jürgen Schmidhuber King Abdullah University of Science and Technology
Tom Schaul
Tom Schaul DeepMind (United Kingdom)
Pier Luca Lanzi
Pier Luca Lanzi Polytechnic University of Milan
Leandro dos Santos Coelho
Leandro dos Santos Coelho Federal University of Paraná
Daan Wierstra
Daan Wierstra DeepMind (United Kingdom)
Nasir Memon
Nasir Memon New York University

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