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D-Index & Metrics

Computer Science

D-Index
71
Citations
23379
World Ranking
1761
National Ranking
897

Kenneth O. Stanley 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 Kenneth O. Stanley 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: 222 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Kenneth O. Stanley 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 Kenneth O. Stanley 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Kenneth O. Stanley is affiliated with the University of Central Florida in the United States. Their research primarily focuses on computer science, with an emphasis on artificial intelligence as the main subfield. Other areas of study include cognitive neuroscience, mechanical engineering, electrical and electronic engineering, and computational theory and mathematics.

The scientist's recent publications cover a range of topics related to evolutionary computation, reinforcement learning, and neural network training. Notable papers include:

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities, 2020, Artificial Life
  • Learning to Continually Learn, 2020, arXiv (Cornell University)
  • Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions, 2020, arXiv (Cornell University)
  • Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity, 2020, arXiv (Cornell University)

Frequent coauthors in Kenneth O. Stanley's work include:

  • Joel Lehman
  • Jeff Clune
  • Thomas Miconi
  • Aditya Rawal
  • Nick Cheney

Their studies have been published mainly in venues such as:

  • arXiv (Cornell University)
  • Artificial Life
  • Proceedings of the AAAI Conference on Artificial Intelligence

Research topics addressed by Stanley often encompass:

  • Reinforcement Learning in Robotics
  • Evolutionary Algorithms and Applications
  • Modular Robots and Swarm Intelligence
  • EEG and Brain-Computer Interfaces
  • Advanced Memory and Neural Computing
  • Explainable Artificial Intelligence (XAI)
  • Evolutionary Game Theory and Cooperation

Best Publications

  • Evolving neural networks through augmenting topologies

    Kenneth O. Stanley;Risto Miikkulainen

  • Abandoning objectives: Evolution through the search for novelty alone

    Joel Lehman;Kenneth O. Stanley

  • A hypercube-based encoding for evolving large-scale neural networks

    Kenneth O. Stanley;David B. D'Ambrosio;Jason Gauci

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

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

  • Compositional pattern producing networks: A novel abstraction of development

    Kenneth O. Stanley

  • Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

    Felipe Petroski Such;Vashisht Madhavan;Edoardo Conti;Joel Lehman

  • Designing neural networks through neuroevolution

    Kenneth O. Stanley;Kenneth O. Stanley;Jeff Clune;Jeff Clune;Joel Lehman;Risto Miikkulainen

  • A Taxonomy for artificial embryogeny

    Kenneth O. Stanley;Risto Miikkulainen

  • Exploiting Open-Endedness to Solve Problems Through the Search for Novelty

    Joel Lehman;Kenneth O. Stanley

  • Competitive coevolution through evolutionary complexification

    Kenneth O. Stanley;Risto Miikkulainen

  • Real-time neuroevolution in the NERO video game

    K.O. Stanley;B.D. Bryant;R. Miikkulainen

  • Quality Diversity: A New Frontier for Evolutionary Computation

    Justin K. Pugh;Lisa B. Soros;Kenneth O. Stanley

  • Evolving a diversity of virtual creatures through novelty search and local competition

    Joel Lehman;Kenneth O. Stanley

  • First return, then explore

    Adrien Ecoffet;Adrien Ecoffet;Joost Huizinga;Joost Huizinga;Joel Lehman;Joel Lehman;Kenneth O. Stanley;Kenneth O. Stanley

  • Efficient Reinforcement Learning Through Evolving Neural Network Topologies

    Kenneth O. Stanley;Risto Miikkulainen

  • Go-Explore: a New Approach for Hard-Exploration Problems

    Adrien Ecoffet;Joost Huizinga;Joel Lehman;Kenneth O. Stanley

  • Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

    Edoardo Conti;Vashisht Madhavan;Felipe Petroski Such;Joel Lehman

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

  • Efficient evolution of neural networks through complexification

    Kenneth Owen Stanley;Risto P. Miikkulainen

  • Picbreeder: evolving pictures collaboratively online

    Jimmy Secretan;Nicholas Beato;David B. D Ambrosio;Adelein Rodriguez

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

Frequent Co-Authors

Jeff Clune
Jeff Clune University of British Columbia
Risto Miikkulainen
Risto Miikkulainen The University of Texas at Austin
Sebastian Risi
Sebastian Risi IT University of Copenhagen
Charles Ofria
Charles Ofria Michigan State University
Julian Togelius
Julian Togelius New York University
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Hod Lipson
Hod Lipson Columbia University
François Taddei
François Taddei Université Paris Cité

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