World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
13301
World Ranking
4735
National Ranking
1357

Randall D. Beer publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Randall D. Beer sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Randall D. Beer D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Randall D. Beer sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Randall D. Beer is affiliated with Indiana University in the United States. Their research spans multiple disciplines within neuroscience and computer science, focusing primarily on cognitive neuroscience and artificial intelligence. The subfields their work touches upon include cognitive neuroscience, artificial intelligence, astronomy and astrophysics, computational theory and mathematics, and sociology and political science.

The scientist's research topics cover various areas such as embodied and extended cognition, neural dynamics and brain function, origins and evolution of life, cellular automata and applications, evolutionary game theory and cooperation, plant and biological electrophysiology studies, and neural networks and reservoir computing.

Randall D. Beer has contributed publications across several venues, with multiple papers in Artificial Life and arXiv (Cornell University). Other publication venues include Philosophy and the Mind Sciences, Biosystems, and Frontiers in Computational Neuroscience.

Recent papers authored or coauthored by Randall D. Beer include:

  • The theoretical foundations of enaction: Precariousness (2022), Biosystems
  • An Investigation into the Origin of Autopoiesis (2020), Artificial Life
  • On the Proper Treatment of Dynamics in Cognitive Science (2023), Topics in Cognitive Science

Other notable related publications where Randall D. Beer has contributed include:

  • Laying down a forking path: Tensions between enaction and the free energy principle (2022), Philosophy and the Mind Sciences
  • A Neuromechanical Model of Multiple Network Rhythmic Pattern Generators for Forward Locomotion in C. elegans (2021), Frontiers in Computational Neuroscience

Their frequent coauthors include:

  • Ezequiel A. Di Paolo
  • Evan Thompson
  • Erick Olivares
  • Eduardo J. Izquierdo
  • Didem Kadıhasanoğlu

Best Publications

  • The brain has a body: adaptive behavior emerges from interactions of nervous system, body and environment.

    Hillel J. Chiel;Randall D. Beer

  • A dynamical systems perspective on agent-environment interaction

    Randall D. Beer

  • Evolving dynamical neural networks for adaptive behavior

    Randall D. Beer;John C. Gallagher

  • The Dynamics of Active Categorical Perception in an Evolved Model Agent

    Randall D. Beer

  • On the dynamics of small continuous-time recurrent neural networks

    Randall D. Beer

  • Nonnegative Decomposition of Multivariate Information

    Paul L. Williams;Randall D. Beer

  • Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology

    Leon Sterling;Yoh-Han Pao;Randall Dean Beer

  • Biologically inspired approaches to robotics: what can we learn from insects?

    Randall D. Beer;Roger D. Quinn;Hillel J. Chiel;Roy E. Ritzmann

  • Biologically based distributed control and local reflexes improve rough terrain locomotion in a hexapod robot

    Kenneth S. Espenschied;Roger D. Quinn;Randall D. Beer;Hillel J. Chiel

  • Using autonomous robotics to teach science and engineering

    Randall D. Beer;Hillel J. Chiel;Richard F. Drushel

  • Peristaltically self-propelled endoscopic device

    Hillel J. Chiel;Roger D. Quinn;Randall D. Beer;Elizabeth D. Mangan

  • Spatial learning for navigation in dynamic environments

    B. Yamauchi;R. Beer

  • The dynamics of adaptive behavior: A research program

    Randall D. Beer

  • Application of evolved locomotion controllers to a hexapod robot

    John C. Gallagher;Randall D. Beer;Kenneth S. Espenschied;Roger D. Quinn

  • Sequential behavior and learning in evolved dynamical neural networks

    Brian M. Yamauchi;Randall D. Beer

  • A distributed neural network architecture for hexapod robot locomotion

    Randall D. Beer;Hillel J. Chiel;Roger D. Quinn;Kenneth S. Espenschied

  • Biorobotic approaches to the study of motor systems

    Randall D Beer;Hillel J Chiel;Roger D Quinn;Roy E Ritzmann

  • A biological perspective on autonomous agent design

    Randall D. Beer;Hillel J. Chiel;Leon S. Sterling

  • Biological neural networks in invertebrate neuroethology and robotics

    Randall D. Beer;Roy E. Ritzmann;Thomas M. McKenna

  • Evolution and analysis of model CPGs for walking: II. General principles and individual variability.

    Randall D. Beer;Hillel J. Chiel;John C. Gallagher

Frequent Co-Authors

Hillel J. Chiel
Hillel J. Chiel Case Western Reserve University
Roger D. Quinn
Roger D. Quinn Case Western Reserve University
Leon Sterling
Leon Sterling Swinburne University of Technology
Geoffrey P. Bingham
Geoffrey P. Bingham Indiana University
Patrick E. Crago
Patrick E. Crago Case Western Reserve University
François Clarac
François Clarac Aix-Marseille University
William B. Kristan
William B. Kristan University of California, San Diego
Inman Harvey
Inman Harvey University of Sussex
Holk Cruse
Holk Cruse Bielefeld University

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