World's Best Scientists 2026 revealed!
Chris Eliasmith

Chris Eliasmith

D-Index & Metrics

Computer Science

D-Index
44
Citations
10757
World Ranking
7442
National Ranking
297

Chris Eliasmith 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 Chris Eliasmith 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: 206 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Chris Eliasmith 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 Chris Eliasmith 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Chris Eliasmith is affiliated with the University of Waterloo in Canada. Their research primarily spans the fields of Computer Science, Engineering, and Neuroscience, reflecting a multidisciplinary approach to computational and cognitive studies.

The scientist's work covers several prominent areas including Advanced Memory and Neural Computing, Neural dynamics and brain function, Ferroelectric and Negative Capacitance Devices, as well as Neural Networks and Reservoir Computing. Additional interests include Neural Networks and Applications, Topic Modeling, and Memory and Neural Mechanisms.

Recent scholarly output features publications in various recognized venues such as arXiv (Cornell University), Psychological Review, Neuromorphic Computing and Engineering, Neural Computation, and Brain Sciences.

  • Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control (2021, Neuromorphic Computing and Engineering)
  • Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers (2021, Neural Computation)
  • A Spiking Neural Network for Image Segmentation (2021, arXiv [Cornell University])
  • Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms (2023, Brain Sciences)
  • A unified neurocomputational model of prospective and retrospective timing (2025, Psychological Review)

Chris Eliasmith collaborates frequently with a core group of researchers, including Aaron R. Voelker, Terrence C. Stewart, P. Michael Furlong, Nicole Sandra-Yaffa Dumont, and Xuan Choo. These partnerships contribute to a range of topics connected to neural computation and cognitive modeling.

Publication venues with multiple papers include arXiv (Cornell University) with eight contributions, Psychological Review and Neuromorphic Computing and Engineering with three publications each, Neural Computation, and Brain Sciences.

  • arXiv (Cornell University)
  • Psychological Review
  • Neuromorphic Computing and Engineering
  • Neural Computation
  • Brain Sciences

  • Aaron R. Voelker
  • Terrence C. Stewart
  • P. Michael Furlong
  • Nicole Sandra-Yaffa Dumont
  • Xuan Choo

  • Computer Science
  • Engineering
  • Neuroscience

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Cognitive Neuroscience
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition

  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Neural Networks and Applications
  • Topic Modeling
  • Memory and Neural Mechanisms

Best Publications

  • A Large-Scale Model of the Functioning Brain

    Chris Eliasmith;Terrence C. Stewart;Xuan Choo;Trevor Bekolay

  • Hyperopt: a Python library for model selection and hyperparameter optimization

    James Bergstra;Brent Komer;Chris Eliasmith;Dan Yamins

  • Neural engineering : computation, representation, and dynamics in neurobiological systems

    Chris Eliasmith;C. H. Anderson

  • How to Build a Brain: A Neural Architecture for Biological Cognition

    Chris Eliasmith

  • Nengo: a Python tool for building large-scale functional brain models.

    Trevor Bekolay;James Bergstra;Eric Hunsberger;Travis DeWolf

  • Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn

    Brent Komer;James Bergstra;Chris Eliasmith

  • Spiking Deep Networks with LIF Neurons

    Eric Hunsberger;Chris Eliasmith

  • Integrating structure and meaning: a distributed model of analogical mapping

    Chris Eliasmith;Paul Thagard

  • Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model

    Alexander Neckar;Sam Fok;Ben V. Benjamin;Terrence C. Stewart

  • A Unified Approach to Building and Controlling Spiking Attractor Networks

    Chris Eliasmith

  • The third contender: A critical examination of the Dynamicist theory of cognition

    Chris Eliasmith

  • Concepts as Semantic Pointers: A Framework and Computational Model

    Peter Blouw;Eugene Solodkin;Paul Thagard;Chris Eliasmith

  • Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

    Peter Blouw;Xuan Choo;Eric Hunsberger;Chris Eliasmith

  • A controlled attractor network model of path integration in the rat.

    John Conklin;Chris Eliasmith

  • The use and abuse of large-scale brain models.

    Chris Eliasmith;Oliver Trujillo

  • Deep networks for robust visual recognition

    Yichuan Tang;Chris Eliasmith

  • Fine-tuning and the stability of recurrent neural networks.

    David MacNeil;Chris Eliasmith

  • Training Spiking Deep Networks for Neuromorphic Hardware

    Eric Hunsberger;Chris Eliasmith

  • A Neural Model of Rule Generation in Inductive Reasoning

    Daniel Rasmussen;Chris Eliasmith

  • Learning to Select Actions with Spiking Neurons in the Basal Ganglia

    Terrence C. Stewart;Trevor Bekolay;Chris Eliasmith

  • Is the Brain a Quantum Computer

    Abninder Litt;Chris Eliasmith;Frederick W. Kroon;Steven Weinstein

  • Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks

    Aaron R Voelker;Ivana Kajić;Chris Eliasmith

  • The third contender: a critical examination of the dynamicist theory of

    Chris Eliasmith

Frequent Co-Authors

Paul Thagard
Paul Thagard University of Waterloo
Steve Furber
Steve Furber University of Manchester
Kwabena Boahen
Kwabena Boahen Stanford University
William Bechtel
William Bechtel University of California, San Diego
Manuel Montes-y-Gómez
Manuel Montes-y-Gómez National Institute of Astrophysics, Optics and Electronics
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Giacomo Indiveri
Giacomo Indiveri University of Zurich
James Danckert
James Danckert University of Waterloo
Bradley C. Love
Bradley C. Love University College London

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