World's Best Scientists 2026 revealed!
Subutai Ahmad

Subutai Ahmad

D-Index & Metrics

Computer Science

D-Index
37
Citations
7292
World Ranking
10588
National Ranking
4435

Subutai Ahmad 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 Subutai Ahmad 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: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Subutai Ahmad 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 Subutai Ahmad 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Subutai Ahmad is affiliated with Numenta in the United States and conducts research at the intersection of computer science, neuroscience, and engineering. Their work notably spans artificial intelligence, electrical and electronic engineering, and cognitive neuroscience, with a focus on neural dynamics and brain function as well as advanced memory and neural computing.

Their research covers several advanced topics including domain adaptation and few-shot learning, neural networks and applications, ferroelectric and negative capacitance devices, advanced neural network applications, and multimodal machine learning applications.

Notable recent papers authored or coauthored by Subutai Ahmad include:

  • "Avalanche: An end-to-end library for continual learning," 2021, published in CINECA IRIS Institutional Research Information System (University of Pisa)
  • "Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments," 2022, published in Frontiers in Neurorobotics
  • "A thousand brains: toward biologically constrained AI," 2021, published in SN Applied Sciences
  • "Going Beyond the Point Neuron: Active Dendrites and Sparse Representations for Continual Learning," 2021, published in bioRxiv (Cold Spring Harbor Laboratory)
  • "Two sparsities are better than one: unlocking the performance benefits of sparse-sparse networks," 2022, published in Neuromorphic Computing and Engineering

Their publication records show frequent appearances in venues such as arXiv (Cornell University), CINECA IRIS Institutional Research Information System (University of Pisa), Frontiers in Neurorobotics, bioRxiv (Cold Spring Harbor Laboratory), and SN Applied Sciences.

Among frequent collaborators are Jérémy Forest, Karan Grewal, Lawrence Spracklen, Vincenzo Lomonaco, and Lorenzo Pellegrini. These collaborations reflect a group of researchers active in overlapping fields of machine learning, neuroscience, and computational modeling.

Best Publications

  • Unsupervised real-time anomaly detection for streaming data

    Subutai Ahmad;Alexander Lavin;Scott Purdy;Zuha Agha

  • Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

    Alexander Lavin;Subutai Ahmad

  • Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex.

    Jeff Hawkins;Subutai Ahmad

  • Browser for use in navigating a body of information, with particular application to browsing information represented by audiovisual data

    Subutai Ahmad;Neal A. Bhadkamkar;Steve B. Cousins;Emanuel E. Farber

  • Method for video enabled electronic commerce

    Subutai Ahmad

  • Continuous online sequence learning with an unsupervised neural network model

    Yuwei Cui;Subutai Ahmad;Jeff Hawkins

  • Video processing system

    Sai-Wai Fu;Hon Pun Sit;Subutai Ahmad;Sadie Louise Honey

  • Display pause with elastic playback

    Subutai Ahmad;Neal A. Bhadkamkar;Steve B. Cousins;Paul A. Freiberger

  • Videowiedergabe mit synchronisiertem ton bei veränderlicher geschwindigkeit

    Neal A Bhadkamkar;Subutai Ahmad;Michele Covell

  • A Theory of How Columns in the Neocortex Enable Learning the Structure of the World.

    Jeff Hawkins;Subutai Ahmad;Yuwei Cui

  • A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex.

    Jeff Hawkins;Marcus Lewis;Mirko Klukas;Scott Purdy

  • Training Neural Networks with Deficient Data

    Volker Tresp;Subutai Ahmad;Ralph Neuneier

  • Some Solutions to the Missing Feature Problem in Vision

    Subutai Ahmad;Volker Tresp

  • Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory.

    Subutai Ahmad;Jeff Hawkins

  • The HTM Spatial Pooler-A Neocortical Algorithm for Online Sparse Distributed Coding.

    Yuwei Cui;Subutai Ahmad;Jeff Hawkins

  • Network Structuring and Training Using Rule-based Knowledge

    Volker Tresp;Jürgen Hollatz;Subutai Ahmad

  • Automatic selection of a visual image or images from a collection of visual images, based on an evaluation of the quality of the visual images

    Michele M. Covell;Subutai Ahmad;Katerina L. Shiffer

  • VERFAHREN ZUR KOMPRESSION MEHRERER VIDEOBILDER

    Ahmad Subutai

  • Automatic editing of a visual recording to eliminate content of unacceptably low quality and/or very little or no interest

    Jeffrey L. Edwards;Subutai Ahmad

  • Indirect manipulation of data using temporally related data, with particular application to manipulation of audio or audiovisual data

    Subutai Ahmad;Emanuel E. Farber

  • Avalanche: an End-to-End Library for Continual Learning

    Vincenzo Lomonaco;Lorenzo Pellegrini;Andrea Cossu;Antonio Carta

Frequent Co-Authors

Michele Covell
Michele Covell Google (United States)
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Gerald Tesauro
Gerald Tesauro IBM (United States)

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