World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
5984
World Ranking
8103
National Ranking
3472

Abbas Rahimi 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 Abbas Rahimi 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Abbas Rahimi 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 Abbas Rahimi 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Abbas Rahimi is affiliated with IBM in the United States and has a significant body of research contributions in computer science and engineering fields. Their research focuses primarily on advanced memory and neural computing, ferroelectric and negative capacitance devices, and neural networks, with additional work spanning artificial intelligence and computer vision.

Their recent publications feature research in several well-known scientific venues. Notable papers include:

  • "A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition" (2020, Nature Electronics)
  • "In-memory hyperdimensional computing" (2020, Nature Electronics)
  • "Constrained Few-shot Class-incremental Learning" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  • "A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations" (2022, ACM Computing Surveys)
  • "Robust high-dimensional memory-augmented neural networks" (2021, Nature Communications)

Rahimi frequently collaborates with several researchers across multiple studies. Key co-authors include Abu Sebastian, Michael Hersche, Luca Benini, Geethan Karunaratne, and Giacomo Camposampiero.

The scientist's body of work appears predominantly in the following publication venues:

  • arXiv (Cornell University)
  • Nature Machine Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Electronics
  • ACM Computing Surveys

Rahimi's principal fields of study encompass computer science and engineering. More specialized subfields consist of electrical and electronic engineering, artificial intelligence, computer vision and pattern recognition, general health professions, and materials chemistry.

The research topics explored in their publications emphasize:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Domain Adaptation and Few-Shot Learning
  • Neural Networks and Applications
  • Multimodal Machine Learning Applications
  • EEG and Brain-Computer Interfaces

Best Publications

  • A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition

    Ali Moin;Andy Zhou;Abbas Rahimi;Alisha Menon

  • A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing

    Abbas Rahimi;Pentti Kanerva;Jan M. Rabaey

  • In-memory hyperdimensional computing

    Geethan Karunaratne;Geethan Karunaratne;Manuel Le Gallo;Giovanni Cherubini;Luca Benini

  • VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition

    Mohsen Imani;Deqian Kong;Abbas Rahimi;Tajana Rosing

  • Exploring Hyperdimensional Associative Memory

    Mohsen Imani;Abbas Rahimi;Deqian Kong;Tajana Rosing

  • Constrained Few-shot Class-incremental Learning

    Unknown

  • Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition

    Abbas Rahimi;Simone Benatti;Pentti Kanerva;Luca Benini

  • Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals

    Abbas Rahimi;Pentti Kanerva;Luca Benini;Jan M. Rabaey

  • High-Dimensional Computing as a Nanoscalable Paradigm

    Abbas Rahimi;Sohum Datta;Denis Kleyko;Edward Paxon Frady

  • A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters

    Abbas Rahimi;Igor Loi;Mohammad Reza Kakoee;Luca Benini

  • Hyperdimensional computing with 3D VRRAM in-memory kernels: Device-architecture co-design for energy-efficient, error-resilient language recognition

    Haitong Li;Tony F. Wu;Abbas Rahimi;Kai-Shin Li

  • Brain-inspired computing exploiting carbon nanotube FETs and resistive RAM: Hyperdimensional computing case study

    Tony F. Wu;Haitong Li;Ping-Chen Huang;Abbas Rahimi

  • Resistive configurable associative memory for approximate computing

    Mohsen Imani;Abbas Rahimi;Tajana S. Rosing

  • Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics

    Denis Kleyko;Abbas Rahimi;Dmitri A. Rachkovskij;Evgeny Osipov

  • A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations.

    Denis Kleyko;Dmitri A. Rachkovskij;Evgeny Osipov;Abbas Rahimi

  • An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

    Ali Moin;Andy Zhou;Abbas Rahimi;Simone Benatti

  • Robust high-dimensional memory-augmented neural networks.

    Geethan Karunaratne;Geethan Karunaratne;Manuel Schmuck;Manuel Schmuck;Manuel Le Gallo;Giovanni Cherubini

  • Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms

    Alessio Burrello;Lukas Cavigelli;Kaspar Schindler;Luca Benini

  • A neuro-vector-symbolic architecture for solving Raven’s progressive matrices

    Unknown

  • One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing

    Alessio Burrello;Kaspar Schindler;Luca Benini;Abbas Rahimi

  • Axilog: language support for approximate hardware design

    Amir Yazdanbakhsh;Divya Mahajan;Bradley Thwaites;Jongse Park

  • Approximate associative memristive memory for energy-efficient GPUs

    Abbas Rahimi;Amirali Ghofrani;Kwang-Ting Cheng;Luca Benini

  • Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory

    Manuel Schmuck;Luca Benini;Abbas Rahimi

  • Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials

    Abbas Rahimi;Artiom Tchouprina;Pentti Kanerva;José del R. Millán

Frequent Co-Authors

Luca Benini
Luca Benini ETH Zurich
Rajesh Gupta
Rajesh Gupta University of California, San Diego
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley
Tajana Rosing
Tajana Rosing University of California, San Diego
Mohsen Imani
Mohsen Imani University of California, San Diego
Abu Sebastian
Abu Sebastian IBM Research - Zurich
Kaspar Schindler
Kaspar Schindler University of Bern
Ana Claudia Arias
Ana Claudia Arias University of California, Berkeley
H.-S. Philip Wong
H.-S. Philip Wong Stanford University
Hadi Esmaeilzadeh
Hadi Esmaeilzadeh University of California, San Diego

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens many flexible and diverse options, including a wide range of online degrees. For those concerned about academic history, you might wonder will grad schools accept low gpa? Several accredited online colleges do accept students with lower GPAs, offering fresh chances to advance your education.

If you’re interested in expanding your studies, environmental science and engineering are popular adjacent fields to computer science. A common question is what can i do with an environmental science degree – the answer includes roles in sustainability, research, consulting, and tech-driven environmental solutions.

If time is a factor, you can consider the fastest computer science degree programs available online, which allow you to complete coursework at an accelerated pace.

Looking for affordable programs? These environmental engineering degree options can help you save on tuition while securing a valuable, interdisciplinary credential. These related pathways provide a strong foundation for dynamic, tech-infused careers in science and engineering.

Best Scientists Citing Abbas Rahimi

Trending Scientists

Recently Published Articles