World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
15856
World Ranking
1832
National Ranking
93

Computer Science

D-Index
59
Citations
16413
World Ranking
3385
National Ranking
204

Steve Furber publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Steve Furber sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 292 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Steve Furber D-index placement in Electronics and Electrical Engineering in 2026

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

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 58 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2008 - Member of Academia Europaea
  • 1999 - Fellow of the Royal Academy of Engineering (UK)

Overview

Steve Furber is affiliated with the University of Manchester in the United Kingdom. Their research spans multiple disciplines including engineering, neuroscience, and computer science, with particular focus on electrical and electronic engineering, cognitive neuroscience, and artificial intelligence. The scientist has contributed significantly to the areas of advanced memory and neural computing, ferroelectric and negative capacitance devices, neural networks and reservoir computing, neural dynamics and brain function, EEG and brain-computer interfaces, CCD and CMOS imaging sensors, and neural networks and applications.

Among the recent papers by Steve Furber are the following:

  • Embedded Devices for Neuromorphic Time-Series Assessment, 2022, Maryland Shared Open Access Repository (USMAI Consortium)
  • Neuromorphic computing at scale, 2025, Nature
  • Comparison of Artificial and Spiking Neural Networks on Digital Hardware, 2021, Frontiers in Neuroscience
  • Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control, 2021, Neuromorphic Computing and Engineering
  • Quantization Framework for Fast Spiking Neural Networks, 2022, Frontiers in Neuroscience

Steve Furber frequently co-authors with several researchers, including:

  • Johannes Schemmel
  • Christian Mayr
  • Mihai A. Petrovici
  • Chiara Bartolozzi
  • Bernhard Vogginger

Their work has been published in multiple venues, with repeated contributions to:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Neuromorphic Computing and Engineering
  • Frontiers in Neuroscience
  • IEEE Access

In recognition of their professional contributions, Steve Furber was made a Fellow of the Royal Academy of Engineering (UK) in 1999 and became a Member of Academia Europaea in 2008.

Best Publications

  • The SpiNNaker Project

    Steve B. Furber;Francesco Galluppi;Steve Temple;Luis A. Plana

  • Principles of Asynchronous Circuit Design: A Systems Perspective

    Jens Spars;Steve Furber

  • Overview of the SpiNNaker System Architecture

    Steve B. Furber;David R. Lester;Luis A. Plana;Jim D. Garside

  • Principles of Asynchronous Circuit Design

    Jens Sparsø;Steve Furber

  • ARM system-on-chip architecture

    Stephen B. Furber

  • Large-Scale Neuromorphic Computing Systems

    Stephen Furber

  • SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation

    Eustace Painkras;Luis A. Plana;Jim Garside;Steve Temple

  • Neural Systems Engineering

    Steve Furber;Steve Temple

  • Four-phase micropipeline latch control circuits

    S.B. Furber;P. Day

  • SpiNNaker: Mapping neural networks onto a massively-parallel chip multiprocessor

    M.M. Khan;D.R. Lester;L.A. Plana;A. Rast

  • AMULET2e: an asynchronous embedded controller

    S.B. Furber;J.D. Garside;S. Temple;J. Liu

  • ARM System Architecture

    Steve B. Furber

  • Chain: A Delay-Insensitive Chip Area Interconnect

    Unknown

  • A GALS Infrastructure for a Massively Parallel Multiprocessor

    L.A. Plana;S.B. Furber;S. Temple;M. Khan

  • Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

    Luigi Nardi;Bruno Bodin;M. Zeeshan Zia;John Mawer

  • Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model

    Sacha J. van Albada;Andrew G. Rowley;Johanna Senk;Michael Hopkins

  • A micropipelined ARM

    S. B. Furber;P. Day;J. D. Garside;N. C. Paver

  • Delay-insensitive, point-to-point interconnect using m-of-n codes

    W.J. Bainbridge;W.B. Toms;D.A. Edwards;S.B. Furber

  • AMULET1: a micropipelined ARM

    S.B. Furber;P. Day;J.D. Garside;N.C. Paver

  • An asynchronous on-chip network router with quality-of-service (QoS) support

    F. Feliciian;S.B. Furber

  • The SpiNNaker project

    Steve Furber

Frequent Co-Authors

Teresa Serrano-Gotarredona
Teresa Serrano-Gotarredona University of Seville
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville
Andrew J. Davison
Andrew J. Davison Imperial College London
Markus Diesmann
Markus Diesmann RWTH Aachen University
Ryad Benosman
Ryad Benosman University of Pittsburgh
Chris Eliasmith
Chris Eliasmith University of Waterloo
Matthew A. Lambon Ralph
Matthew A. Lambon Ralph University of Cambridge
Shih-Chii Liu
Shih-Chii Liu University of Zurich
Michael Pfeiffer
Michael Pfeiffer Bosch Center for Artificial Intelligence
Alex Yakovlev
Alex Yakovlev Newcastle University

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