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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
60
Citations
50558
World Ranking
1586
National Ranking
646

Bernard Widrow 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 Bernard Widrow 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: 197 publications — 28th percentile

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

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

Bernard Widrow 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 Bernard Widrow 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: 60 D-Index — 77th percentile

77% 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

  • 2001 - Benjamin Franklin Medal, Franklin Institute
  • 1995 - Member of the National Academy of Engineering For contributions to the theory of quantization noise, adaptive signal processing, and neural networks.
  • 1991 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society
  • 1986 - IEEE Alexander Graham Bell Medal "For fundamental contributions to adaptive filtering, adaptive noise and echo cancellation, and adaptive antennas."
  • 1980 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Bernard Widrow is affiliated with Stanford University in the United States and has contributed extensively to several fields including computer science, neuroscience, and engineering. Their research spans multiple subfields such as artificial intelligence, cognitive neuroscience, electrical and electronic engineering, computer vision and pattern recognition, and cellular and molecular neuroscience.

The core topics of their work focus on neural networks and applications, neural networks and reservoir computing, neural dynamics and brain function, advanced memory and neural computing, advanced adaptive filtering techniques, cognitive computing and networks, and neuroscience and neural engineering.

Widrow's recent publication includes the paper titled The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics published in 2023 in Frontiers in Computer Science. This reflects their engagement with cutting-edge developments in computing inspired by brain function.

The scientist has collaborated frequently with several coauthors, including:

  • Edward P. Katz
  • Yingxu Wang
  • Young Sik Kim
  • Dookun Park
  • Jose Krause Perin

Widrow's publications have appeared mainly in Frontiers in Computer Science, among other venues.

They have contributed to book publications with Springer International Publishing, including:

  • Cybernetics 2.0 (2022)
  • Cognitive Memory (2025)

Over the course of their career, Widrow has received multiple awards:

  • Benjamin Franklin Medal, Franklin Institute (2001)
  • Member of the National Academy of Engineering (1995) for contributions to the theory of quantization noise, adaptive signal processing, and neural networks
  • Neural Networks Pioneer Award, IEEE Computational Intelligence Society (1991)
  • IEEE Alexander Graham Bell Medal (1986) for fundamental contributions to adaptive filtering, adaptive noise and echo cancellation, and adaptive antennas
  • Fellow of the American Association for the Advancement of Science (AAAS) (1980)

Best Publications

  • Adaptive Signal Processing

    Bernard Widrow;Samuel D. Stearns

  • Adaptive noise cancelling: Principles and applications

    B. Widrow;J.R. Glover;J.M. McCool;J. Kaunitz

  • Adaptive switching circuits

    Bernard Widrow;Marcian E. Hoff

  • 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation

    B. Widrow;M.A. Lehr

  • Adaptive Antenna Systems

    B. Widrow;P. Mantey;L. Griffiths;B. Goode

  • Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights

    D. Nguyen;B. Widrow

  • Stationary and nonstationary learning characteristics of the LMS adaptive filter

    B. Widrow;J.M. McCool;M.G. Larimore;C.R. Johnson

  • Neural networks for self-learning control systems

    Derrick H. Nguyen;Bernard Widrow

  • The complex LMS algorithm

    B. Widrow;J. McCool;M. Ball

  • Adaptive inverse control

    B. Widrow;M. Bilello

  • The least mean fourth (LMF) adaptive algorithm and its family

    E. Walach;B. Widrow

  • Neural nets for adaptive filtering and adaptive pattern recognition

    Bernard Widrow;Rodney Winter

  • Neural networks: applications in industry, business and science

    Bernard Widrow;David E. Rumelhart;Michael A. Lehr

  • Statistical theory of quantization

    B. Widrow;I. Kollar;Ming-Chang Liu

  • Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications

    Bernard Widrow;István Kollár

  • Layered neural nets for pattern recognition

    B. Widrow;R.G. Winter;R.A. Baxter

  • Signal cancellation phenomena in adaptive antennas: Causes and cures

    B. Widrow;K. Duvall;R. Gooch;W. Newman

  • Least-mean-square adaptive filters

    Simon S. Haykin;Bernard Widrow

  • Punish/Reward: Learning with a Critic in Adaptive Threshold Systems

    Bernard Widrow;Narendra K. Gupta;Sidhartha Maitra

  • Least-Mean-Square Adaptive Filters: Haykin/Least-Mean-Square Adaptive Filters

    Simon Haykin;Bernard Widrow

  • The truck backer-upper: an example of self-learning in neural networks

    Derrick Nguyen;Bernard Widrow

Frequent Co-Authors

Yingxu Wang
Yingxu Wang University of Calgary
Francoise Beaufays
Francoise Beaufays Google (United States)
Simon Haykin
Simon Haykin McMaster University
Gregory L. Plett
Gregory L. Plett University of Colorado Colorado Springs
Kar-Ann Toh
Kar-Ann Toh Yonsei University
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
Eric A. Wan
Eric A. Wan Portland State University
Lei Xing
Lei Xing Stanford University
David E. Rumelhart
David E. Rumelhart Stanford University
Zongben Xu
Zongben Xu Xi'an Jiaotong University

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