World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
14394
World Ranking
1168
National Ranking
484

Computer Science

D-Index
71
Citations
16819
World Ranking
1802
National Ranking
911

John P. Hayes 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 John P. Hayes 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: 301 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

John P. Hayes 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 John P. Hayes 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: 66 D-Index — 84th percentile

84% 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 - ACM Fellow For outstanding contributions to logic design and testing and to fault-tolerant computer architecture.

Overview

John P. Hayes is affiliated with the University of Michigan-Ann Arbor in the United States. Their scholarly contributions primarily span the fields of computer science and engineering, with a focus on electrical and electronic engineering, computer networks and communications, and computer vision and pattern recognition. Their research also intersects with immunology and artificial intelligence.

The scientist's work addresses several main topics, including error correcting code techniques, advanced wireless communication techniques, context-aware activity recognition systems, interferon and immune responses, non-invasive vital sign monitoring, human pose and action recognition, and neural networks and reservoir computing.

Recent publications by John P. Hayes include:

  • "Wavelet Transform Assisted Neural Networks for Human Activity Recognition," 2022, published in the 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
  • "Benefits of Stochastic Computing in Hearing Aid Filterbank Design," 2021, presented at the 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS)
  • "Guest Editors' Introduction: Stochastic Computing for Neuromorphic Applications," 2021, featured in IEEE Design and Test
  • "Labs go auto [technology - laboratory automation]," 2021, appearing in Engineering & Technology
  • "CeMux: Maximizing the Accuracy of Stochastic Mux Adders and an Application to Filter Design," 2022, published in ACM Transactions on Design Automation of Electronic Systems

Frequent co-authors collaborating with John P. Hayes are Ilia Polian, Timothy J. Baker, Roshwin Sengupta, Sarah E. Elzinga, and Eva L. Feldman.

The scientist's studies have been published repeatedly in notable venues, including:

  • 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
  • 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS)
  • IEEE Design and Test
  • Engineering & Technology
  • ACM Transactions on Design Automation of Electronic Systems

John P. Hayes was recognized as an ACM Fellow in 2001 for contributions to logic design and testing as well as fault-tolerant computer architecture.

Best Publications

  • Computer Architecture and Organization

    John P. Hayes

  • Unveiling the ISCAS-85 benchmarks: a case study in reverse engineering

    M.C. Hansen;H. Yalcin;J.P. Hayes

  • Synthesis of reversible logic circuits

    V.V. Shende;A.K. Prasad;I.L. Markov;J.P. Hayes

  • Survey of Stochastic Computing

    Armin Alaghi;John P. Hayes

  • A survey of the theory of hypercube graphs

    Frank Harary;John P. Hayes;Horng Jyh Wu

  • Accurate Reliability Evaluation and Enhancement via Probabilistic Transfer Matrices

    Smita Krishnaswamy;George F. Viamontes;Igor L. Markov;John P. Hayes

  • ARCHITECTURE OF A HYPERCUBE SUPERCOMPUTER.

    John P. Hayes;Trevor N. Mudge;Quentin F. Stout

  • Stochastic circuits for real-time image-processing applications

    Armin Alaghi;Cheng Li;John P. Hayes

  • Fault testing for reversible circuits

    K.N. Patel;J.P. Hayes;I.L. Markov

  • A Microprocessor-based Hypercube Supercomputer

    John P. Hayes;Trevor Mudge;Quentin F. Stout;Stephen Colley

  • Hierarchical test generation using precomputed tests for modules

    B.T. Murray;J.P. Hayes

  • The Promise and Challenge of Stochastic Computing

    Armin Alaghi;Weikang Qian;John P. Hayes

  • Hypercube supercomputers

    J.P. Hayes;T. Mudge

  • A fault-tolerant communication scheme for hypercube computers

    T.C. Lee;J.P. Hayes

  • Reversible logic circuit synthesis

    Vivek V. Shende;Aditya K. Prasad;Igor L. Markov;John P. Hayes

  • Exploiting correlation in stochastic circuit design

    Armin Alaghi;John P. Hayes

  • Introduction to Digital Logic Design

    John P. Hayes

  • Low-cost on-line fault detection using control flow assertions

    Rajesh Venkatasubramanian;J.P. Hayes;B.T. Murray

  • A Fully Integrated Auto-Calibrated Super-Regenerative Receiver in 0.13- $\mu{\hbox {m}}$ CMOS

    Jia-Yi Chen;M.P. Flynn;J.P. Hayes

  • Exact and Heuristic Approaches to Input Vector Control for Leakage Power Reduction

    Feng Gao;J.P. Hayes

Frequent Co-Authors

Igor L. Markov
Igor L. Markov Synopsys (United States)
Ilia Polian
Ilia Polian University of Stuttgart
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Trevor Mudge
Trevor Mudge University of Michigan–Ann Arbor
Bernd Becker
Bernd Becker University of Freiburg
Karem A. Sakallah
Karem A. Sakallah University of Michigan–Ann Arbor
David D. Wentzloff
David D. Wentzloff University of Michigan–Ann Arbor
Frank Harary
Frank Harary New Mexico State University
Michael P. Flynn
Michael P. Flynn University of Michigan–Ann Arbor
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego

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