World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
23633
World Ranking
841
National Ranking
363

Paul R. Prucnal 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 Paul R. Prucnal 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: 736 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Paul R. Prucnal 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 Paul R. Prucnal 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: 71 D-Index — 88th percentile

88% 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

  • 2017 - Fellow, National Academy of Inventors
  • 1992 - IEEE Fellow For contributions to photonic switching and fiber-optics networks.

Overview

Paul R. Prucnal is affiliated with Princeton University in the United States. Their research spans broadly within the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering and Artificial Intelligence. Their primary areas of study include Neural Networks and Reservoir Computing, Photonic and Optical Devices, and Optical Network Technologies.

The scientist has published extensively in various venues. Frequent publication venues include arXiv (Cornell University), IEEE Journal of Selected Topics in Quantum Electronics, Conference on Lasers and Electro-Optics, Optica, and Optics Letters.

Notable recent papers authored or coauthored by Paul R. Prucnal include:

  • Silicon photonic-electronic neural network for fibre nonlinearity compensation (2021, arXiv (Cornell University))
  • Roadmap on emerging hardware and technology for machine learning (2020, Nanotechnology)
  • Reconfigurable all-optical nonlinear activation functions for neuromorphic photonics (2020, Optics Letters)
  • Silicon microring synapses enable photonic deep learning beyond 9-bit precision (2022, Optica)
  • Demonstration of scalable microring weight bank control for large-scale photonic integrated circuits (2020, APL Photonics)

The scientist collaborates frequently with several researchers. Frequent co-authors include:

  • Bhavin J. Shastri
  • Thomas Ferreira de Lima
  • Simon Bilodeau
  • Alexander N. Tait
  • Chaoran Huang

The main topics covered by their work are:

  • Neural Networks and Reservoir Computing
  • Photonic and Optical Devices
  • Optical Network Technologies
  • Advanced Memory and Neural Computing
  • Advanced Photonic Communication Systems
  • Blind Source Separation Techniques
  • Neural Networks and Applications

Paul R. Prucnal has been recognized with several awards. They are an IEEE Fellow since 1992, acknowledged for contributions to photonic switching and fiber-optics networks, and a Fellow of the National Academy of Inventors since 2017.

Best Publications

  • Photonics for artificial intelligence and neuromorphic computing

    Bhavin J. Shastri;Alexander N. Tait;Thomas Ferreira de Lima;Wolfram H. P. Pernice

  • Photonics for artificial intelligence and neuromorphic computing

    Bhavin J. Shastri;Bhavin J. Shastri;Alexander N. Tait;Alexander N. Tait;T. Ferreira de Lima;Wolfram H. P. Pernice

  • Spread spectrum fiber-optic local area network using optical processing

    P. Prucnal;M. Santoro;Ting Fan

  • A terahertz optical asymmetric demultiplexer (TOAD)

    J.P. Sokoloff;P.R. Prucnal;I. Glesk;M. Kane

  • Neuromorphic photonic networks using silicon photonic weight banks.

    Alexander N. Tait;Thomas Ferreira de Lima;Ellen Zhou;Allie X. Wu

  • Performance comparison of asynchronous and synchronous code-division multiple-access techniques for fiber-optic local area networks

    W.C. Kwong;P.A. Perrier;P.R. Prucnal

  • Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing

    Alexander N. Tait;Mitchell A. Nahmias;Bhavin J. Shastri;Paul Richard Prucnal

  • Optical Code Division Multiple Access : Fundamentals and Applications

    Paul R. Prucnal

  • Optical Layer Security in Fiber-Optic Networks

    M. P. Fok;Zhexing Wang;Yanhua Deng;P. R. Prucnal

  • Photonic packet switches: architectures and experimental implementations

    D.J. Blumenthal;P.R. Prucnal;J.R. Sauer

  • A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing

    M. A. Nahmias;B. J. Shastri;A. N. Tait;P. R. Prucnal

  • A silicon photonic modulator neuron

    Alexander N. Tait;Thomas Ferreira de Lima;Mitchell A. Nahmias;Heidi B. Miller

  • Photonic Multiply-Accumulate Operations for Neural Networks

    Mitchell A. Nahmias;Thomas Ferreira de Lima;Alexander N. Tait;Hsuan-Tung Peng

  • A silicon photonic–electronic neural network for fibre nonlinearity compensation

    Chaoran Huang;Chaoran Huang;Shinsuke Fujisawa;Shinsuke Fujisawa;Thomas Ferreira de Lima;Alexander N. Tait

  • Recent progress in semiconductor excitable lasers for photonic spike processing

    Paul Richard Prucnal;Bhavin J. Shastri;Thomas Ferreira de Lima;Mitchell A. Nahmias

  • Ultrafast All-Optical Synchronous Multiple Access Fiber Networks

    P. Prucnal;M. Santoro;S. Sehgal

  • Microring Weight Banks

    Alexander N. Tait;Allie X. Wu;Thomas Ferreira de Lima;Ellen Zhou

  • Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

    Viraj Bangari;Bicky A. Marquez;Heidi Miller;Alexander N. Tait

  • Neuromorphic Silicon Photonic Networks

    Alexander N. Tait;Thomas Ferreira de Lima;Ellen Zhou;Allie X. Wu

  • A widely tunable narrow linewidth semiconductor fiber ring laser

    Deyu Zhou;P.R. Prucnal;I. Glesk

  • Progress in neuromorphic photonics

    Thomas Ferreira De Lima;Bhavin J. Shastri;Alexander N. Tait;Mitchell A. Nahmias

  • Demonstration of all-optical demultiplexing of TDM data at 250 Gbit/s

    I. Glesk;J. P. Sokoloff;P. R. Prucnal

  • Analysis and comparison of hot-potato and single-buffer deflection routing in very high bit rate optical mesh networks

    F. Forghieri;A. Bononi;P.R. Prucnal

Frequent Co-Authors

Ivan Glesk
Ivan Glesk University of Strathclyde
Bhavin J. Shastri
Bhavin J. Shastri Queen's University
Alexander N. Tait
Alexander N. Tait Princeton University
Thomas Ferreira de Lima
Thomas Ferreira de Lima Princeton University
Mable P. Fok
Mable P. Fok University of Georgia
Malvin C. Teich
Malvin C. Teich Boston University
Ting Wang
Ting Wang Washington University in St. Louis
Volker J. Sorger
Volker J. Sorger George Washington University
Kenneth Steiglitz
Kenneth Steiglitz Princeton University
Tarek El-Ghazawi
Tarek El-Ghazawi George Washington University

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