World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
4460
World Ranking
6536
National Ranking
2143

Peter A. Beerel 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 Peter A. Beerel 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: 221 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Peter A. Beerel 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 Peter A. Beerel 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Peter A. Beerel is affiliated with the University of Southern California in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on electrical and electronic engineering and artificial intelligence.

The main fields of study for Beerel include:

  • Computer Science
  • Engineering

Their subfields of study highlight a specialization in:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Atomic and Molecular Physics, and Optics

Core research topics encompass:

  • Advanced Memory and Neural Computing
  • CCD and CMOS Imaging Sensors
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices
  • Adversarial Robustness in Machine Learning
  • Quantum and electron transport phenomena
  • Neural dynamics and brain function

Among frequent co-authors collaborating with Beerel are:

  • Gourav Datta
  • Souvik Kundu
  • Akhilesh Jaiswal
  • Domenico Zito

Peter A. Beerel's publications have appeared extensively in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • IEEE Transactions on Applied Superconductivity
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Examples of recent publications include:

  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: REGULAR PAPERS, 2022, IEEE Transactions on Circuits and Systems I Regular Papers
  • Programming memristor arrays with arbitrarily high precision for analog computing, 2024, Science
  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: REGULAR PAPERS, 2022, IEEE Transactions on Circuits and Systems I Regular Papers
  • HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: REGULAR PAPERS, 2022, IEEE Transactions on Circuits and Systems I Regular Papers

Best Publications

  • Methods and apparatus for facilitating physical synthesis of an integrated circuit design

    Peter Beerel;Andrew Lines;Qing Wu

  • A Designer's Guide to Asynchronous VLSI

    Peter A. Beerel;Recep O. Ozdag;Marcos Ferretti

  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR PAPERS

    Sankar Basu;Guanrong Chen;Andreas G. Andreou

  • The design and verification of a high-performance low-control-overhead asynchronous differential equation solver

    K.Y. Yun;P.A. Beerel;V. Vakilotojar;A.E. Dooply

  • Speculative completion for the design of high-performance asynchronous dynamic adders

    S.M. Nowick;K.Y. Yun;P.A. Beerel;A.E. Dooply

  • High performance asynchronous ASIC back-end design flow using single-track full-buffer standard cells

    M. Ferretti;R.O. Ozdag;P.A. Beerel

  • High-performance asynchronous pipeline circuits

    K.Y. Yun;P.A. Beerel;J. Arceo

  • Automatic gate-level synthesis of speed-independent circuits

    Unknown

  • Slack matching asynchronous designs

    P.A. Beerel;A. Lines;M. Davies;Nam-Hoon Kim

  • RAPPID: an asynchronous instruction length decoder

    S. Rotem;K. Stevens;R. Ginosar;P. Beerel

  • Proteus: An ASIC Flow for GHz Asynchronous Designs

    P. A. Beerel;G. D. Dimou;A. M. Lines

  • Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression

    Souvik Kundu;Gourav Datta;Massoud Pedram;Peter A. Beerel

  • An asynchronous instruction length decoder

    K.S. Stevens;S. Rotem;R. Ginosar;P. Beerel

  • High-speed QDI asynchronous pipelines

    R.O. Ozdag;P.A. Beerel

  • Safe BDD minimization using don't cares

    Youpyo Hong;Peter A. Beerel;Jerry R. Burch;Kenneth L. McMillan

  • Semi-modularity and testability of speed-independent circuits

    Peter A. Beerel;Teresa H.-Y. Meng

  • Efficient state classification of finite-state Markov chains

    Aiguo Xie;P.A. Beerel

  • Blade -- A Timing Violation Resilient Asynchronous Template

    Dylan Hand;Matheus Trevisan Moreira;Hsin-Ho Huang;Danlei Chen

  • Single-Track Asynchronous Pipeline Templates Using 1-of-N Encoding

    M. Ferretti;P.A. Beerel

  • Logic synthesis of multi-level domino asynchronous pipelines

    Peter Beerel;Andrew Lines;Michael Davies

  • Pipeline optimization for asynchronous circuits: complexity analysis and an efficient optimal algorithm

    Sangyun Kim;P.A. Beerel

  • Symbolic techniques for performance analysis of timed systems based on average time separation of events

    Aiguo Xie;P.A. Beerel

  • Automatic gate-level synthesis of speed-independent circuits

    Peter A. Beerel;Teresa H.-Y. Meng

  • In: "1997 IEEE International Symposium on Advanced Research in Asynchronous Circuits and Systems" ("Async97" Symposium), Eindhoven, The Netherlands Speculative Completion for the Design of High-Performance Asynchronous Dynamic Adders

    Steven M. Nowick;Kenneth Y. Yun;Peter A. Beerel;Ayoob E. Dooply

Frequent Co-Authors

Keith M. Chugg
Keith M. Chugg University of Southern California
Massoud Pedram
Massoud Pedram University of Southern California
Chris J. Myers
Chris J. Myers University of Colorado Boulder
Ran Ginosar
Ran Ginosar Technion – Israel Institute of Technology
Teresa H. Meng
Teresa H. Meng Stanford University
Melvin A. Breuer
Melvin A. Breuer University of Southern California
Steven M. Nowick
Steven M. Nowick Columbia University
Chris Chu
Chris Chu Iowa State University
Kenneth L. McMillan
Kenneth L. McMillan Microsoft (United States)
Nobuyuki Yoshikawa
Nobuyuki Yoshikawa Yokohama National University

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

For students interested in Electronics and Electrical Engineering, exploring related fields online can open diverse career opportunities. Many professionals pursue flexible learning options to advance their skills while managing work or personal commitments.

Programs such as the fastest online project management degree offer accelerated paths to leadership roles in technical project oversight. This can be ideal for engineers looking to transition into management or optimize project delivery in tech settings.

Similarly, earning a bachelor of project management online provides foundational skills crucial for coordinating complex engineering projects, ensuring timelines and budgets are met effectively.

For working adults balancing responsibilities, bachelor degree programs for working adults offer tailored schedules and pacing. These programs support continuous professional development without career interruptions.

Additionally, a master's in instructional design can complement engineering expertise by enabling individuals to develop training programs or technical curricula, enhancing workforce skills in engineering departments or educational institutions.

Best Scientists Citing Peter A. Beerel

Trending Scientists

Recently Published Articles