World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
102
Citations
59326
World Ranking
162
National Ranking
79

Jan M. Rabaey 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 Jan M. Rabaey 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: 579 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Jan M. Rabaey 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 Jan M. Rabaey 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: 102 D-Index — 98th percentile

98% 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

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2010 - Semiconductor Industry Association University Researcher Award
  • 1995 - IEEE Fellow For contributions in design synthesis and concurrent architectures for signal processing applications.

Overview

Jan M. Rabaey is affiliated with the University of California, Berkeley in the United States. Their research spans multiple fields, predominantly in engineering and computer science, with specific emphasis on electrical and electronic engineering, biomedical engineering, artificial intelligence, computer networks and communications, and materials chemistry.

The scientist's main research topics include:

  • Ferroelectric and Negative Capacitance Devices
  • Advanced Memory and Neural Computing
  • Wireless Body Area Networks
  • Ferroelectric and Piezoelectric Materials
  • Advanced Sensor and Energy Harvesting Materials
  • Molecular Communication and Nanonetworks
  • Parallel Computing and Optimization Techniques

Jan M. Rabaey has published extensively, with frequent appearances in venues such as:

  • arXiv (Cornell University)
  • IEEE Solid-State Circuits Magazine
  • Proceedings of the IEEE
  • IEEE Transactions on Microwave Theory and Techniques
  • Nature Electronics

Notable recent papers include:

  • "A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition," 2020, Nature Electronics
  • "Printed, flexible, compact UHF-RFID sensor tags enabled by hybrid electronics," 2020, Scientific Reports
  • "Vector Symbolic Architectures as a Computing Framework for Emerging Hardware," 2022, Proceedings of the IEEE
  • "Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata," 2022, Brain Informatics
  • "Adaptive Body Area Networks Using Kinematics and Biosignals," 2020, IEEE Journal of Biomedical and Health Informatics

Frequent co-authors collaborating with Jan M. Rabaey include:

  • Abbas Rahimi
  • Alisha Menon
  • Denis Kleyko
  • Andreia Cathelin
  • Ali Moin

The scientist has received awards such as the Semiconductor Industry Association University Researcher Award in 2010 and was named an IEEE Fellow in 1995 for contributions in design synthesis and concurrent architectures for signal processing applications.

Best Publications

  • Digital integrated circuits : a design perspective

    Jan M Rabaey;Anantha Chandrakasan;Borivoje Nikolic

  • A study of low level vibrations as a power source for wireless sensor nodes

    Shad Roundy;Paul K. Wright;Jan Rabaey

  • Energy aware routing for low energy ad hoc sensor networks

    R.C. Shah;J.M. Rabaey

  • PicoRadio supports ad hoc ultra-low power wireless networking

    J.M. Rabaey;M.J. Ammer;J.L. da Silva;D. Patel

  • Digital integrated circuits: a design perspective

    Jan M. Rabaey

  • Energy scavenging for wireless sensor networks

    Shad Roundy;Paul Kenneth Wright;Jan M. Rabaey

  • Improving power output for vibration-based energy scavengers

    S. Roundy;E.S. Leland;J. Baker;E. Carleton

  • System-level design: orthogonalization of concerns and platform-based design

    K. Keutzer;A.R. Newton;J.M. Rabaey;A. Sangiovanni-Vincentelli

  • Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks

    Chris Savarese;Jan M. Rabaey;Koen Langendoen

  • Low Power Design Methodologies

    Jan M. Rabaey;Massoud Pedram

  • Location in distributed ad-hoc wireless sensor networks

    C. Savarese;J.M. Rabaey;J. Beutel

  • Energy Scavenging for Wireless Sensor Networks: with Special Focus on Vibrations

    Shad Roundy;Paul Kenneth Wright;Jan M. Rabaey

  • Lightweight time synchronization for sensor networks

    Jana van Greunen;Jan Rabaey

  • Power Sources for Wireless Sensor Networks

    Shad Roundy;Dan Steingart;Luc Frechette;Paul K. Wright

  • Comparison of Methods

    Shad Roundy;Paul Kenneth Wright;Jan M. Rabaey

  • Optimizing power using transformations

    A.P. Chandrakasan;M. Potkonjak;R. Mehra;J. Rabaey

  • Low Power Design Essentials

    Jan Rabaey

  • A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition

    Ali Moin;Andy Zhou;Abbas Rahimi;Alisha Menon

  • Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust

    Dongjin Seo;Ryan M. Neely;Konlin Shen;Utkarsh Singhal

  • Picoradics for wireless sensor networks: the next challenge in ultra-low-power design

    J.M. Rabaey;J. Ammer;T. Karalar;Suetfei Li

  • Distributed algorithms for transmission power control in wireless sensor networks

    M. Kubisch;H. Karl;A. Wolisz;L.C. Zhong

  • Ultralow-Power Design in Near-Threshold Region

    D. Markovic;C.C. Wang;L.P. Alarcon;Tsung-Te Liu

Frequent Co-Authors

Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Jose M. Carmena
Jose M. Carmena University of California, Berkeley
Elad Alon
Elad Alon University of California, Berkeley
Paul K. Wright
Paul K. Wright University of California, Berkeley
Abbas Rahimi
Abbas Rahimi IBM (United States)
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Michel M. Maharbiz
Michel M. Maharbiz University of California, Berkeley
Adam Wolisz
Adam Wolisz Technical University of Berlin
Robert W. Brodersen
Robert W. Brodersen University of California, Berkeley
Toni Bjorninen
Toni Bjorninen Tampere University

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