World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
56
Citations
32630
World Ranking
2020
National Ranking
793

Computer Science

D-Index
59
Citations
33863
World Ranking
3319
National Ranking
1609

Philip Levis 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 Philip Levis 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: 140 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Philip Levis 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 Philip Levis 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: 56 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Philip Levis is affiliated with Stanford University in the United States and primarily works in the field of Computer Science. Their research spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry, and Automotive Engineering.

Their recent publications cover a variety of topics and venues. Notable recent papers include:

  • GRIP: A Graph Neural Network Accelerator Architecture, 2022, IEEE Transactions on Computers
  • GRIP: A Graph Neural Network Accelerator Architecture, 2020, arXiv (Cornell University)
  • Towards retina-quality VR video streaming, 2022, ACM SIGCOMM Computer Communication Review
  • Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning, 2020, ACM Transactions on Embedded Computing Systems
  • Receiving Colliding LoRa Packets with Hard Information Iterative Decoding, 2021, 2021 IEEE Global Communications Conference (GLOBECOM)

The topics covered in their research include Visual Attention and Saliency Detection, Image and Video Quality Assessment, Advanced Graph Neural Networks, Machine Learning in Materials Science, Graph Theory and Algorithms, Advanced Battery Technologies Research, and Retinal Imaging and Analysis.

Frequent co-authors collaborating with Philip Levis are:

  • Luke Hsiao
  • Christopher Ré
  • Brooke Krajancich
  • Gordon Wetzstein
  • Keith Winstein

They have published predominantly in the following venues:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Computers
  • ACM SIGCOMM Computer Communication Review
  • 2021 IEEE Global Communications Conference (GLOBECOM)

These publications illustrate a strong engagement with emerging technologies such as graph neural networks, virtual reality video streaming, embedded computing systems, and wireless communication protocols.

Best Publications

  • TOSSIM: accurate and scalable simulation of entire TinyOS applications

    Philip Levis;Nelson Lee;Matt Welsh;David Culler

  • The nesC language: a holistic approach to networked embedded systems

    Philip Levis;Robert von Behren;Matt Welsh

  • TinyOS: An Operating System for Sensor Networks

    Philip Alexander Levis;Samuel Madden;Joseph Polastre;Robert Szewczyk

  • Achieving single channel, full duplex wireless communication

    Jung Il Choi;Mayank Jain;Kannan Srinivasan;Phil Levis

  • Collection tree protocol

    Omprakash Gnawali;Rodrigo Fonseca;Kyle Jamieson;David Moss

  • Practical, real-time, full duplex wireless

    Mayank Jain;Jung Il Choi;Taemin Kim;Dinesh Bharadia

  • The nesC language: A holistic approach to networked embedded systems

    Unknown

  • Maté: a tiny virtual machine for sensor networks

    Philip Levis;David Culler

  • Trickle: a self-regulating algorithm for code propagation and maintenance in wireless sensor networks

    Philip Levis;Neil Patel;David Culler;Scott Shenker

  • Single channel full duplex wireless communications

    Mayank Jain;Jung Il Choi;Kannan Srinivasan;Philip Levis

  • Applications of self-interference cancellation in 5G and beyond

    Steven Hong;Joel Brand;Jung Choi;Mayank Jain

  • A high-resolution human contact network for infectious disease transmission

    Marcel Salathé;Maria Kazandjieva;Jung Woo Lee;Philip Levis

  • The Trickle Algorithm

    Philip Levis;Thomas Heide Clausen

  • The emergence of networking abstractions and techniques in TinyOS

    Philip Levis;Sam Madden;Joseph Polastre

  • TinyOS Programming

    Philip Levis

  • Four-Bit Wireless Link Estimation.

    Rodrigo Fonseca;Omprakash Gnawali;Kyle Jamieson;Philip Alexander Levis

  • An empirical study of low-power wireless

    Kannan Srinivasan;Prabal Dutta;Arsalan Tavakoli;Philip Levis

  • The β-factor: measuring wireless link burstiness

    Kannan Srinivasan;Maria A. Kazandjieva;Saatvik Agarwal;Philip Levis

  • Policies for dynamic clock scheduling

    Dirk Grunwald;Charles B. Morrey;Philip Levis;Michael Neufeld

  • A unifying link abstraction for wireless sensor networks

    Joseph Polastre;Jonathan Hui;Philip Levis;Jerry Zhao

  • OpenRadio: a programmable wireless dataplane

    Manu Bansal;Jeffrey Mehlman;Sachin Katti;Philip Levis

Frequent Co-Authors

David E. Culler
David E. Culler University of California, Berkeley
Prabal Dutta
Prabal Dutta University of California, Berkeley
Sachin Katti
Sachin Katti Stanford University
Scott Shenker
Scott Shenker University of California, Berkeley
Omprakash Gnawali
Omprakash Gnawali University of Houston
Rodrigo Fonseca
Rodrigo Fonseca Brown University
Peter Bailis
Peter Bailis Stanford University
David Mazières
David Mazières Stanford University

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Related Online Degrees & Career Pathways

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For those eager to start their educational journey without delay, numerous online colleges that start soon allow students to enroll multiple times per year. This flexible scheduling helps aspiring electrical engineers begin or continue their studies on their own timetable.

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