World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
73
Citations
30481
World Ranking
737
National Ranking
326

Computer Science

D-Index
84
Citations
34592
World Ranking
836
National Ranking
453

Trevor Mudge 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 Trevor Mudge 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: 388 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Trevor Mudge 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 Trevor Mudge 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: 73 D-Index — 89th percentile

89% 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

  • 2016 - ACM Fellow For contributions to power aware computer architecture.
  • 2014 - ACM - IEEE CS Eckert-Mauchly Award For pioneering contributions to low-power computer architecture and its interaction with technology.
  • 1995 - IEEE Fellow For contributions to the design and analysis of high performance processors.

Overview

Trevor Mudge is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on the field of Computer Science with a strong emphasis on Hardware and Architecture. Other subfields of study in their work include Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The main topics covered in Trevor Mudge's research are Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Embedded Systems Design Techniques, Advanced Graph Neural Networks, Ferroelectric and Negative Capacitance Devices, Advanced Data Storage Technologies, and Caching and Content Delivery.

Trevor Mudge's research output includes multiple papers published in various venues. Recent publications include:

  • "Domain-Specific Architectures: Research Problems and Promising Approaches," 2022, ACM Transactions on Embedded Computing Systems
  • "A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix-Matrix Multiplication Accelerator," 2020, IEEE Journal of Solid-State Circuits
  • "Demystifying Graph Sparsification Algorithms in Graph Properties Preservation," 2023, Proceedings of the VLDB Endowment
  • "A 507 GMACs/J 256-Core Domain Adaptive Systolic-Array-Processor for Wireless Communication and Linear-Algebra Kernels in 12nm FINFET," 2022, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
  • "Versa: A 36-Core Systolic Multiprocessor With Dynamically Reconfigurable Interconnect and Memory," 2022, IEEE Journal of Solid-State Circuits

Frequent co-authors in Trevor Mudge's collaborations include Ronald Dreslinski, Haojie Ye, Nishil Talati, Kuan-Yu Chen, and Chaitali Chakrabarti.

Their work has been published repeatedly in venues such as arXiv (Cornell University), IEEE Journal of Solid-State Circuits, Zenodo (CERN European Organization for Nuclear Research), ACM Transactions on Embedded Computing Systems, and the 2022 IEEE International Symposium on Circuits and Systems (ISCAS).

Trevor Mudge has received recognition within the computing community through notable awards. These include being named an ACM Fellow in 2016 for contributions to power aware computer architecture, receiving the ACM - IEEE CS Eckert-Mauchly Award in 2014 for pioneering contributions to low-power computer architecture and its interaction with technology, and being recognized as an IEEE Fellow in 1995 for contributions to the design and analysis of high performance processors.

Best Publications

  • MiBench: A free, commercially representative embedded benchmark suite

    M.R. Guthaus;J.S. Ringenberg;D. Ernst;T.M. Austin

  • Razor: a low-power pipeline based on circuit-level timing speculation

    Dan Ernst;Nam Sung Kim;Shidhartha Das;Sanjay Pant

  • Leakage current: Moore's law meets static power

    N.S. Kim;T. Austin;D. Baauw;T. Mudge

  • Drowsy caches: simple techniques for reducing leakage power

    Krisztián Flautner;Nam Sung Kim;Steve Martin;David Blaauw

  • Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits

    R.G. Dreslinski;M. Wieckowski;D. Blaauw;D. Sylvester

  • Power: a first-class architectural design constraint

    T. Mudge

  • Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge

    Yiping Kang;Johann Hauswald;Cao Gao;Austin Rovinski

  • Combined dynamic voltage scaling and adaptive body biasing for lower power microprocessors under dynamic workloads

    Steven M. Martin;Krisztian Flautner;Trevor Mudge;David Blaauw

  • Automatic performance setting for dynamic voltage scaling

    Krisztián Flautner;Steve Reinhardt;Trevor Mudge

  • A self-tuning DVS processor using delay-error detection and correction

    S. Das;D. Roberts;Seokwoo Lee;S. Pant

  • Trace-Driven Memory Simulation: A Survey

    Richard Uhlig;Trevor N. Mudge

  • Razor: circuit-level correction of timing errors for low-power operation

    D. Ernst;S. Das;S. Lee;D. Blaauw

  • Disaggregated memory for expansion and sharing in blade servers

    Kevin Lim;Jichuan Chang;Trevor Mudge;Parthasarathy Ranganathan

  • A survey of multicore processors

    G. Blake;R.G. Dreslinski;T. Mudge

  • Improving NAND Flash Based Disk Caches

    Taeho Kgil;David Roberts;Trevor Mudge

  • Recognizing Partially Occluded Parts

    Jerry L. Turney;Trevor N. Mudge;Richard A. Volz

  • Improving data cache performance by pre-executing instructions under a cache miss

    James Dundas;Trevor Mudge

  • Improving code density using compression techniques

    Charles Lefurgy;Peter Bird;I-Cheng Chen;Trevor Mudge

  • The bi-mode branch predictor

    Chih-Chieh Lee;I-Cheng K. Chen;Trevor N. Mudge

  • SODA: A Low-power Architecture For Software Radio

    Yuan Lin;Hyunseok Lee;Mark Woh;Yoav Harel

Frequent Co-Authors

David Blaauw
David Blaauw University of Michigan–Ann Arbor
Ronald G. Dreslinski
Ronald G. Dreslinski University of Michigan–Ann Arbor
Krisztian Flautner
Krisztian Flautner University of Michigan–Ann Arbor
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
Scott Mahlke
Scott Mahlke University of Michigan–Ann Arbor
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
Todd Austin
Todd Austin University of Michigan–Ann Arbor
Richard B. Brown
Richard B. Brown University of Utah
Bruce Jacob
Bruce Jacob University of Maryland, College Park

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