World's Best Scientists 2026 revealed!
Pierre-Emmanuel Gaillardon

Pierre-Emmanuel Gaillardon

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5422
World Ranking
4950
National Ranking
1724

Computer Science

D-Index
37
Citations
5127
World Ranking
10857
National Ranking
4519

Pierre-Emmanuel Gaillardon 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 Pierre-Emmanuel Gaillardon 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: 251 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Pierre-Emmanuel Gaillardon 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 Pierre-Emmanuel Gaillardon 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Pierre-Emmanuel Gaillardon is affiliated with the University of Utah in the United States. Their research spans primarily the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Hardware and Architecture, Environmental Engineering, Biomedical Engineering, and Computational Theory and Mathematics.

The scientist's work covers several main topics including semiconductor materials and devices, ferroelectric and negative capacitance devices, physical unclonable functions (PUFs) and hardware security, advancements in semiconductor devices and circuit design, advanced memory and neural computing, low-power high-performance VLSI design, and embedded systems design techniques.

Frequent co-authors include Xifan Tang, Edouard Giacomin, Kerry E. Kelly, Ross Whitaker, and Jitendra Bhandari.

The primary venues where Pierre-Emmanuel Gaillardon has published include arXiv (Cornell University), IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Environmental Science & Technology, Proceedings of the 59th ACM/IEEE Design Automation Conference, and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Among the notable recent papers are:

  • OpenFPGA: An Open-Source Framework for Agile Prototyping Customizable FPGAs, 2020, IEEE Micro
  • Community-Based Measurements Reveal Unseen Differences during Air Pollution Episodes, 2020, Environmental Science & Technology
  • Patterns of distributive environmental inequity under different PM2.5 air pollution scenarios for Salt Lake County public schools, 2020, Environmental Research
  • Evaluating Wildfire Smoke Transport Within a Coupled Fire-Atmosphere Model Using a High-Density Observation Network for an Episodic Smoke Event Along Utah's Wasatch Front, 2020, Journal of Geophysical Research Atmospheres
  • Exploring eFPGA-based Redaction for IP Protection, 2021, Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

Pierre-Emmanuel Gaillardon has also contributed to book publications, including the title VLSI-SoC: New Technology Enabler, published by Springer Science+Business Media in 2020.

Best Publications

  • Polarity control in double-gate, gate-all-around vertically stacked silicon nanowire FETs

    M. De Marchi;D. Sacchetto;S. Frache;J. Zhang

  • Advances, challenges and opportunities in 3D CMOS sequential integration

    P. Batude;M. Vinet;B. Previtali;C. Tabone

  • The EPFL Combinational Benchmark Suite

    Luca Amarù;Pierre-Emmanuel Gaillardon;Giovanni De Micheli

  • 3-D Sequential Integration: A Key Enabling Technology for Heterogeneous Co-Integration of New Function With CMOS

    P. Batude;T. Ernst;J. Arcamone;G. Arndt

  • Majority-Inverter Graph: A New Paradigm for Logic Optimization

    Luca Amaru;Pierre-Emmanuel Gaillardon;Giovanni De Micheli

  • Majority-Inverter Graph: A Novel Data-Structure and Algorithms for Efficient Logic Optimization

    Luca Amarú;Pierre-Emmanuel Gaillardon;Giovanni De Micheli

  • Can we go towards true 3-D architectures?

    Pierre-Emmanuel Gaillardon;Haykel Ben-Jamaa;Paul-Henry Morel;Jean-Philippe Noel

  • Doping-Free Complementary Logic Gates Enabled by Two-Dimensional Polarity-Controllable Transistors

    Giovanni V. Resta;Yashwanth Balaji;Dennis Lin;Iuliana P. Radu

  • The Programmable Logic-in-Memory (PLiM) computer

    Pierre-Emmanuel Gaillardon;Luca Amaru;Anne Siemon;Eike Linn

  • Configurable Logic Gates Using Polarity-Controlled Silicon Nanowire Gate-All-Around FETs

    Michele De Marchi;Jian Zhang;Stefano Frache;Davide Sacchetto

  • Top–Down Fabrication of Gate-All-Around Vertically Stacked Silicon Nanowire FETs With Controllable Polarity

    Michele De Marchi;Davide Sacchetto;Jian Zhang;Stefano Frache

  • SpinalFlow: an architecture and dataflow tailored for spiking neural networks

    Surya Narayanan;Karl Taht;Rajeev Balasubramonian;Edouard Giacomin

  • Emerging Technology-Based Design of Primitives for Hardware Security

    Yu Bi;Kaveh Shamsi;Jiann-Shiun Yuan;Pierre-Emmanuel Gaillardon

  • Polarity control in WSe2 double-gate transistors

    Giovanni V. Resta;Surajit Sutar;Surajit Sutar;Yashwanth Balaji;Dennis Lin

  • Polarity-Controllable Silicon Nanowire Transistors With Dual Threshold Voltages

    Jian Zhang;Michele De Marchi;Davide Sacchetto;Pierre-Emmanuel Gaillardon

  • Configurable Circuits Featuring Dual-Threshold-Voltage Design With Three-Independent-Gate Silicon Nanowire FETs

    Jian Zhang;Xifan Tang;Pierre-Emmanuel Gaillardon;Giovanni De Micheli

  • Exact Synthesis of Majority-Inverter Graphs and Its Applications

    Mathias Soeken;Luca Gaetano Amaru;Pierre-Emmanuel Gaillardon;Giovanni De Micheli

  • Memristive logic: A framework for evaluation and comparison

    John Reuben;Rotem Ben-Hur;Nimrod Wald;Nishil Talati

  • A Schottky-barrier silicon FinFET with 6.0 mV/dec Subthreshold Slope over 5 decades of current

    Jian Zhang;Michele De Marchi;Pierre-Emmanuel Gaillardon;Giovanni De Micheli

  • Leveraging Emerging Technology for Hardware Security - Case Study on Silicon Nanowire FETs and Graphene SymFETs

    Yu Bi;Pierre-Emmanuel Gaillardon;X. Sharon Hu;Michael Niemier

  • Energy/Reliability Trade-Offs in Low-Voltage ReRAM-Based Non-Volatile Flip-Flop Design

    Ibrahim Kazi;Pascal Meinerzhagen;Pierre-Emmanuel Gaillardon;Davide Sacchetto

  • Fast logic synthesis for RRAM-based in-memory computing using Majority-Inverter Graphs

    Saeideh Shirinzadeh;Mathias Soeken;Pierre-Emmanuel Gaillardon;Rolf Drechsler

  • TheProgrammable Logic-in-Memory(PLiM) Computer

    Pierre-Emmanuel Gaillardon;Luca Amarú;Anne Siemon;Eike Linn

Frequent Co-Authors

Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Shahar Kvatinsky
Shahar Kvatinsky Technion – Israel Institute of Technology
Michael Niemier
Michael Niemier University of Notre Dame
Iuliana Radu
Iuliana Radu Taiwan Semiconductor Manufacturing Company (Taiwan)
Alan Mishchenko
Alan Mishchenko University of California, Berkeley
Rolf Drechsler
Rolf Drechsler University of Bremen
Ross T. Whitaker
Ross T. Whitaker University of Utah
Yier Jin
Yier Jin University of Florida

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