World's Best Scientists 2026 revealed!
Luca Benini

Luca Benini

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Computer Science
Switzerland
2026
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Electronics and Electrical Engineering
Switzerland
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
126
Citations
68645
World Ranking
46
National Ranking
2

Computer Science

D-Index
128
Citations
69733
World Ranking
105
National Ranking
1

Luca Benini 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 Luca Benini 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: 1,561 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Luca Benini 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 Luca Benini 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: 126 D-Index — 99th percentile

99% 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 Computer Science in Switzerland Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2016 - ACM Fellow For contributions to the design of low power multi-processor systems.
  • 2010 - Member of Academia Europaea
  • 2007 - IEEE Fellow For contributions to design technologies for low power design of integrated circuits and systems

Overview

Luca Benini is affiliated with ETH Zurich in Switzerland. Their research spans several fields within computer science and engineering, with a focus on electrical and electronic engineering, hardware and architecture, computer networks and communications, computer vision and pattern recognition, and artificial intelligence.

The scientist has contributed significantly to topics including parallel computing and optimization techniques, advanced memory and neural computing, advanced neural network applications, ferroelectric and negative capacitance devices, EEG and brain-computer interfaces, interconnection networks and systems, and advanced data storage technologies.

Among recent publications, some notable papers include:

  • A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition (2020, Nature Electronics)
  • EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces (2020, Archivio istituzionale della ricerca - Alma Mater Studiorum Università di Bologna)
  • In-memory hyperdimensional computing (2020, Nature Electronics)
  • FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things (2020, IEEE Internet of Things Journal)
  • Constrained Few-shot Class-incremental Learning (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition - CVPR)

Frequent co-authors in Luca Benini's research include Michele Magno, Francesco Conti, Simone Benatti, Davide Rossi, and Andrea Bartolini.

The scientist has published extensively in venues such as arXiv (Cornell University), Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna), IEEE Transactions on Computers, Zenodo (CERN European Organization for Nuclear Research), and IEEE Internet of Things Journal.

Honors awarded to Luca Benini include:

  • ACM Fellow (2016), for contributions to the design of low power multi-processor systems
  • Member of Academia Europaea (2010)
  • IEEE Fellow (2007), for contributions to design technologies for low power design of integrated circuits and systems

Best Publications

  • Networks on chips: a new SoC paradigm

    L. Benini;G. De Micheli

  • A survey of design techniques for system-level dynamic power management

    L. Benini;A. Bogliolo;G. De Micheli

  • NoC synthesis flow for customized domain specific multiprocessor systems-on-chip

    D. Bertozzi;A. Jalabert;Srinivasan Murali;R. Tamhankar

  • System-level power optimization: techniques and tools

    Luca Benini;Giovanni de Micheli

  • Networks on Chips: Technology and Tools

    Giovanni De Micheli;Luca Benini

  • Xpipes: a network-on-chip architecture for gigascale systems-on-chip

    D. Bertozzi;L. Benini

  • Analysis of power consumption on switch fabrics in network routers

    Terry Tao Ye;Giovanni De Micheli;Luca Benini

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

    Ali Moin;Andy Zhou;Abbas Rahimi;Alisha Menon

  • Policy optimization for dynamic power management

    L. Benini;A. Bogliolo;G.A. Paleologo;G. De Micheli

  • Dynamic Power Management: Design Techniques and CAD Tools

    Luca Benini;Giovanni de Micheli

  • Modeling and Optimization of a Solar Energy Harvester System for Self-Powered Wireless Sensor Networks

    D. Dondi;A. Bertacchini;D. Brunelli;L. Larcher

  • Design Issues and Considerations for Low-Cost 3-D TSV IC Technology

    G Van der Plas;P Limaye;I Loi;A Mercha

  • Analysis of error recovery schemes for networks on chips

    S. Murali;T. Theocharides;N. Vijaykrishnan;M.J. Irwin

  • Near-Threshold RISC-V Core With DSP Extensions for Scalable IoT Endpoint Devices

    Michael Gautschi;Pasquale Davide Schiavone;Andreas Traber;Igor Loi

  • Asymptotic zero-transition activity encoding for address busses in low-power microprocessor-based systems

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

  • Soft-to-hard vector quantization for end-to-end learning compressible representations

    Eirikur Agustsson;Fabian Mentzer;Michael Tschannen;Lukas Cavigelli

  • Activity recognition from on-body sensors: accuracy-power trade-off by dynamic sensor selection

    Piero Zappi;Clemens Lombriser;Thomas Stiefmeier;Elisabetta Farella

  • ×pipesCompiler: A Tool for Instantiating Application Specific Networks on Chip

    Antoine Jalabert;Srinivasan Murali;Luca Benini;Giovanni De Micheli

  • The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-Ready 1.7-GHz 64-Bit RISC-V Core in 22-nm FDSOI Technology

    Florian Zaruba;Luca Benini

  • Dynamic power management for nonstationary service requests

    Eui-Young Chung;L. Benini;A. Bogliolo;Yung-Hsiang Lu

  • Policy optimization for dynamic power management

    G. A. Paleologo;L. Benini;A. Bogliolo;G. De Micheli

Frequent Co-Authors

Davide Brunelli
Davide Brunelli University of Trento
G. De Micheli
G. De Micheli École Polytechnique Fédérale de Lausanne
Michele Magno
Michele Magno ETH Zurich
Davide Rossi
Davide Rossi University of Bologna
Massimo Poncino
Massimo Poncino Polytechnic University of Turin
Enrico Macii
Enrico Macii Polytechnic University of Turin
Elisabetta Farella
Elisabetta Farella Fondazione Bruno Kessler
Alberto Macii
Alberto Macii Polytechnic University of Turin
Abbas Rahimi
Abbas Rahimi IBM (United States)
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne

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