World's Best Scientists 2026 revealed!
Evangelos S. Eleftheriou

Evangelos S. Eleftheriou

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Electronics and Electrical Engineering
Netherlands
2026
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Computer Science
Switzerland
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
69
Citations
24852
World Ranking
947
National Ranking
8

Computer Science

D-Index
67
Citations
24231
World Ranking
2154
National Ranking
18

Evangelos S. Eleftheriou 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 Evangelos S. Eleftheriou 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: 335 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Evangelos S. Eleftheriou 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 Evangelos S. Eleftheriou 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: 69 D-Index — 86th percentile

86% 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 Netherlands Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2018 - Member of the National Academy of Engineering For contributions to digital storage and nanopositioning technologies, as implemented in hard disk-, tape-, and phase-change memory storage systems.
  • 2002 - IEEE Fellow For contributions to equalization and coding, and for noise-predictive maximum likelihood detection in magnetic recording.

Overview

Evangelos S. Eleftheriou is affiliated with Axelera.ai in the Netherlands. Their research focuses primarily on engineering and computer science, with specific expertise in electrical and electronic engineering, artificial intelligence, and cognitive neuroscience. Key areas of study also include computer vision and pattern recognition, as well as cellular and molecular neuroscience.

The main topics in Evangelos S. Eleftheriou's work include advanced memory and neural computing, ferroelectric and negative capacitance devices, neural dynamics and brain function, neural networks and reservoir computing, advanced neural network applications, neural networks and applications, and neuroscience and neural engineering.

They have published extensively, including articles in a number of scientific venues. Some notable recent papers are:

  • Memory devices and applications for in-memory computing, 2020, Nature Nanotechnology
  • Accurate deep neural network inference using computational phase-change memory, 2020, Repository for Publications and Research Data (ETH Zurich)
  • Mixed-Precision Deep Learning Based on Computational Memory, 2020, Frontiers in Neuroscience
  • HERMES-Core-A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs, 2022, IEEE Journal of Solid-State Circuits
  • Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses, 2020, Scientific Reports

Their work is frequently published in venues such as arXiv (Cornell University), Nature Nanotechnology, Repository for Publications and Research Data (ETH Zurich), Frontiers in Neuroscience, and IEEE Journal of Solid-State Circuits.

Evangelos S. Eleftheriou has collaborated regularly with several researchers, including:

  • Abu Sebastian
  • Stanisław Woźniak
  • Angeliki Pantazi
  • Manuel Le Gallo
  • Riduan Khaddam-Aljameh

Throughout their career, Evangelos S. Eleftheriou has been recognized with several distinctions. They became a member of the National Academy of Engineering in 2018 for contributions to digital storage and nanopositioning technologies implemented in hard disk, tape, and phase-change memory storage systems.

In 2002, they were named an IEEE Fellow for contributions to equalization and coding, and for noise-predictive maximum likelihood detection in magnetic recording.

Best Publications

  • Memory devices and applications for in-memory computing

    Abu Sebastian;Manuel Le Gallo;Riduan Khaddam-Aljameh;Evangelos Eleftheriou

  • Regular and irregular progressive edge-growth tanner graphs

    Xiao-Yu Hu;E. Eleftheriou;D.M. Arnold

  • Reduced-complexity decoding of LDPC codes

    Jinghu Chen;A. Dholakia;E. Eleftheriou;M.P.C. Fossorier

  • A Survey of Control Issues in Nanopositioning

    S. Devasia;E. Eleftheriou;S.O.R. Moheimani

  • Stochastic phase-change neurons

    Tomas Tuma;Angeliki Pantazi;Manuel Le Gallo;Manuel Le Gallo;Abu Sebastian

  • Neuromorphic computing with multi-memristive synapses

    Irem Boybat;Irem Boybat;Manuel Le Gallo;S. R. Nandakumar;S. R. Nandakumar;Timoleon Moraitis

  • Accurate deep neural network inference using computational phase-change memory.

    Vinay Joshi;Vinay Joshi;Manuel Le Gallo;Simon Haefeli;Simon Haefeli;Irem Boybat;Irem Boybat

  • Progressive edge-growth Tanner graphs

    Xiao-Yu Hu;E. Eleftheriou;D.-M. Arnold

  • Efficient implementations of the sum-product algorithm for decoding LDPC codes

    Xiao-Yu Hu;E. Eleftheriou;D.-M. Arnold;A. Dholakia

  • Tracking properties and steady-state performance of RLS adaptive filter algorithms

    E. Eleftheriou;D. Falconer

  • Write amplification analysis in flash-based solid state drives

    Xiao-Yu Hu;Evangelos Eleftheriou;Robert Haas;Ilias Iliadis

  • Mixed-precision in-memory computing

    Manuel Le Gallo;Manuel Le Gallo;Abu Sebastian;Roland Mathis;Matteo Manica;Matteo Manica

  • Recent Progress in Phase-Change Memory Technology

    Geoffrey W. Burr;Matthew J. BrightSky;Abu Sebastian;Huai-Yu Cheng

  • Filtered multitone modulation for very high-speed digital subscriber lines

    G. Cherubini;E. Eleftheriou;S. Olcer

  • "Millipede": a MEMS-based scanning-probe data-storage system

    E. Eleftheriou;T. Antonakopoulos;G.K. Binnig;G. Cherubini

  • Decoding of trellis-encoded signals in the presence of intersymbol interference and noise

    P.R. Chevillat;E. Eleftheriou

  • Low density parity check encoding method and device for data

    Evangelos Stavros Eleftheriou;Richard L Galbraith;Sedat Oelcer;エバンゲロス・スタフロス・エレフセリウ

  • Filter bank modulation techniques for very high speed digital subscriber lines

    G. Cherubini;E. Eleftheriou;S. Oker;J.M. Cioffi

  • Low-density parity-check codes for digital subscriber lines

    E. Eleftheriou;S. Olcer

  • Tutorial: Brain-inspired computing using phase-change memory devices

    Abu Sebastian;Manuel Le Gallo;Geoffrey W. Burr;Sangbum Kim

  • Write-erase endurance lifetime of memory storage devices

    Xiao-Yu Hu;Evangelos S. Eleftheriou;Robert Haas

  • Mixed-Precision 'Memcomputing'

    Manuel Le Gallo;Abu Sebastian;Roland Mathis;Matteo Manica

Frequent Co-Authors

Abu Sebastian
Abu Sebastian IBM Research - Zurich
Mark A. Lantz
Mark A. Lantz IBM Research - Zurich
Bipin Rajendran
Bipin Rajendran King's College London
Christoph Hagleitner
Christoph Hagleitner IBM (United States)
Hugo E. Rothuizen
Hugo E. Rothuizen IBM Research - Zurich
Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Matthew J. Breitwisch
Matthew J. Breitwisch IBM (United States)
Michel Despont
Michel Despont Swiss Center for Electronics and Microtechnology (Switzerland)
S. O. Reza Moheimani
S. O. Reza Moheimani The University of Texas at Dallas
Chung H. Lam
Chung H. Lam IBM (United States)

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Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, exploring related online degrees can open up diverse career opportunities. Fields like project management are closely linked to engineering disciplines. Pursuing a bachelor of project management can equip engineers with leadership and organizational skills vital for overseeing complex technical projects.

Many professionals balance work and study, making online degree programs for working adults a practical choice. These flexible programs allow learners to advance their education without pausing their careers, which is essential in fast-evolving tech industries.

Further specialization can be achieved through a master's in instructional design, ideal for engineers aspiring to create educational technologies or training modules. This degree complements technical expertise with skills in curriculum development and technology integration.

Additionally, many students prefer competency based masters degrees, which focus on demonstrated skills rather than time spent in class. This approach suits engineers who want to progress quickly by validating their existing competencies in specialized areas.

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