World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
6319
World Ranking
5490
National Ranking
279

Alex Yakovlev 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 Alex Yakovlev 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: 450 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Alex Yakovlev 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 Alex Yakovlev 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: 35 D-Index — 21st percentile

21% 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

  • 2017 - Fellow of the Royal Academy of Engineering (UK)

Overview

Alex Yakovlev is affiliated with Newcastle University in the United Kingdom. Their research primarily spans the fields of engineering and computer science, with a concentration on electrical and electronic engineering, computer networks and communications, and artificial intelligence.

Their work includes contributions to hardware and architecture as well as atomic and molecular physics and optics. The main scientific topics addressed in their research involve photonic and optical devices, optimization and search problems, photonic crystals and applications, ferroelectric and negative capacitance devices, advanced memory and neural computing, neural networks and reservoir computing, and parallel computing and optimization techniques.

Yakovlev has published extensively, with frequent appearances in venues such as arXiv (Cornell University), Physics of Particles and Nuclei, the 2022 Sixteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials), the Journal of Low Power Electronics and Applications, and IEEE Transactions on Circuits and Systems I Regular Papers.

Selected recent papers include:

  • Learning automata based energy-efficient AI hardware design for IoT applications, 2020, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Neural Network Design of Multilayer Metamaterial for Temporal Differentiation, 2022, Advanced Optical Materials
  • Low-Power Audio Keyword Spotting Using Tsetlin Machines, 2021, Journal of Low Power Electronics and Applications
  • Enabling High-Speed Computing with Electromagnetic Pulse Switching, 2020, Advanced Materials Technologies
  • REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence

Their frequent co-authors include Rishad Shafik, Víctor Pacheco-Peña, Ole-Christoffer Granmo, Tousif Rahman, and Adrian Wheeldon.

Alex Yakovlev was awarded the title of Fellow of the Royal Academy of Engineering (UK) in 2017.

Best Publications

  • Logic Synthesis for Asynchronous Controllers and Interfaces

    Jordi Cortadella;Michael Kishinevsky;A. Kondratyev;Luciano Lavagno

  • Concurrent hardware : the theory and practice of self-timed design

    Michael Kishinevsky;Alex Kondratyev;Alexander Taubin;Victor Varshavsky

  • Design and analysis of dual-rail circuits for security applications

    D. Sokolov;J. Murphy;A. Bystrov;A. Yakovlev

  • A Survey of Emerging Interconnects for On-Chip Efficient Multicast and Broadcast in Many-Cores

    Ammar Karkar;Terrence Mak;Kin-Fai Tong;Alex Yakovlev

  • Hardware Design and Petri Nets

    Alexander Yakovlev;Luis Gomes

  • Basic Gate Implementation of Speed-Independendent Circuits

    A. Kondratyev;M. Kishinevsky;B. Lin;P. Vanbekbergen

  • Time difference amplifier

    A.M. Abas;A. Bystrov;D.J. Kinniment;O.V. Maevsky

  • Comprehensive analysis of the impact of single and arrays of through silicon vias induced stress on high-k / metal gate CMOS performance

    A. Mercha;G. Van der Plas;V. Moroz;I. De Wolf

  • Synchronization circuit performance

    D.J. Kinniment;A. Bystrov;A.V. Yakovlev

  • Synthesizing Petri nets from state-based models

    Jordi Cortadella;Michael Kishinevsky;Luciano Lavagno;Alex Yakovlev

  • Energy-efficient approximate multiplier design using bit significance-driven logic compression

    Issa Qiqieh;Rishad Shafik;Ghaith Tarawneh;Danil Sokolov

  • Logic synthesis for asynchronous circuits based on STG unfoldings and incremental SAT

    Victor Khomenko;Maciej Koutny;Alex Yakovlev

  • On the models for asynchronous circuit behaviour with OR causality

    Alexandre Yakovlev;Michael Kishinevsky;Alex Kondratyev;Luciano Lavagno

  • A region-based theory for state assignment in speed-independent circuits

    J. Cortadella;M. Kishinevsky;A. Kondratyev;L. Lavagno

  • High-level modeling and design of asynchronous interface logic

    A.V. Yakovlev;A.M. Koelmans;L. Lavagno

  • Detecting State Encoding Conflicts in STG Unfoldings Using SAT

    Victor Khomenko;Maciej Koutny;Alex Yakovlev

  • Petrify: a tool for manipulating concurrent specifications and synthesis of asynchronous controllers

    J Cortadella;A Kondratyev;M Kishinevsky;L Lavagno

  • Detecting state coding conflicts in STG unfoldings using SAT

    V. Khomenko;M. Koutny;A. Yakovlev

  • Complete state encoding based on the theory of regions

    J. Cortadella;M. Kishinevsky;A. Kondratyev;L. Lavagno

  • Learning automata based energy-efficient AI hardware design for IoT applications.

    Adrian Wheeldon;Rishad Shafik;Tousif Rahman;Jie Lei

  • Modelling, analysis and synthesis of asynchronous control circuits using Petri nets

    A. V. Yakovlev;A. M. Koelmans;A. Semenov;D. J. Kinniment

Frequent Co-Authors

Luciano Lavagno
Luciano Lavagno Polytechnic University of Turin
Jordi Cortadella
Jordi Cortadella Universitat Politècnica de Catalunya
Michael Kishinevsky
Michael Kishinevsky Intel (United States)
Alexander Romanovsky
Alexander Romanovsky Newcastle University
Maciej Koutny
Maciej Koutny Newcastle University
Kin-Fai Tong
Kin-Fai Tong University College London
Wayne Luk
Wayne Luk Imperial College London
Maurizio Palesi
Maurizio Palesi University of Catania
Peter Y. K. Cheung
Peter Y. K. Cheung Imperial College London
Bashir M. Al-Hashimi
Bashir M. Al-Hashimi King's College London

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Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional Electronics and Electrical Engineering, numerous online degrees offer flexible and affordable options. Programs like an online masters in instructional design provide valuable skills for careers in education technology and training development, complementing technical backgrounds.

Many online degrees follow a competency based programs model, which allows students to progress at their own pace by demonstrating mastery of specific skills. This approach is particularly useful for working professionals looking to balance career and study efficiently.

Military spouses and dependents can also benefit from specialized options at online colleges for military spouses, which offer tailored support and flexibility to address unique challenges faced by military families.

Additionally, some institutions offer online colleges starting soon, enabling applicants to begin their studies without waiting for traditional semester start dates. This can be ideal for those eager to quickly enter or advance in fields related to electronics, electrical engineering, and beyond.

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