World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
6871
World Ranking
5065
National Ranking
743

Matthew R. McKay 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 Matthew R. McKay 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: 186 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Matthew R. McKay 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 Matthew R. McKay 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Matthew R. McKay is a researcher affiliated with the Hong Kong University of Science and Technology in China. Their work spans multiple disciplines, primarily focusing on medicine and engineering.

Their research includes significant contributions to infectious diseases, electrical and electronic engineering, molecular biology, artificial intelligence, and immunology. McKay's studies mainly address SARS-CoV-2 and COVID-19 research, vaccines and immunoinformatics approaches, advanced wireless communication technologies, quantum information and cryptography, hepatitis C virus research, immunotherapy and immune responses, as well as monoclonal and polyclonal antibodies research.

Notable published papers include the following:

  • Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies (2020) published in Viruses
  • Channel Estimation for Reconfigurable Intelligent Surface Aided MISO Communications: From LMMSE to Deep Learning Solutions (2021) published in IEEE Open Journal of the Communications Society
  • SARS-CoV-2 T Cell Responses Elicited by COVID-19 Vaccines or Infection Are Expected to Remain Robust against Omicron (2022) published in Viruses
  • Vaccinia-Virus-Based Vaccines Are Expected to Elicit Highly Cross-Reactive Immunity to the 2022 Monkeypox Virus (2022) published in Viruses
  • In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives (2021) published in Advanced Drug Delivery Reviews

Frequent collaborators include:

  • Ahmed Abdul Quadeer
  • Syed Faraz Ahmed
  • Neel Kanth Kundu
  • Muhammad Saqib Sohail
  • John P. Barton

Common publication venues for McKay's research include:

  • Abstracts with programs - Geological Society of America
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Nature Communications
  • Viruses

McKay's work covers diverse areas in the following main fields of study:

  • Medicine
  • Engineering

With a strong emphasis on subfields, the research addresses:

  • Infectious Diseases
  • Electrical and Electronic Engineering
  • Molecular Biology
  • Artificial Intelligence
  • Immunology

Major topics of McKay's scientific contributions revolve around:

  • SARS-CoV-2 and COVID-19 Research
  • Vaccines and immunoinformatics approaches
  • Advanced Wireless Communication Technologies
  • Quantum Information and Cryptography
  • Hepatitis C virus research
  • Immunotherapy and Immune Responses
  • Monoclonal and Polyclonal Antibodies Research

Best Publications

  • Secure Transmission With Artificial Noise Over Fading Channels: Achievable Rate and Optimal Power Allocation

    Xiangyun Zhou;M R McKay

  • Performance Analysis of MIMO-MRC in Double-Correlated Rayleigh Environments

    M.R. McKay;A.J. Grant;I.B. Collings

  • Rethinking the Secrecy Outage Formulation: A Secure Transmission Design Perspective

    Xiangyun Zhou;M R McKay;B Maham;A Hjørungnes

  • Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems

    Shi Jin;Matthew R McKay;Caijun Zhong;Kai-Kit Wong

  • General capacity bounds for spatially correlated Rician MIMO channels

    M.R. McKay;I.B. Collings

  • On the Design of Artificial-Noise-Aided Secure Multi-Antenna Transmission in Slow Fading Channels

    Xi Zhang;Xiangyun Zhou;M. R. McKay

  • Adaptive MIMO Transmission for Exploiting the Capacity of Spatially Correlated Channels

    A. Forenza;M.R. McKay;M.R. McKay;A. Pandharipande;R.W. Heath

  • Error probability and SINR analysis of optimum combining in rician fading

    M. Mckay;A. Zanella;I. Collings;M. Chiani

  • On the condition number distribution of complex wishart matrices

    Michail Matthaiou;Matthew R Mckay;Peter J Smith;Josef A Nossek

  • Statistical Eigenmode Transmission Over Jointly Correlated MIMO Channels

    Xiqi Gao;Bin Jiang;Xiao Li;A.B. Gershman

  • MIMO multichannel beamforming: SER and outage using new eigenvalue distributions of complex noncentral Wishart matrices

    Shi Jin;M.R. McKay;Xiqi Gao;I.B. Collings

  • Sum Rate Analysis of ZF Receivers in Distributed MIMO Systems

    M. Matthaiou;Caijun Zhong;M. R. McKay;T. Ratnarajah

  • Adaptive MIMO transmission techniques for broadband wireless communication systems [Topics in Wireless Communications]

    Chan-Byoung Chae;Antonio Forenza;Robert W Heath;Matthew McKay

  • Channel Estimation for Reconfigurable Intelligent Surface Aided MISO Communications: From LMMSE to Deep Learning Solutions

    Neel Kanth Kundu;Matthew R. McKay

  • Achievable Sum Rate of MIMO MMSE Receivers: A General Analytic Framework

    M.R. McKay;I.B. Collings;A.M. Tulino

  • Capacity and performance of MIMO-BICM with zero-forcing receivers

    M.R. McKay;I.B. Collings

  • Enhancing Secrecy With Multi-Antenna Transmission in Wireless Ad Hoc Networks

    Xi Zhang;Xiangyun Zhou;Matthew R. McKay

  • Open-Loop Spatial Multiplexing and Diversity Communications in Ad Hoc Networks

    R H Y Louie;M R McKay;I B Collings

  • Power Allocation Schemes for Multicell Massive MIMO Systems

    Qi Zhang;Shi Jin;Matthew McKay;David Morales-Jimenez

  • Eigen-Based Transceivers for the MIMO Broadcast Channel With Semi-Orthogonal User Selection

    Liang Sun;Matthew R McKay

  • Asymptotic SER and Outage Probability of MIMO MRC in Correlated Fading

    Shi Jin;M.R. McKay;Xiqi Gao;I.B. Collings

Frequent Co-Authors

Iain B. Collings
Iain B. Collings Macquarie University
Shi Jin
Shi Jin Southeast University
Xiqi Gao
Xiqi Gao Southeast University
Kai-Kit Wong
Kai-Kit Wong University College London
Caijun Zhong
Caijun Zhong Zhejiang University
Xiangyun Zhou
Xiangyun Zhou Australian National University
Robert W. Heath
Robert W. Heath University of California, San Diego
Xi Zhang
Xi Zhang Texas A&M University
Khaled Ben Letaief
Khaled Ben Letaief Hong Kong University of Science and Technology
Michail Matthaiou
Michail Matthaiou Queen's University Belfast

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering, exploring related online degrees can expand career opportunities and accommodate diverse learning needs. Many working professionals benefit from accelerated online degrees, which allow faster completion while balancing work and study.

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