D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 31 Citations 5,072 116 World Ranking 3276 National Ranking 384

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Normal distribution
  • Telecommunications

Matthew R. McKay focuses on MIMO, Fading, Control theory, Topology and Applied mathematics. His research integrates issues of Signal-to-noise ratio, Upper and lower bounds, Spatial correlation and Multiplexing in his study of MIMO. Matthew R. McKay has researched Fading in several fields, including Transmission, Secure transmission and Electronic engineering.

Matthew R. McKay works mostly in the field of Control theory, limiting it down to topics relating to Channel capacity and, in certain cases, Beamforming and Throughput. His study in Topology is interdisciplinary in nature, drawing from both Relay channel and Block code. His work carried out in the field of Applied mathematics brings together such families of science as Random matrix, Rician fading, Combinatorics, Joint probability distribution and Estimator.

His most cited work include:

  • Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies. (573 citations)
  • Secure Transmission With Artificial Noise Over Fading Channels: Achievable Rate and Optimal Power Allocation (439 citations)
  • Performance Analysis of MIMO-MRC in Double-Correlated Rayleigh Environments (261 citations)

What are the main themes of his work throughout his whole career to date?

MIMO, Communication channel, Topology, Beamforming and Transmission are his primary areas of study. His MIMO research incorporates elements of Spatial correlation, Control theory, Fading, Signal-to-noise ratio and Algorithm. In the field of Communication channel, his study on Channel capacity overlaps with subjects such as Rayleigh scattering.

His Topology research focuses on subjects like Channel state information, which are linked to Transmitter. Electronic engineering covers Matthew R. McKay research in Beamforming. His Transmission research is multidisciplinary, incorporating perspectives in Spatial multiplexing, Computer network and Transmitter power output.

He most often published in these fields:

  • MIMO (41.39%)
  • Communication channel (27.46%)
  • Topology (22.13%)

What were the highlights of his more recent work (between 2019-2021)?

  • Epitope (4.51%)
  • Severe acute respiratory syndrome coronavirus 2 (2.87%)
  • Computational biology (4.92%)

In recent papers he was focusing on the following fields of study:

His main research concerns Epitope, Severe acute respiratory syndrome coronavirus 2, Computational biology, Communication channel and B cell. His Epitope study deals with Virology intersecting with Epitope mapping. The concepts of his Communication channel study are interwoven with issues in Upper and lower bounds, Estimator and Communications system.

In his work, Mathematical optimization, Channel state information and Topology is strongly intertwined with System parameters, which is a subfield of Upper and lower bounds. His research investigates the connection between B cell and topics such as Major histocompatibility complex that intersect with issues in Virus. His Beamforming research is multidisciplinary, relying on both Transmission, Path loss, Quantum key distribution, MIMO and Multiplexing.

Between 2019 and 2021, his most popular works were:

  • Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies. (573 citations)
  • COVIDep: a web-based platform for real-time reporting of vaccine target recommendations for SARS-CoV-2. (21 citations)
  • Preliminary identification of potential vaccine targets for 2019-nCoV based on SARS-CoV immunological studies (9 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Telecommunications
  • Normal distribution

Matthew R. McKay mainly investigates Epitope, Computational biology, Severe acute respiratory syndrome coronavirus 2, T cell and Major histocompatibility complex. Matthew R. McKay performs integrative study on Epitope and Coronavirus in his works. Matthew R. McKay integrates several fields in his works, including Coronavirus and Reverse vaccinology.

His T cell research is multidisciplinary, incorporating elements of Immunity and Immunogenicity. His Major histocompatibility complex study combines topics from a wide range of disciplines, such as Novel virus, B cell and Virology. His studies in B cell integrate themes in fields like Virus and Epitope mapping.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies.

Syed Faraz Ahmed;Ahmed Abdul Quadeer;Matthew Robert Mckay.
Viruses (2020)

795 Citations

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

Xiangyun Zhou;M R McKay.
IEEE Transactions on Vehicular Technology (2010)

540 Citations

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

M.R. McKay;A.J. Grant;I.B. Collings.
IEEE Transactions on Communications (2007)

299 Citations

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

Shi Jin;Matthew R McKay;Caijun Zhong;Kai-Kit Wong.
IEEE Transactions on Information Theory (2010)

252 Citations

Rethinking the Secrecy Outage Formulation: A Secure Transmission Design Perspective

Xiangyun Zhou;M R McKay;B Maham;A Hjørungnes.
IEEE Communications Letters (2011)

243 Citations

General capacity bounds for spatially correlated Rician MIMO channels

M.R. McKay;I.B. Collings.
IEEE Transactions on Information Theory (2005)

217 Citations

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

Xi Zhang;Xiangyun Zhou;M. R. McKay.
IEEE Transactions on Vehicular Technology (2013)

212 Citations

Adaptive MIMO Transmission for Exploiting the Capacity of Spatially Correlated Channels

A. Forenza;M.R. McKay;M.R. McKay;A. Pandharipande;R.W. Heath.
IEEE Transactions on Vehicular Technology (2007)

207 Citations

Error probability and SINR analysis of optimum combining in rician fading

M. Mckay;A. Zanella;I. Collings;M. Chiani.
IEEE Transactions on Communications (2009)

162 Citations

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.
IEEE Transactions on Communications (2008)

142 Citations

Best Scientists Citing Matthew R. McKay

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Xiqi Gao

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Shi Jin

Shi Jin

Southeast University

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Hui-Ming Wang

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Xi'an Jiaotong University

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Nan Yang

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Australian National University

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Jinhong Yuan

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UNSW Sydney

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King Abdullah University of Science and Technology

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Queen Mary University of London

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Kai-Kit Wong

Kai-Kit Wong

University College London

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Michail Matthaiou

Michail Matthaiou

Queen's University Belfast

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Robert W. Heath

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North Carolina State University

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Caijun Zhong

Caijun Zhong

Zhejiang University

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Iain B. Collings

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Macquarie University

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Trung Q. Duong

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Queen's University Belfast

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Xiangyun Zhou

Xiangyun Zhou

Australian National University

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Robert Schober

Robert Schober

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Bjorn Ottersten

Bjorn Ottersten

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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