H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 8,983 124 World Ranking 8193 National Ranking 3810
Electronics and Electrical Engineering H-index 38 Citations 8,877 170 World Ranking 2069 National Ranking 866

Research.com Recognitions

Awards & Achievements

2004 - IEEE Fellow For contributions to the field of space-time signal processing for radar and wireless communications.

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Statistics
  • Telecommunications

His primary areas of investigation include MIMO, Communication channel, Computer network, Electronic engineering and Wireless. His MIMO research includes themes of Detector and Topology. His Communication channel research integrates issues from Transmitter and Algorithm.

His study on Cellular network is often connected to Jamming as part of broader study in Computer network. His Wireless research focuses on Transmitter power output and how it relates to Interference and Artificial noise. In his study, Base station is inextricably linked to Multi-user MIMO, which falls within the broad field of 3G MIMO.

His most cited work include:

  • An Overview of Massive MIMO: Benefits and Challenges (1455 citations)
  • Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey (926 citations)
  • Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey (448 citations)

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

His primary scientific interests are in MIMO, Communication channel, Algorithm, Telecommunications link and Electronic engineering. His MIMO research is multidisciplinary, incorporating perspectives in Transmitter, Computer network, Spectral efficiency and Topology. In Computer network, A. Lee Swindlehurst works on issues like Physical layer, which are connected to Wireless network.

His Communication channel research focuses on Wireless and how it connects with Signal processing. His Telecommunications link research incorporates themes from Real-time computing, Quantization, Base station and Modulation. His Precoding study incorporates themes from Spatial multiplexing, Multi-user MIMO, Phase-shift keying and 3G MIMO.

He most often published in these fields:

  • MIMO (39.92%)
  • Communication channel (33.72%)
  • Algorithm (27.52%)

What were the highlights of his more recent work (between 2018-2021)?

  • MIMO (39.92%)
  • Communication channel (33.72%)
  • Algorithm (27.52%)

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

A. Lee Swindlehurst spends much of his time researching MIMO, Communication channel, Algorithm, Wireless and Telecommunications link. His work carried out in the field of MIMO brings together such families of science as Delta-sigma modulation, Spectral efficiency, Support vector machine and Orthogonal frequency-division multiplexing. The Communication channel study combines topics in areas such as Signal-to-noise ratio, Secure transmission and Artificial noise.

His Algorithm research is multidisciplinary, incorporating elements of Path loss, Upper and lower bounds, Estimator and Joint. A. Lee Swindlehurst combines subjects such as Electronic engineering, Computer network and Signal with his study of Wireless. His biological study spans a wide range of topics, including Quantization, Computational complexity theory, Iterative method, Trajectory optimization and Topology.

Between 2018 and 2021, his most popular works were:

  • Delay-Intolerant Covert Communications With Either Fixed or Random Transmit Power (60 citations)
  • Cancelable Biometric Recognition With ECGs: Subspace-Based Approaches (17 citations)
  • One-Bit Sigma-Delta MIMO Precoding (16 citations)

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

  • Statistics
  • Telecommunications
  • Computer network

His main research concerns Communication channel, MIMO, Algorithm, Telecommunications link and Wireless. The study incorporates disciplines such as Artificial noise and Modulation in addition to Communication channel. His research on MIMO focuses in particular on Precoding.

His research investigates the link between Algorithm and topics such as Estimator that cross with problems in Finite impulse response, Bandwidth, Path loss, Fisher information and Upper and lower bounds. His Telecommunications link study also includes fields such as

  • Quantization that intertwine with fields like Signal-to-noise ratio,
  • Iterative method which intersects with area such as Reflection coefficient and Real-time computing,
  • Topology that connect with fields like Benchmark, Continuous phase modulation, Phase, Channel state information and Base station. Many of his research projects under Wireless are closely connected to Surface with Surface, tying the diverse disciplines of science together.

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.

Top Publications

An Overview of Massive MIMO: Benefits and Challenges

Lu Lu;Geoffrey Ye Li;A. Lee Swindlehurst;Alexei E. Ashikhmin.
IEEE Journal of Selected Topics in Signal Processing (2014)

1896 Citations

Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey

Amitav Mukherjee;S. Ali A. Fakoorian;Jing Huang;A. Lee Swindlehurst.
IEEE Communications Surveys and Tutorials (2014)

1122 Citations

Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey

Amitav Mukherjee;S. A. A. Fakoorian;Jing Huang;A. Lee Swindlehurst.
arXiv: Information Theory (2010)

703 Citations

Millimeter-wave massive MIMO: the next wireless revolution?

A. Lee Swindlehurst;Ender Ayanoglu;Payam Heydari;Filippo Capolino.
IEEE Communications Magazine (2014)

687 Citations

Robust Beamforming for Security in MIMO Wiretap Channels With Imperfect CSI

Amitav Mukherjee;A Lee Swindlehurst.
IEEE Transactions on Signal Processing (2011)

453 Citations

Wireless Relay Communications with Unmanned Aerial Vehicles: Performance and Optimization

Pengcheng Zhan;Kai Yu;A. Lee Swindlehurst.
IEEE Transactions on Aerospace and Electronic Systems (2011)

327 Citations

Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems

Yongzhi Li;Cheng Tao;Gonzalo Seco-Granados;Amine Mezghani.
IEEE Transactions on Signal Processing (2017)

313 Citations

Fixed SINR solutions for the MIMO wiretap channel

A. Lee Swindlehurst.
international conference on acoustics, speech, and signal processing (2009)

265 Citations

Secure Communication Via an Untrusted Non-Regenerative Relay in Fading Channels

Jing Huang;Amitav Mukherjee;A. Lee Swindlehurst.
IEEE Transactions on Signal Processing (2013)

143 Citations

Downlink Resource Reuse for Device-to-Device Communications Underlaying Cellular Networks

Daohua Zhu;Jiaheng Wang;A. Lee Swindlehurst;Chunming Zhao.
IEEE Signal Processing Letters (2014)

140 Citations

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

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