H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 48 Citations 14,681 186 World Ranking 1316 National Ranking 599

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Telecommunications
  • Algorithm

Akbar M. Sayeed mainly investigates MIMO, Communication channel, Wireless, Electronic engineering and Channel capacity. Akbar M. Sayeed has researched MIMO in several fields, including Beamforming, Spectral efficiency and Antenna array. His Communication channel study integrates concerns from other disciplines, such as Algorithm, Spatial correlation and Topology.

The Wireless study combines topics in areas such as Key generation, Cryptography and Wireless sensor network, Computer network. His Electronic engineering study focuses on Bandwidth in particular. His Channel capacity study combines topics from a wide range of disciplines, such as Degrees of freedom and Representation.

His most cited work include:

  • An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (1344 citations)
  • Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels (871 citations)
  • Detection, classification, and tracking of targets (850 citations)

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

His primary areas of investigation include Communication channel, MIMO, Electronic engineering, Algorithm and Wireless. His Communication channel research incorporates elements of Transmitter and Topology. His studies in MIMO integrate themes in fields like Spatial correlation and Control theory.

His study ties his expertise on MIMO-OFDM together with the subject of Electronic engineering. As a part of the same scientific study, Akbar M. Sayeed usually deals with the Algorithm, concentrating on Time–frequency analysis and frequently concerns with Quadratic equation, Signal processing and Bilinear interpolation. His research in Wireless intersects with topics in Key generation, Wireless sensor network, Computer network, Reduction and Real-time computing.

He most often published in these fields:

  • Communication channel (50.44%)
  • MIMO (34.96%)
  • Electronic engineering (34.51%)

What were the highlights of his more recent work (between 2012-2020)?

  • Electronic engineering (34.51%)
  • MIMO (34.96%)
  • 3G MIMO (11.50%)

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

His scientific interests lie mostly in Electronic engineering, MIMO, 3G MIMO, Spatial multiplexing and Beamforming. His Electronic engineering research is multidisciplinary, relying on both Interference, Antenna array and Aperture. His study in MIMO is interdisciplinary in nature, drawing from both Wireless, Phased array and Bandwidth.

The study incorporates disciplines such as Computer network, Signal processing, Bandwidth allocation and Gigabit in addition to Wireless. His Spatial multiplexing research incorporates themes from Multiplexing and Electrical engineering. His Communication channel research includes elements of Beamwidth, Algorithm, Data conversion and Wideband.

Between 2012 and 2020, his most popular works were:

  • An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (1344 citations)
  • Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements (538 citations)
  • Beamspace MIMO for high-dimensional multiuser communication at millimeter-wave frequencies (206 citations)

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

  • Statistics
  • Telecommunications
  • Artificial intelligence

His primary areas of study are MIMO, Electronic engineering, Spatial multiplexing, Multi-user MIMO and 3G MIMO. The concepts of his MIMO study are interwoven with issues in Beamforming and Bandwidth. His Bandwidth research is multidisciplinary, incorporating elements of Wireless and Communications system.

His Wireless study combines topics from a wide range of disciplines, such as Computer network and Spectral efficiency. His Spatial multiplexing research is multidisciplinary, relying on both Multiplexing and MIMO-OFDM. His Communication channel research is multidisciplinary, incorporating perspectives in Computational complexity theory, Communication complexity, Matched filter and Radar.

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

Detection, classification, and tracking of targets

Dan Li;K.D. Wong;Yu Hen Hu;A.M. Sayeed.
IEEE Signal Processing Magazine (2002)

1547 Citations

An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

Robert W. Heath;Nuria Gonzalez-Prelcic;Sundeep Rangan;Wonil Roh.
IEEE Journal of Selected Topics in Signal Processing (2016)

1282 Citations

Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels

Waheed U Bajwa;Jarvis Haupt;Akbar M Sayeed;Robert Nowak.
Proceedings of the IEEE (2010)

1036 Citations

Deconstructing multiantenna fading channels

A.M. Sayeed.
IEEE Transactions on Signal Processing (2002)

1027 Citations

Distributed target classification and tracking in sensor networks

R.R. Brooks;P. Ramanathan;A.M. Sayeed.
Proceedings of the IEEE (2003)

717 Citations

Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements

John Brady;Nader Behdad;Akbar M. Sayeed.
IEEE Transactions on Antennas and Propagation (2013)

560 Citations

Joint multipath-Doppler diversity in mobile wireless communications

A.M. Sayeed;B. Aazhang.
IEEE Transactions on Communications (1999)

471 Citations

Compressive wireless sensing

Waheed Bajwa;Jarvis Haupt;Akbar Sayeed;Robert Nowak.
information processing in sensor networks (2006)

447 Citations

Detection, Classification and Tracking of Targets in Distributed Sensor Networks

Dan Li;Kerry D. Wong;Yu H. Hu;Akbar M. Sayeed.
(2002)

396 Citations

Improved wavelet denoising via empirical Wiener filtering

Sandeep P. Ghael;Akbar M. Sayeed;Richard G. Baraniuk.
SPIE Technical Conference on Wavelet Applications in Signal Processing (1997)

374 Citations

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