H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 54 Citations 15,869 365 World Ranking 867 National Ranking 7

Research.com Recognitions

Awards & Achievements

2012 - IEEE Fellow For contributions to signal processing for communications

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Algorithm
  • Telecommunications

Algorithm, Electronic engineering, Communication channel, Telecommunications and Orthogonal frequency-division multiplexing are his primary areas of study. His research in Algorithm intersects with topics in Discrete mathematics, Multiplexing, Frequency domain and Signal reconstruction. His specific area of interest is Electronic engineering, where Geert Leus studies Beamforming.

Geert Leus does research in Communication channel, focusing on Precoding specifically. His studies examine the connections between Telecommunications and genetics, as well as such issues in Bandwidth, with regards to Hydrophone. His work in Orthogonal frequency-division multiplexing tackles topics such as Control theory which are related to areas like Equalization, MIMO-OFDM, Mean squared error, Intersymbol interference and Bit error rate.

His most cited work include:

  • Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (1552 citations)
  • Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances (873 citations)
  • Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (717 citations)

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

Geert Leus focuses on Algorithm, Electronic engineering, Communication channel, Equalization and Mathematical optimization. His Algorithm research focuses on Graph and how it relates to Graph and Discrete mathematics. As a member of one scientific family, Geert Leus mostly works in the field of Electronic engineering, focusing on Cognitive radio and, on occasion, Efficient energy use.

His work carried out in the field of Communication channel brings together such families of science as Multiplexing and Control theory. The concepts of his Equalization study are interwoven with issues in Wireless, Equalizer, Digital signal processing, Code division multiple access and Interference. He combines subjects such as Wireless sensor network and Convex optimization with his study of Mathematical optimization.

He most often published in these fields:

  • Algorithm (41.41%)
  • Electronic engineering (25.52%)
  • Communication channel (23.60%)

What were the highlights of his more recent work (between 2016-2021)?

  • Algorithm (41.41%)
  • Graph (6.10%)
  • Graph (6.58%)

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

His scientific interests lie mostly in Algorithm, Graph, Graph, Theoretical computer science and Signal processing. His Algorithm study incorporates themes from Covariance, Frequency domain and Convex optimization. His studies deal with areas such as Matrix decomposition, Convolutional neural network, Leverage and Pooling as well as Graph.

His Graph research integrates issues from Discrete mathematics, Random graph and Filter, Filter design. His Signal processing research incorporates elements of Submodular set function and Detector. Precoding is a primary field of his research addressed under Communication channel.

Between 2016 and 2021, his most popular works were:

  • Stationary Graph Processes and Spectral Estimation (157 citations)
  • Convolutional Neural Network Architectures for Signals Supported on Graphs (142 citations)
  • Autoregressive Moving Average Graph Filtering (142 citations)

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

  • Statistics
  • Algorithm
  • Artificial intelligence

His primary areas of investigation include Algorithm, Graph, Graph, Theoretical computer science and Network topology. His Algorithm study combines topics in areas such as Discrete mathematics, Leverage, Graph signal processing, Signal processing and Autoregressive model. His biological study spans a wide range of topics, including Matrix decomposition, Frequency response and Filter.

His Network topology study also includes fields such as

  • Controllability that connect with fields like Randomness, Network model and Stochastic process,
  • Topology and related Communication channel, State space, Sample, Covariance and Channel state information. His Communication channel research includes themes of Transmitter and Decoding methods. His research on Multiplexing concerns the broader Electronic engineering.

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

Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

Ahmed Alkhateeb;Omar El Ayach;Geert Leus;Robert W. Heath.
IEEE Journal of Selected Topics in Signal Processing (2014)

1489 Citations

Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances

E. Axell;G. Leus;E. G. Larsson;H. V. Poor.
IEEE Signal Processing Magazine (2012)

1160 Citations

Optimal training design for MIMO OFDM systems in mobile wireless channels

I. Barhumi;G. Leus;M. Moonen.
IEEE Transactions on Signal Processing (2003)

1022 Citations

Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems

Ahmed Alkhateeb;Geert Leus;Robert W. Heath.
IEEE Transactions on Wireless Communications (2015)

864 Citations

Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems

Zijian Tang;R.C. Cannizzaro;G. Leus;P. Banelli.
IEEE Transactions on Signal Processing (2007)

529 Citations

Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling

Hao Zhu;Geert Leus;Georgios B Giannakis.
IEEE Transactions on Signal Processing (2011)

375 Citations

Hybrid precoding for millimeter wave cellular systems with partial channel knowledge

A. Alkhateeb;O. El Ayach;G. Leus;Robert W. Heath.
information theory and applications (2013)

343 Citations

Energy-Efficient Distributed Spectrum Sensing for Cognitive Sensor Networks

S Maleki;A Pandharipande;G Leus.
IEEE Sensors Journal (2011)

340 Citations

Compressive wide-band spectrum sensing

Yvan Lamelas Polo;Ying Wang;Ashish Pandharipande;Geert Leus.
international conference on acoustics, speech, and signal processing (2009)

338 Citations

Noncoherent ultra-wideband systems

K. Witrisal;G. Leus;G. Janssen;M. Pausini.
IEEE Signal Processing Magazine (2009)

314 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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Top Scientists Citing Geert Leus

Robert W. Heath

Robert W. Heath

North Carolina State University

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University of Minnesota

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Yonina C. Eldar

Yonina C. Eldar

Weizmann Institute of Science

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Tsinghua University

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University of Southampton

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Feifei Gao

Feifei Gao

Tsinghua University

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Shi Jin

Shi Jin

Southeast University

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Geoffrey Ye Li

Geoffrey Ye Li

Imperial College London

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Xiaoli Ma

Xiaoli Ma

Georgia Institute of Technology

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Shengli Zhou

Shengli Zhou

University of Connecticut

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Yonghui Li

Yonghui Li

University of Sydney

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Ahmed Alkhateeb

Ahmed Alkhateeb

Arizona State University

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Tareq Y. Al-Naffouri

Tareq Y. Al-Naffouri

King Abdullah University of Science and Technology

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