D-Index & Metrics Best Publications
David Gesbert

David Gesbert

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
Computer Science D-index 53 Citations 17,828 226 World Ranking 2394 National Ranking 43
Electronics and Electrical Engineering D-index 64 Citations 25,125 307 World Ranking 433 National Ranking 2

Research.com Recognitions

Awards & Achievements

2011 - IEEE Fellow For contributions to multi-antenna and multi-user communication theory and their applications

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Telecommunications
  • Algorithm

His scientific interests lie mostly in Communication channel, MIMO, Computer network, Transmitter and Wireless. David Gesbert works on Communication channel which deals in particular with Fading. The study incorporates disciplines such as Multiplexing and Beamforming in addition to MIMO.

His Scheduling, Base station and Telecommunications link study, which is part of a larger body of work in Computer network, is frequently linked to Broadband networks, bridging the gap between disciplines. His Transmitter research is multidisciplinary, incorporating elements of Channel state information, Channel capacity and Topology. His research integrates issues of Time division multiple access, Communications system, Orthogonal frequency-division multiplexing and Link adaptation in his study of Wireless.

His most cited work include:

  • From theory to practice: an overview of MIMO space-time coded wireless systems (2116 citations)
  • Multi-Cell MIMO Cooperative Networks: A New Look at Interference (1614 citations)
  • An overview of limited feedback in wireless communication systems (1353 citations)

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

David Gesbert spends much of his time researching Communication channel, MIMO, Channel state information, Computer network and Precoding. The various areas that David Gesbert examines in his Communication channel study include Wireless, Electronic engineering, Beamforming, Transmitter and Topology. His studies deal with areas such as Algorithm, Telecommunications link and Control theory as well as MIMO.

His Channel state information research includes elements of Quantization, Interference alignment, Mathematical optimization, Multiplexing and Backhaul. Throughput is closely connected to Wireless network in his research, which is encompassed under the umbrella topic of Computer network. His Base station study combines topics from a wide range of disciplines, such as Cellular network and Spectral efficiency.

He most often published in these fields:

  • Communication channel (42.19%)
  • MIMO (36.83%)
  • Channel state information (29.69%)

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

  • Communication channel (42.19%)
  • Base station (16.52%)
  • Channel state information (29.69%)

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

David Gesbert mostly deals with Communication channel, Base station, Channel state information, MIMO and Real-time computing. His Communication channel research includes themes of Transmitter, Transmission and Distributed computing. His Base station study is concerned with Computer network in general.

His work investigates the relationship between Computer network and topics such as Fading that intersect with problems in Network topology. The study incorporates disciplines such as Backhaul, Mathematical optimization and Topology in addition to Channel state information. He combines subjects such as Algorithm, Overhead, Telecommunications link and Antenna with his study of MIMO.

Between 2018 and 2021, his most popular works were:

  • Machine Learning in the Air (74 citations)
  • Learning to Communicate in UAV-Aided Wireless Networks: Map-Based Approaches (41 citations)
  • Efficient Local Map Search Algorithms for the Placement of Flying Relays (18 citations)

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

  • Computer network
  • Telecommunications
  • Artificial intelligence

David Gesbert mainly focuses on Base station, Communication channel, Real-time computing, MIMO and Wireless network. His Base station study also includes fields such as

  • Relay that intertwine with fields like Coordinate system,
  • Bandwidth, which have a strong connection to Computer engineering, Multipath propagation and Beamforming. His research in Communication channel is mostly concerned with Channel state information.

His Channel state information study incorporates themes from Mathematical optimization and Precoding. His MIMO research is multidisciplinary, incorporating perspectives in Algorithm and Telecommunications link. His Wireless network study is related to the wider topic of Wireless.

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

From theory to practice: an overview of MIMO space-time coded wireless systems

D. Gesbert;M. Shafi;Da-shan Shiu;P.J. Smith.
IEEE Journal on Selected Areas in Communications (2003)

3428 Citations

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

D Gesbert;S Hanly;H Huang;S Shamai Shitz.
IEEE Journal on Selected Areas in Communications (2010)

1863 Citations

An overview of limited feedback in wireless communication systems

D.J. Love;R.W. Heath;V.K.N. Lau;D. Gesbert.
IEEE Journal on Selected Areas in Communications (2008)

1526 Citations

Shifting the MIMO Paradigm

D. Gesbert;M. Kountouris;R.W. Heath;Chan-Byoung Chae.
IEEE Signal Processing Magazine (2007)

1333 Citations

On the capacity of OFDM-based spatial multiplexing systems

H. Bolcskei;D. Gesbert;A.J. Paulraj.
IEEE Transactions on Communications (2002)

1291 Citations

A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems

Haifan Yin;D. Gesbert;M. Filippou;Yingzhuang Liu.
IEEE Journal on Selected Areas in Communications (2013)

1121 Citations

Outdoor MIMO wireless channels: models and performance prediction

D. Gesbert;H. Bolcskei;D.A. Gore;A.J. Paulraj.
IEEE Transactions on Communications (2002)

1099 Citations

Adaptive modulation and MIMO coding for broadband wireless data networks

S. Catreux;V. Erceg;D. Gesbert;R.W. Heath.
IEEE Communications Magazine (2002)

661 Citations

How much feedback is multi-user diversity really worth?

D. Gesbert;M.-S. Alouini.
international conference on communications (2004)

630 Citations

Complex-Valued Matrix Differentiation: Techniques and Key Results

A. Hjorungnes;D. Gesbert.
IEEE Transactions on Signal Processing (2007)

480 Citations

Best Scientists Citing David Gesbert

Robert W. Heath

Robert W. Heath

North Carolina State University

Publications: 224

Merouane Debbah

Merouane Debbah

CentraleSupélec

Publications: 119

Bruno Clerckx

Bruno Clerckx

Imperial College London

Publications: 116

Shi Jin

Shi Jin

Southeast University

Publications: 114

Emil Bjornson

Emil Bjornson

Royal Institute of Technology

Publications: 104

Rui Zhang

Rui Zhang

National University of Singapore

Publications: 98

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 90

Mohamed-Slim Alouini

Mohamed-Slim Alouini

King Abdullah University of Science and Technology

Publications: 80

Bjorn Ottersten

Bjorn Ottersten

University of Luxembourg

Publications: 80

Markku Juntti

Markku Juntti

University of Oulu

Publications: 77

Xiqi Gao

Xiqi Gao

Southeast University

Publications: 77

Erik G. Larsson

Erik G. Larsson

Linköping University

Publications: 76

David J. Love

David J. Love

Purdue University West Lafayette

Publications: 75

Wei Yu

Wei Yu

University of Toronto

Publications: 70

Chenyang Yang

Chenyang Yang

China University of Mining and Technology

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Arogyaswami Paulraj

Arogyaswami Paulraj

Stanford University

Publications: 65

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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