H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 115 Citations 53,057 757 World Ranking 67 National Ranking 43
Electronics and Electrical Engineering D-index 132 Citations 61,643 701 World Ranking 7 National Ranking 3

Research.com Recognitions

Awards & Achievements

2020 - Member of Academia Europaea

2020 - Member of the European Academy of Sciences

2019 - Fellow, National Academy of Inventors

2015 - IEEE Fourier Award for Signal Processing “For contributions to the theory and practice of statistical signal processing and its applications to wireless communications.”

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Computer network

His scientific interests lie mostly in Communication channel, Algorithm, Electronic engineering, Fading and Estimator. Georgios B. Giannakis has researched Communication channel in several fields, including Transmitter, Control theory and Modulation. His Algorithm research is multidisciplinary, incorporating perspectives in Code division multiple access, Statistics, Bit error rate, Artificial intelligence and Signal processing.

His Electronic engineering study combines topics in areas such as Wireless, Pulse-position modulation, Multipath propagation and Intersymbol interference. His Fading study incorporates themes from Upper and lower bounds, Decoding methods, Block code and Antenna diversity. The various areas that Georgios B. Giannakis examines in his Estimator study include Estimation theory, Wireless sensor network, Mathematical optimization, Applied mathematics and Kalman filter.

His most cited work include:

  • Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks (1706 citations)
  • Wireless multicarrier communications (1268 citations)
  • A simple and general parameterization quantifying performance in fading channels (1185 citations)

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

His primary areas of investigation include Algorithm, Mathematical optimization, Communication channel, Electronic engineering and Fading. His work carried out in the field of Algorithm brings together such families of science as Wireless sensor network and Estimator. His Mathematical optimization study integrates concerns from other disciplines, such as Grid, Resource allocation, Smart grid and Convex optimization.

His studies deal with areas such as Wireless and Control theory as well as Communication channel. His research integrates issues of Transmitter, Multipath propagation and Interference in his study of Electronic engineering. His work is dedicated to discovering how Fading, Computer network are connected with Distributed computing and Throughput and other disciplines.

He most often published in these fields:

  • Algorithm (27.12%)
  • Mathematical optimization (21.20%)
  • Communication channel (19.23%)

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

  • Algorithm (27.12%)
  • Artificial intelligence (9.94%)
  • Mathematical optimization (21.20%)

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

Algorithm, Artificial intelligence, Mathematical optimization, Theoretical computer science and Scalability are his primary areas of study. He studies Computational complexity theory which is a part of Algorithm. Georgios B. Giannakis combines subjects such as Machine learning and Pattern recognition with his study of Artificial intelligence.

Georgios B. Giannakis has researched Mathematical optimization in several fields, including Resource allocation, Dual, Robustness and Convex optimization. His research in Theoretical computer science intersects with topics in Tensor, Network topology and Graph. His Scalability course of study focuses on Reinforcement learning and Computer network and Cellular network.

Between 2016 and 2021, his most popular works were:

  • Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow (170 citations)
  • Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities (143 citations)
  • Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information (124 citations)

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

  • Statistics
  • Artificial intelligence
  • Computer network

The scientist’s investigation covers issues in Algorithm, Mathematical optimization, Theoretical computer science, Scalability and Artificial intelligence. His study looks at the relationship between Algorithm and fields such as Estimator, as well as how they intersect with chemical problems. The Mathematical optimization study combines topics in areas such as Stochastic approximation, Resource allocation, Energy management, Convex optimization and Stationary point.

His Theoretical computer science study combines topics in areas such as Stochastic gradient descent, Tensor, Network topology, Graph and Principal component analysis. His Scalability research incorporates themes from Distributed computing, Electric power system, Computer network, Random walk and Reinforcement learning. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Pattern recognition.

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

Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks

S. Gezici;Zhi Tian;G.B. Giannakis;H. Kobayashi.
IEEE Signal Processing Magazine (2005)

2432 Citations

Wireless multicarrier communications

Zhendao Wang;G.B. Giannakis.
IEEE Signal Processing Magazine (2000)

1766 Citations

Ultra-wideband communications: an idea whose time has come

Liuqing Yang;G.B. Giannakis.
IEEE Signal Processing Magazine (2004)

1526 Citations

A simple and general parameterization quantifying performance in fading channels

Zhengdao Wang;G.B. Giannakis.
IEEE Transactions on Communications (2003)

1299 Citations

Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links

Qingwen Liu;Shengli Zhou;G.B. Giannakis.
IEEE Transactions on Wireless Communications (2004)

1136 Citations

Cyclic prefixing or zero padding for wireless multicarrier transmissions

B. Muquet;Zhengdao Wang;G.B. Giannakis;M. de Courville.
IEEE Transactions on Communications (2002)

1060 Citations

Optimal designs for space-time linear precoders and decoders

A. Scaglione;P. Stoica;S. Barbarossa;G.B. Giannakis.
IEEE Transactions on Signal Processing (2002)

1030 Citations

Statistical tests for presence of cyclostationarity

A.V. Dandawate;G.B. Giannakis.
IEEE Transactions on Signal Processing (1994)

939 Citations

Symbol error probabilities for general Cooperative links

A. Ribeiro;Xiaodong Cai;G.B. Giannakis.
IEEE Transactions on Wireless Communications (2005)

916 Citations

Redundant filterbank precoders and equalizers. I. Unification and optimal designs

A. Scaglione;G.B. Giannakis;S. Barbarossa.
IEEE Transactions on Signal Processing (1999)

907 Citations

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Best Scientists Citing Georgios B. Giannakis

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Robert W. Heath

Robert W. Heath

North Carolina State University

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Chintha Tellambura

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Ali H. Sayed

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P.P. Vaidyanathan

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Zhi Ding

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Liuqing Yang

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