H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 40 Citations 5,999 140 World Ranking 4405 National Ranking 105

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Electrical engineering

His main research concerns Compressed sensing, Algorithm, Mathematical optimization, Inverse scattering problem and Inverse problem. The various areas that Giacomo Oliveri examines in his Compressed sensing study include Probabilistic logic, Microwave imaging and Relevance vector machine. His Algorithm research includes elements of Linear arrays, Signal-to-noise ratio and Antenna array.

His research in Inverse scattering problem intersects with topics in Optimization problem, Antenna and Differential equation. He has included themes like Evolutionary computation, Inverse and Differential evolution in his Inverse problem study. His Electronic engineering study incorporates themes from Wireless and Computer architecture.

His most cited work include:

  • Differential Evolution as Applied to Electromagnetics (371 citations)
  • Compressive Sensing in Electromagnetics - A Review (229 citations)
  • Bayesian Compressive Sampling for Pattern Synthesis With Maximally Sparse Non-Uniform Linear Arrays (220 citations)

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

His scientific interests lie mostly in Electronic engineering, Algorithm, Compressed sensing, Inverse scattering problem and Microwave imaging. His Electronic engineering study integrates concerns from other disciplines, such as Wireless, Particle swarm optimization, Antenna and Metamaterial. His study in the fields of Bayesian compressive sensing under the domain of Algorithm overlaps with other disciplines such as Planar.

The study incorporates disciplines such as Pattern matching, Bayesian probability and Relevance vector machine in addition to Compressed sensing. His Inverse scattering problem study is related to the wider topic of Inverse problem. His Inverse problem research is multidisciplinary, relying on both Support vector machine, Robustness and Nonlinear system.

He most often published in these fields:

  • Electronic engineering (36.48%)
  • Algorithm (31.89%)
  • Compressed sensing (20.66%)

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

  • Algorithm (31.89%)
  • Electronic engineering (36.48%)
  • Compressed sensing (20.66%)

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

Giacomo Oliveri mostly deals with Algorithm, Electronic engineering, Compressed sensing, Antenna and Design methods. The concepts of his Algorithm study are interwoven with issues in Function, Linear arrays, Order and Inverse problem. His Electronic engineering research incorporates elements of Cloaking, Antenna array, Satellite antennas and Radiation pattern.

His Compressed sensing study combines topics in areas such as Ideal, Microwave imaging, Cluster analysis, Matching and Computation. His research integrates issues of Inverse scattering problem, Tomographic reconstruction, Contrast and Bayesian compressive sensing in his study of Microwave imaging. Giacomo Oliveri studied Antenna and Transformation that intersect with Metamaterial, Transformation optics and Impedance matching.

Between 2018 and 2021, his most popular works were:

  • Instantaneous brain stroke classification and localization from real scattering data (12 citations)
  • A New Meta-Paradigm for the Synthesis of Antenna Arrays for Future Wireless Communications (11 citations)
  • Compressive Sensing-Based Born Iterative Method for Tomographic Imaging (10 citations)

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

  • Artificial intelligence
  • Electrical engineering
  • Algorithm

Giacomo Oliveri mainly investigates Inverse problem, Algorithm, Electrical impedance tomography, Antenna and Inverse scattering problem. His Inverse problem research incorporates themes from Machine learning, Feature vector and Medical imaging. His research in Algorithm is mostly focused on Compressed sensing.

In his study, which falls under the umbrella issue of Compressed sensing, Nonlinear system is strongly linked to Iterative method. Giacomo Oliveri has researched Antenna in several fields, including Wireless, Function, Computer engineering and Measure. His Inverse scattering problem research is multidisciplinary, incorporating elements of Microwave imaging, Bayesian compressive sensing 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.

Top Publications

Differential Evolution as Applied to Electromagnetics

P Rocca;G Oliveri;A Massa.
IEEE Antennas and Propagation Magazine (2011)

573 Citations

Compressive Sensing in Electromagnetics - A Review

Andrea Massa;Paolo Rocca;Giacomo Oliveri.
IEEE Antennas and Propagation Magazine (2015)

344 Citations

Bayesian Compressive Sampling for Pattern Synthesis With Maximally Sparse Non-Uniform Linear Arrays

G Oliveri;A Massa.
IEEE Transactions on Antennas and Propagation (2011)

333 Citations

Directions-of-Arrival Estimation Through Bayesian Compressive Sensing Strategies

Matteo Carlin;Paolo Rocca;Giacomo Oliveri;Federico Viani.
IEEE Transactions on Antennas and Propagation (2013)

278 Citations

Complex-Weight Sparse Linear Array Synthesis by Bayesian Compressive Sampling

G. Oliveri;M. Carlin;A. Massa.
IEEE Transactions on Antennas and Propagation (2012)

268 Citations

A Bayesian-Compressive-Sampling-Based Inversion for Imaging Sparse Scatterers

Giacomo Oliveri;Paolo Rocca;Andrea Massa.
IEEE Transactions on Geoscience and Remote Sensing (2011)

245 Citations

Unconventional Phased Array Architectures and Design Methodologies—A Review

Paolo Rocca;Giacomo Oliveri;Robert J. Mailloux;Andrea Massa.
Proceedings of the IEEE (2016)

241 Citations

Array Designs for Long-Distance Wireless Power Transmission: State-of-the-Art and Innovative Solutions

A. Massa;G. Oliveri;F. Viani;P. Rocca.
Proceedings of the IEEE (2013)

239 Citations

Harmonic Beamforming in Time-Modulated Linear Arrays

L. Poli;P. Rocca;G. Oliveri;A. Massa.
IEEE Transactions on Antennas and Propagation (2011)

238 Citations

Linear Array Thinning Exploiting Almost Difference Sets

G. Oliveri;M. Donelli;A. Massa.
IEEE Transactions on Antennas and Propagation (2009)

205 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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