H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 71 Citations 13,277 319 World Ranking 749 National Ranking 10

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Algorithm
  • Quantum mechanics

Her scientific interests lie mostly in Algorithm, Mathematical optimization, Inverse scattering problem, Inverse problem and Microwave imaging. Her Algorithm study combines topics in areas such as Genetic algorithm, Difference set and Antenna. Her work in Mathematical optimization addresses issues such as Matching, which are connected to fields such as Cluster analysis, Continuous phase modulation, Numerical analysis, Sparse matrix and Binary tree.

The concepts of her Inverse scattering problem study are interwoven with issues in Computational electromagnetics, Dielectric and Nonlinear system. Her Inverse problem research incorporates themes from Ground-penetrating radar, Stochastic process, Inverse, Support vector machine and Electronic engineering. Her Microwave imaging study integrates concerns from other disciplines, such as Born approximation, Nondestructive testing, Integral equation and Iterative reconstruction.

Her most cited work include:

  • Differential Evolution as Applied to Electromagnetics (371 citations)
  • Evolutionary optimization as applied to inverse scattering problems (318 citations)
  • Compressive Sensing in Electromagnetics - A Review (229 citations)

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

The scientist’s investigation covers issues in Electronic engineering, Algorithm, Inverse scattering problem, Microwave imaging and Mathematical optimization. Andrea Massa has researched Electronic engineering in several fields, including Wireless, Particle swarm optimization and Electrical engineering, Antenna. Her studies in Algorithm integrate themes in fields like Function, Genetic algorithm and Nondestructive testing.

To a larger extent, Andrea Massa studies Inverse problem with the aim of understanding Inverse scattering problem. Her Microwave imaging research incorporates elements of Scattering, Iterative reconstruction, Dielectric and Robustness. Her Compressed sensing research integrates issues from Bayesian probability and Relevance vector machine.

She most often published in these fields:

  • Electronic engineering (33.62%)
  • Algorithm (32.63%)
  • Inverse scattering problem (18.73%)

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

  • Algorithm (32.63%)
  • Electronic engineering (33.62%)
  • Compressed sensing (9.68%)

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

Andrea Massa focuses on Algorithm, Electronic engineering, Compressed sensing, Antenna and Inverse scattering problem. Her Algorithm research includes elements of Function, Solver, Inverse problem and Support vector machine. Her Electronic engineering study deals with Aperture intersecting with Radiation.

Her Compressed sensing research focuses on subjects like Microwave imaging, which are linked to Relevance vector machine and Iterative reconstruction. Her work carried out in the field of Antenna brings together such families of science as Noise measurement and Modulation. Her studies deal with areas such as Ground-penetrating radar, Computer engineering, Artificial intelligence and Nonlinear system as well as Inverse scattering problem.

Between 2016 and 2021, her most popular works were:

  • Multifrequency Particle Swarm Optimization for Enhanced Multiresolution GPR Microwave Imaging (66 citations)
  • Compressive Sensing as Applied to Inverse Problems for Imaging: Theory, Applications, Current Trends, and Open Challenges. (54 citations)
  • Synthesis of Time-Modulated Frequency Diverse Arrays for Short-Range Multi-Focusing (41 citations)

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

  • Artificial intelligence
  • Quantum mechanics
  • Algorithm

Andrea Massa mainly investigates Algorithm, Electronic engineering, Compressed sensing, Antenna and Inverse problem. The study incorporates disciplines such as Basis, Inverse scattering problem, Scattering, Microwave imaging and Solver in addition to Algorithm. Her research in the fields of Harmonic analysis overlaps with other disciplines such as Diversity scheme.

Her research investigates the link between Compressed sensing and topics such as Bayesian probability that cross with problems in Planar array. Andrea Massa works mostly in the field of Antenna, limiting it down to topics relating to Computation and, in certain cases, Matching. Andrea Massa combines subjects such as Nondestructive testing, Adaptive learning, Global optimization and Feature vector with her study of Inverse problem.

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

Evolutionary optimization as applied to inverse scattering problems

Paolo Rocca;Manuel Benedetti;Massimo Donelli;Davide Franceschini.
Inverse Problems (2009)

483 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

Handling Sideband Radiations in Time-Modulated Arrays Through Particle Swarm Optimization

L. Poli;P. Rocca;L. Manica;A. Massa.
IEEE Transactions on Antennas and Propagation (2010)

321 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

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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