Giacomo Oliveri

Computational Mechanics · 2009–2016

A researcher in the Science corpus: 11 papers; trusts 78 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 50 citations into it; #8,866 of 10,001 by trust here, #9,582 by citations
• Aerospace Engineering — 47 citations into it; #1,014 of 6,421 by trust here, #2,026 by citations
• Electrical and Electronic Engineering — 46 citations into it; #3,011 of 16,539 by trust here, #7,520 by citations
• Biomedical Engineering — 32 citations into it; #8,652 of 10,734 by trust here, #10,484 by citations
• Computer Vision and Pattern Recognition — 25 citations into it
• Signal Processing — 24 citations into it
• Artificial Intelligence — 16 citations into it
• Computer Networks and Communications — 13 citations into it

Whom Giacomo Oliveri trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. E.J. Candes
2. Andrea Massa
3. Shihao Ji
4. Michael E. Tipping
5. Massimo Donelli
6. Russel E. Caflisch
7. Paolo Rocca
8. George Eastman House
9. Yanhui Liu
10. Anita C. Faul

Who trusts Giacomo Oliveri overall

1. Paolo Rocca
2. Andrea Massa
3. Benjamin Fuchs
4. Kai Yang
5. Matteo Carlin
6. Yanhui Liu
7. Qing Huo Liu
8. Robert J. Mailloux
9. Luca Manica
10. Zhiqin Zhao

Papers from Giacomo Oliveri's perspective

Ordered by how strongly the researchers Giacomo Oliveri trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Decoding by linear programming
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
8. Atomic Decomposition by Basis Pursuit
9. Matching pursuits with time-frequency dictionaries
10. Gradient-based learning applied to document recognition

Their papers

• Differential Evolution as Applied to Electromagnetics (2011) — 549 citations
• Bayesian Compressive Sampling for Pattern Synthesis With Maximally Sparse Non-Uniform Linear Arrays (2011) — 284 citations
• Hybrid BCS-Deterministic Approach for Sparse Concentric Ring Isophoric Arrays (2015) — 49 citations
• Genetic algorithm (GA)-enhanced almost difference set (ADS)-based approach for array thinning (2011) — 100 citations
• ADS-Based Guidelines for Thinned Planar Arrays (2010) — 156 citations
• Wireless Architectures for Heterogeneous Sensing in Smart Home Applications: Concepts and Real Implementation (2013) — 172 citations
• Microwave Imaging Within the First-Order Born Approximation by Means of the Contrast-Field Bayesian Compressive Sensing (2012) — 152 citations
• Unconventional Phased Array Architectures and Design Methodologies—A Review (2016) — 444 citations
• Compressive Sensing in Electromagnetics - A Review (2015) — 348 citations
• Maximum Efficiency Beam Synthesis of Radiating Planar Arrays for Wireless Power Transmission (2013) — 139 citations
• Linear Array Thinning Exploiting Almost Difference Sets (2009) — 192 citations