Alexandra Boltasseva
Electronic, Optical and Magnetic Materials · 2008–2020
A researcher in the Science corpus: 26 papers; trusts 47 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Electronic, Optical and Magnetic Materials — 529 citations into it; #78 of 2,886 by trust here, #254 by citations
- Biomedical Engineering — 460 citations into it; #350 of 10,734 by trust here, #175 by citations
- Electrical and Electronic Engineering — 279 citations into it
- Atomic and Molecular Physics, and Optics — 271 citations into it; #4,275 of 7,135 by trust here, #794 by citations
- Materials Chemistry — 175 citations into it
- Aerospace Engineering — 162 citations into it; #1,485 of 6,421 by trust here, #451 by citations
- Civil and Structural Engineering — 57 citations into it
- Artificial Intelligence — 33 citations into it
Whom Alexandra Boltasseva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Harry A. Atwater
- John B. Pendry
- Gururaj V. Naik
- S. A. Maier
- Vladimir M. Shalaev
- Volker J. Sorger
- David Schurig
- Wenshan Cai
- Z. Jacob
- Jacob B. Khurgin
Who trusts Alexandra Boltasseva overall
- Jacob B. Khurgin
- Shulin Sun
- Gururaj V. Naik
- Alexander V. Kildishev
- Jongbum Kim
- A. Díaz-Rubio
- Vladimir M. Shalaev
- E. Arbabi
- U. Guler
- Carl Pfeiffer
Papers from Alexandra Boltasseva's perspective
Ordered by how strongly the researchers Alexandra Boltasseva trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Going deeper with convolutions
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Deep Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Low-Loss Plasmonic Metamaterials (2011) — 1,391 citations
- Nanoparticle plasmonics: going practical with transition metal nitrides (2015) — 365 citations
- Searching for better plasmonic materials (2009) — 2,003 citations
- Refractory Plasmonics with Titanium Nitride: Broadband Metamaterial Absorber (2014) — 705 citations
- Broadband Light Bending with Plasmonic Nanoantennas (2012) — 1,468 citations
- Alternative Plasmonic Materials: Beyond Gold and Silver (2013) — 2,134 citations
- Planar Photonics with Metasurfaces (2013) — 2,825 citations
- Engineering photonic density of states using metamaterials (2010) — 396 citations
- Near-zero-index materials for photonics (2019) — 350 citations
- Reflecting upon the losses in plasmonics and metamaterials (2012) — 257 citations
- Role of epsilon-near-zero substrates in the optical response of plasmonic antennas (2016) — 148 citations
- Roadmap on plasmonics (2018) — 305 citations
- Highly Broadband Absorber Using Plasmonic Titanium Carbide (MXene) (2018) — 356 citations
- Plasmonic nanoantenna arrays for the visible (2008) — 147 citations
- Enhanced localized fluorescence in plasmonic nanoantennae (2008) — 198 citations
- Deep learning for the design of photonic structures (2020) — 960 citations
- Roadmap on metasurfaces (2019) — 238 citations
- Material platforms for optical metasurfaces (2018) — 158 citations
- Large‐Area Ultrabroadband Absorber for Solar Thermophotovoltaics Based on 3D Titanium Nitride Nanopillars (2017) — 135 citations
- Temperature-Dependent Optical Properties of Plasmonic Titanium Nitride Thin Films (2017) — 178 citations