Anthony Polloreno
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
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- Quantum and electron transport phenomena
- Mechanical and Optical Resonators
- Quantum many-body systems
- Quantum Mechanics and Applications
Papers in
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- Quantum and electron transport phenomena 3
- Atomic and Subatomic Physics Research 1
- Quantum Mechanics and Applications 1
- Cold Atom Physics and Bose-Einstein Condensates 1
- Laser-Matter Interactions and Applications 1
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- Quantum Information and Cryptography 6
- Quantum Computing Algorithms and Architecture 5
- Co-authors
- Blake Johnson (1 shared paper)Sabrina Hong (1 shared paper)Eyob Alebachew Sete (1 shared paper)Marcus P. da Silva (1 shared paper)Prasahnt Sivarajah (1 shared paper)Alexander T. Papageorge (1 shared paper)Nicolas Didier (1 shared paper)J. J. Bollinger (1 shared paper)
- Journals
- Physical Review Applied (2 papers)Physical Review Research (1 paper)Science Advances (1 paper)Quantum (1 paper)Physical Review A (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Anthony Polloreno
5 papers receiving 359 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 334
- Atomic and Molecular Physics, and Optics 292
- Computational Theory and Mathematics 27
- Condensed Matter Physics 17
- Hardware and Architecture 7
Countries citing papers authored by Anthony Polloreno
This map shows the geographic impact of Anthony Polloreno's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anthony Polloreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Polloreno more than expected).
Fields of papers citing papers by Anthony Polloreno
This network shows the impact of papers produced by Anthony Polloreno. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anthony Polloreno. The network helps show where Anthony Polloreno may publish in the future.
Co-authors
The 17 scholars most cited alongside Anthony Polloreno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 188 | |
| 2 | 2018 | 130 | |
| 3 | 2020 | 50 | |
| 4 | 2022 | 6 | |
| 5 | 2025 | 1 | |
| 6 | 2023 | 1 |
About Anthony Polloreno
Anthony Polloreno is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 6 papers that have together received 376 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (5 papers), Quantum and electron transport phenomena (3 papers), Atomic and Subatomic Physics Research (1 paper), Quantum Mechanics and Applications (1 paper), Cold Atom Physics and Bose-Einstein Condensates (1 paper) and Laser-Matter Interactions and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (334 citations), Atomic and Molecular Physics, and Optics (292 citations), Computational Theory and Mathematics (27 citations), Condensed Matter Physics (17 citations) and Hardware and Architecture (7 citations). Anthony Polloreno has collaborated with scholars based in United States and Canada. Frequent co-authors include Blake Johnson, Sabrina Hong, Eyob Alebachew Sete, Marcus P. da Silva, Prasahnt Sivarajah, Alexander T. Papageorge, Nicolas Didier, J. J. Bollinger, Ana María Rey and David Hayes. Their work appears in journals such as Physical Review Applied, Physical Review Research, Science Advances, Quantum and Physical Review A.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.