Anthony Polloreno
Impact in
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- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
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- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Mechanical and Optical Resonators
Papers in
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- Quantum and electron transport phenomena 2
- Atomic and Subatomic Physics Research 1
- Cold Atom Physics and Bose-Einstein Condensates 1
- Laser-Matter Interactions and Applications 1
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- Quantum Information and Cryptography 4
- Quantum Computing Algorithms and Architecture 3
- Co-authors
- Sabrina Hong (1 shared paper)Blake Johnson (1 shared paper)Marcus P. da Silva (1 shared paper)Nicolas Didier (1 shared paper)Eyob A. Sete (1 shared paper)Alexander Papageorge (1 shared paper)J. J. Bollinger (1 shared paper)Ana María Rey (1 shared paper)
- Journals
- Physical Review Applied (1 paper)Physical review. A (1 paper)Physical Review Research (1 paper)Quantum (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Anthony Polloreno
3 papers receiving 48 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 51
- Atomic and Molecular Physics, and Optics 39
- Hardware and Architecture 2
- Computational Theory and Mathematics 3
- Condensed Matter Physics 1
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 16 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
About Anthony Polloreno
Anthony Polloreno is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 52 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Quantum and electron transport phenomena (2 papers), Atomic and Subatomic Physics Research (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 (51 citations), Atomic and Molecular Physics, and Optics (39 citations), Hardware and Architecture (2 citations), Computational Theory and Mathematics (3 citations) and Condensed Matter Physics (1 citation). Anthony Polloreno has collaborated with scholars based in United States and Canada. Frequent co-authors include Sabrina Hong, Blake Johnson, Marcus P. da Silva, Nicolas Didier, Eyob A. Sete, Alexander Papageorge, J. J. Bollinger, Ana María Rey, Arnaud Carignan-Dugas and James K. Thompson. Their work appears in journals such as Physical Review Applied, Physical review. A, Physical Review Research and Quantum.
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.