Bryan O’Gorman
Impact in
- Artificial Intelligence top 1%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum-Dot Cellular Automata
- Computability, Logic, AI Algorithms
Papers in
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- Quantum Computing Algorithms and Architecture 17
- Quantum Information and Cryptography 6
- Machine Learning and Algorithms 2
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- Constraint Satisfaction and Optimization 3
- Co-authors
- Davide Venturelli (12 shared papers)Eleanor Rieffel (13 shared papers)Rupak Biswas (6 shared papers)Stuart Hadfield (4 shared papers)Zhihui Wang (2 shared papers)Vadim Smelyanskiy (5 shared papers)Ryan Babbush (4 shared papers)Salvatore Mandrà (4 shared papers)
- Journals
- Quantum Information Processing (1 paper)Scientific Reports (1 paper)The Knowledge Engineering Review (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Quantum (1 paper)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Bryan O’Gorman
23 papers receiving 1.1k citations
Bryan O’Gorman's Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 1.0k
- Computational Theory and Mathematics 315
- Atomic and Molecular Physics, and Optics 339
- Hardware and Architecture 46
- Computational Mathematics 2
Countries citing papers authored by Bryan O’Gorman
This map shows the geographic impact of Bryan O’Gorman'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 Bryan O’Gorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan O’Gorman more than expected).
Fields of papers citing papers by Bryan O’Gorman
This network shows the impact of papers produced by Bryan O’Gorman. 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 Bryan O’Gorman. The network helps show where Bryan O’Gorman may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan O’Gorman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz Hit paper breakdown → | 2019 | 431 |
| 2 | Unbiasing fermionic quantum Monte Carlo with a quantum computer Hit paper breakdown → | 2022 | 142 |
| 3 | 2014 | 131 | |
| 4 | 2015 | 123 | |
| 5 | 2019 | 74 | |
| 6 | 2016 | 57 | |
| 7 | 2015 | 54 | |
| 8 | 2021 | 31 | |
| 9 | 2016 | 29 | |
| 10 | 2017 | 24 | |
| 11 | 2022 | 16 | |
| 12 | Quantum Circuit Compilation: An Emerging Application for Automated Reasoning | 2019 | 15 |
| 13 | 2020 | 10 | |
| 14 | 2025 | 9 | |
| 15 | 2021 | 8 | |
| 16 | Explorations of Quantum-Classical Approaches to Scheduling a Mars Lander Activity Problem | 2016 | 4 |
| 17 | Compiling Planning into Quantum Optimization Problems: A Comparative Study | 2015 | 3 |
| 18 | Construction of Energy Functions for Lattice Heteropolymer Models: Efficient Encodings for Constraint Satisfaction Programming and Quantum Annealing | 2012 | 2 |
| 19 | 2016 | 2 | |
| 20 | 2017 | 2 |
About Bryan O’Gorman
Bryan O’Gorman is a scholar working on Artificial Intelligence, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (6 papers), Quantum many-body systems (4 papers), Constraint Satisfaction and Optimization (3 papers), Machine Learning in Materials Science (2 papers), Parallel Computing and Optimization Techniques (2 papers), Machine Learning and Algorithms (2 papers) and Quantum and electron transport phenomena (2 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computational Theory and Mathematics (315 citations), Atomic and Molecular Physics, and Optics (339 citations), Hardware and Architecture (46 citations) and Computational Mathematics (2 citations). Bryan O’Gorman has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Davide Venturelli, Eleanor Rieffel, Rupak Biswas, Stuart Hadfield, Zhihui Wang, Vadim Smelyanskiy, Ryan Babbush, Salvatore Mandrà, Joonho Lee and Sergey Knysh. Their work appears in journals such as Quantum Information Processing, Scientific Reports, The Knowledge Engineering Review, IEEE Transactions on Intelligent Transportation Systems 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.