J. Eli Bourassa
Impact in
- Artificial Intelligence top 10%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
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- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Quantum optics and atomic interactions
- Cold Atom Physics and Bose-Einstein Condensates
Papers in ⓘ
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- Quantum Computing Algorithms and Architecture 7
- Quantum Information and Cryptography 7
- Neural Networks and Reservoir Computing 2
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- Quantum Mechanics and Applications 5
- Quantum and electron transport phenomena 1
- Co-authors
- Krishna Kumar Sabapathy (2 shared papers)Nicolas C. Menicucci (2 shared papers)Ilan Tzitrin (2 shared papers)Rafael N. Alexander (4 shared papers)Hoi‐Kwong Lo (3 shared papers)Ish Dhand (1 shared paper)Jahan Claes (1 shared paper)Shruti Puri (1 shared paper)
In The Last Decade
J. Eli Bourassa
7 papers receiving 176 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 172
- Atomic and Molecular Physics, and Optics 115
- Instrumentation 5
- Acoustics and Ultrasonics 1
- Structural Biology 1
Countries citing papers authored by J. Eli Bourassa
This map shows the geographic impact of J. Eli Bourassa'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 J. Eli Bourassa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Eli Bourassa more than expected).
Fields of papers citing papers by J. Eli Bourassa
This network shows the impact of papers produced by J. Eli Bourassa. 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 J. Eli Bourassa. The network helps show where J. Eli Bourassa may publish in the future.
Co-authors
The 19 scholars most cited alongside J. Eli Bourassa, 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 | 2020 | 95 | |
| 2 | 2021 | 45 | |
| 3 | 2023 | 12 | |
| 4 | 2024 | 9 | |
| 5 | 2022 | 9 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 4 | |
| 8 | 2025 | 0 | |
| 9 | 2026 | 0 |
About J. Eli Bourassa
J. Eli Bourassa is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Infectious Diseases, Organic Chemistry and Surgery, having authored 9 papers that have together received 182 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (7 papers), Quantum Mechanics and Applications (5 papers), Neural Networks and Reservoir Computing (2 papers) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Artificial Intelligence (172 citations), Atomic and Molecular Physics, and Optics (115 citations), Instrumentation (5 citations), Acoustics and Ultrasonics (1 citation) and Structural Biology (1 citation). J. Eli Bourassa has collaborated with scholars based in Canada, Australia and Japan. Frequent co-authors include Krishna Kumar Sabapathy, Nicolas C. Menicucci, Ilan Tzitrin, Rafael N. Alexander, Hoi‐Kwong Lo, Ish Dhand, Jahan Claes, Shruti Puri, Li Qian and Charles Ci Wen Lim. Their work appears in journals such as Physical review. A, PRX Quantum, npj Quantum Information, Journal of the Optical Society of America B 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.