Carlos Bravo-Prieto
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 8
- Neural Networks and Reservoir Computing 2
- Neural Networks and Applications 1
- Computational Physics and Python Applications 1
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- Polynomial and algebraic computation 1
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- Quantum Mechanics and Applications 3
- Quantum many-body systems 2
Carlos Bravo-Prieto
10 papers receiving 309 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 284
- Computational Theory and Mathematics 66
- Atomic and Molecular Physics, and Optics 99
- Hardware and Architecture 13
- Computational Mathematics 1
Countries citing papers authored by Carlos Bravo-Prieto
This map shows the geographic impact of Carlos Bravo-Prieto'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 Carlos Bravo-Prieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Bravo-Prieto more than expected).
Fields of papers citing papers by Carlos Bravo-Prieto
This network shows the impact of papers produced by Carlos Bravo-Prieto. 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 Carlos Bravo-Prieto. The network helps show where Carlos Bravo-Prieto may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Carlos Bravo-Prieto, 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 | 2024 | 28 | |
| 2 | 2023 | 84 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 72 | |
| 7 | 2021 | 27 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 44 | |
| 10 | Variational Quantum Linear Solver: A Hybrid Algorithm for Linear Systems | 2019 | 16 |
About Carlos Bravo-Prieto
Carlos Bravo-Prieto is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Hardware and Architecture, Computational Theory and Mathematics and Infectious Diseases, having authored 10 papers that have together received 318 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (8 papers), Quantum Mechanics and Applications (3 papers), Quantum many-body systems (2 papers), Neural Networks and Reservoir Computing (2 papers), Polynomial and algebraic computation (1 paper), Neural Networks and Applications (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Artificial Intelligence (284 citations), Computational Theory and Mathematics (66 citations), Atomic and Molecular Physics, and Optics (99 citations), Hardware and Architecture (13 citations) and Computational Mathematics (1 citation). Carlos Bravo-Prieto has collaborated with scholars based in Spain, Singapore and United Arab Emirates. Frequent co-authors include José I. Latorre, Diego García-Martín, Yiğit Subaşı, Łukasz Cincio, Ryan LaRose, M. Cerezo, Patrick J. Coles, Stefano Carrazza, Artur García-Sáez and Elies Gil-Fuster. Their work appears in journals such as Quantum, Physical review. A, Quantum Science and Technology, Journal of Physics A Mathematical and Theoretical and Nature Communications.
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.