Dripto M. Debroy
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
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- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
Papers in
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- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 8
- Neural Networks and Reservoir Computing 1
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- Quantum and electron transport phenomena 7
- Electromagnetic Scattering and Analysis 1
- Co-authors
- Kenneth R. Brown (7 shared papers)Muyuan Li (3 shared papers)Michael Newman (3 shared papers)C. Monroe (2 shared papers)Marko Cetina (2 shared papers)Daiwei Zhu (2 shared papers)Crystal Noel (2 shared papers)Andrew Risinger (2 shared papers)
- Journals
- Physical review. A (1 paper)Physical Review Applied (1 paper)Quantum (1 paper)Nature (1 paper)Physical Review Research (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Dripto M. Debroy
10 papers receiving 286 citations
Dripto M. Debroy's Hit Papers
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 269
- Atomic and Molecular Physics, and Optics 170
- Computational Theory and Mathematics 49
- Computational Mathematics 1
- Hardware and Architecture 7
Countries citing papers authored by Dripto M. Debroy
This map shows the geographic impact of Dripto M. Debroy'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 Dripto M. Debroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dripto M. Debroy more than expected).
Fields of papers citing papers by Dripto M. Debroy
This network shows the impact of papers produced by Dripto M. Debroy. 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 Dripto M. Debroy. The network helps show where Dripto M. Debroy may publish in the future.
Co-authors
The 25 scholars most cited alongside Dripto M. Debroy, 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 | Fault-tolerant control of an error-corrected qubit Hit paper breakdown → | 2021 | 227 |
| 2 | 2022 | 25 | |
| 3 | 2018 | 20 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | Fault-Tolerant Operation of a Quantum Error-Correction Code | 2021 | 1 |
| 10 | 2025 | 1 |
About Dripto M. Debroy
Dripto M. Debroy is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Infectious Diseases, having authored 10 papers that have together received 301 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (8 papers), Quantum and electron transport phenomena (7 papers), Model Reduction and Neural Networks (1 paper), Electromagnetic Simulation and Numerical Methods (1 paper), Neural Networks and Reservoir Computing (1 paper) and Electromagnetic Scattering and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (269 citations), Atomic and Molecular Physics, and Optics (170 citations), Computational Theory and Mathematics (49 citations), Computational Mathematics (1 citation) and Hardware and Architecture (7 citations). Dripto M. Debroy has collaborated with scholars based in United States and Canada. Frequent co-authors include Kenneth R. Brown, Muyuan Li, Michael Newman, C. Monroe, Marko Cetina, Daiwei Zhu, Crystal Noel, Andrew Risinger, Debopriyo Biswas and Laird Egan. Their work appears in journals such as Physical review. A, Physical Review Applied, Quantum, Nature and Physical Review Research.
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.