Bálint Koczor
- Artificial Intelligence top 10%
- Quantum Information and Cryptography 13
- Quantum Computing Algorithms and Architecture 9
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- Quantum Mechanics and Applications 6
- Atomic and Subatomic Physics Research 2
- Quantum and electron transport phenomena 2
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- Computability, Logic, AI Algorithms 2
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- Advanced NMR Techniques and Applications 3
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- NMR spectroscopy and applications 2
- Co-authors
- Simon C. BenjaminRobert ZeierSteffen J. GlaserZhenyu CaiH. Chau NguyenJános RohonczyJohn J. L. MortonRichard J. Meister
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Physical Review Letters (1 paper)Proceedings of the IEEE (1 paper)New Journal of Physics (1 paper)
- Partner nations
- United KingdomGermanyHungary
In The Last Decade
Bálint Koczor
21 papers receiving 196 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 157
- Atomic and Molecular Physics, and Optics 100
- Computational Theory and Mathematics 25
- Biophysics 6
- Spectroscopy 14
Countries citing papers authored by Bálint Koczor
This map shows the geographic impact of Bálint Koczor'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 Bálint Koczor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bálint Koczor more than expected).
Fields of papers citing papers by Bálint Koczor
This network shows the impact of papers produced by Bálint Koczor. 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 Bálint Koczor. The network helps show where Bálint Koczor may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Bálint Koczor, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 6 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 8 | |
| 7 | 2024 | 24 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 20 | |
| 13 | 2022 | 30 | |
| 14 | 2022 | 27 | |
| 15 | 2020 | 10 | |
| 16 | 2020 | 22 | |
| 17 | On phase-space representations of spin systems and their relations to infinite-dimensional quantum states | 2019 | 5 |
| 18 | 2016 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2015 | 4 |
About Bálint Koczor
Bálint Koczor is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Spectroscopy, having authored 21 papers that have together received 200 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (9 papers), Quantum Mechanics and Applications (6 papers), Advanced NMR Techniques and Applications (3 papers), Atomic and Subatomic Physics Research (2 papers), Quantum and electron transport phenomena (2 papers), NMR spectroscopy and applications (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (157 citations), Atomic and Molecular Physics, and Optics (100 citations) and Computational Theory and Mathematics (25 citations). Bálint Koczor has collaborated with scholars based in United Kingdom, Germany and Hungary. Frequent co-authors include Simon C. Benjamin, Robert Zeier, Steffen J. Glaser, Zhenyu Cai, H. Chau Nguyen, János Rohonczy, John J. L. Morton, Richard J. Meister, Mohsen Razavi and Soon Xin Ng. Their work appears in journals such as Physical Review Letters, Proceedings of the IEEE and New Journal of Physics.
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.