Dávid Nagy
Impact in
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- Cold Atom Physics and Bose-Einstein Condensates
- Strong Light-Matter Interactions
- Mechanical and Optical Resonators
- Quantum optics and atomic interactions
- Quantum many-body systems
- Quantum and electron transport phenomena
- Spectroscopy and Quantum Chemical Studies
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
Papers in
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- Quantum Information and Cryptography 5
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- Cold Atom Physics and Bose-Einstein Condensates 6
- Mechanical and Optical Resonators 3
- Quantum optics and atomic interactions 2
- Strong Light-Matter Interactions 2
- Co-authors
- P. Domokos (6 shared papers)G. Kónya (2 shared papers)G. Szirmai (2 shared papers)Gergő Orbán (7 shared papers)Alexandre Baksic (1 shared paper)Cristiano Ciuti (1 shared paper)Vladimir Manucharyan (1 shared paper)Karolina Janacsek (3 shared papers)
- Journals
- PLoS Computational Biology (3 papers)Physical review. A (3 papers)Physical Review Letters (2 papers)International Journal of Approximate Reasoning (1 paper)Materials Science and Engineering C (1 paper)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Dávid Nagy
23 papers receiving 428 citations
Peers
Comparison fields: 5 of 58
- Atomic and Molecular Physics, and Optics 346
- Artificial Intelligence 271
- Acoustics and Ultrasonics 5
- Statistical and Nonlinear Physics 46
- Cognitive Neuroscience 51
Countries citing papers authored by Dávid Nagy
This map shows the geographic impact of Dávid Nagy'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 Dávid Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Nagy more than expected).
Fields of papers citing papers by Dávid Nagy
This network shows the impact of papers produced by Dávid Nagy. 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 Dávid Nagy. The network helps show where Dávid Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Dávid Nagy, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 292 | |
| 2 | 2015 | 39 | |
| 3 | 2017 | 24 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 10 | |
| 6 | 2019 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2018 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2019 | 3 | |
| 15 | Episodic memory as a prerequisite for online updates of model structure. | 2016 | 2 |
| 16 | 1980 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Dávid Nagy
Dávid Nagy is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 26 papers that have together received 439 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (6 papers), Quantum Information and Cryptography (5 papers), Mechanical and Optical Resonators (3 papers), Visual perception and processing mechanisms (3 papers), Data Management and Algorithms (2 papers), Quantum optics and atomic interactions (2 papers), Strong Light-Matter Interactions (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (346 citations), Artificial Intelligence (271 citations), Acoustics and Ultrasonics (5 citations), Statistical and Nonlinear Physics (46 citations) and Cognitive Neuroscience (51 citations). Dávid Nagy has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include P. Domokos, G. Kónya, G. Szirmai, Gergő Orbán, Alexandre Baksic, Cristiano Ciuti, Vladimir Manucharyan, Karolina Janacsek, Timo Flesch and Andrew Saxe. Their work appears in journals such as PLoS Computational Biology, Physical review. A, Physical Review Letters, International Journal of Approximate Reasoning and Materials Science and Engineering C.
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.