Pratik Nandy
Impact in
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- Quantum chaos and dynamical systems
- Noncommutative and Quantum Gravity Theories
- Computational Mathematics top 10%
Papers in
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- Quantum many-body systems 12
- Cold Atom Physics and Bose-Einstein Condensates 4
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- Quantum chaos and dynamical systems 6
- Noncommutative and Quantum Gravity Theories 3
- Co-authors
- Aranya Bhattacharya (4 shared papers)Arpan Bhattacharyya (3 shared papers)Ayan Patra (2 shared papers)Xiangyu Cao (1 shared paper)Aninda Sinha (1 shared paper)Hugo A. Camargo (3 shared papers)Qiang Wen (1 shared paper)Anatoly Dymarsky (1 shared paper)
In The Last Decade
Pratik Nandy
17 papers receiving 568 citations
Pratik Nandy's Hit Papers
Peers
Comparison fields: 5 of 23
- Statistical and Nonlinear Physics 265
- Computational Mathematics 9
- Nuclear and High Energy Physics 168
- Atomic and Molecular Physics, and Optics 393
- Astronomy and Astrophysics 115
Countries citing papers authored by Pratik Nandy
This map shows the geographic impact of Pratik Nandy'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 Pratik Nandy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratik Nandy more than expected).
Fields of papers citing papers by Pratik Nandy
This network shows the impact of papers produced by Pratik Nandy. 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 Pratik Nandy. The network helps show where Pratik Nandy may publish in the future.
Co-authors
The 16 scholars most cited alongside Pratik Nandy, 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 | 2022 | 89 | |
| 2 | 2023 | 73 | |
| 3 | 2022 | 64 | |
| 4 | 2023 | 48 | |
| 5 | 2020 | 47 | |
| 6 | 2022 | 40 | |
| 7 | 2023 | 39 | |
| 8 | 2021 | 34 | |
| 9 | 2024 | 33 | |
| 10 | Quantum dynamics in Krylov space: Methods and applications Hit paper breakdown → | 2025 | 25 |
| 11 | 2022 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2025 | 13 | |
| 14 | 2025 | 10 | |
| 15 | 2025 | 10 | |
| 16 | 2022 | 6 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 0 |
About Pratik Nandy
Pratik Nandy is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 18 papers that have together received 574 indexed citations. Recurring topics across this work include Quantum many-body systems (12 papers), Quantum chaos and dynamical systems (6 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Quantum Information and Cryptography (3 papers), Noncommutative and Quantum Gravity Theories (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Black Holes and Theoretical Physics (3 papers) and Cosmology and Gravitation Theories (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (265 citations), Computational Mathematics (9 citations), Nuclear and High Energy Physics (168 citations), Atomic and Molecular Physics, and Optics (393 citations) and Astronomy and Astrophysics (115 citations). Pratik Nandy has collaborated with scholars based in Japan, India and Spain. Frequent co-authors include Aranya Bhattacharya, Arpan Bhattacharyya, Ayan Patra, Xiangyu Cao, Aninda Sinha, Hugo A. Camargo, Qiang Wen, Anatoly Dymarsky, Adolfo del Campo and Johanna Erdmenger. Their work appears in journals such as Journal of High Energy Physics, Physical review. B., SciPost Physics, Physical review. D and Physical Review Letters.
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.