Arya Dhar
Impact in
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
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- Cold Atom Physics and Bose-Einstein Condensates
- Quantum, superfluid, helium dynamics
- Quantum many-body systems
- Strong Light-Matter Interactions
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
Papers in
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- Cold Atom Physics and Bose-Einstein Condensates 13
- Quantum, superfluid, helium dynamics 8
- Quantum many-body systems 8
- Strong Light-Matter Interactions 2
- Quantum and electron transport phenomena 1
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- Physics of Superconductivity and Magnetism 7
- Advanced Condensed Matter Physics 1
- Co-authors
- Ramesh V. Pai (6 shared papers)Tapan Mishra (5 shared papers)Subroto Mukerjee (3 shared papers)Arun Paramekanti (2 shared papers)B. P. Das (5 shared papers)Päivi Törmä (2 shared papers)J. J. Kinnunen (2 shared papers)L. Santos (2 shared papers)
In The Last Decade
Arya Dhar
13 papers receiving 307 citations
Peers
Comparison fields: 5 of 19
- Condensed Matter Physics 141
- Atomic and Molecular Physics, and Optics 297
- Statistical and Nonlinear Physics 16
- Artificial Intelligence 25
- Geochemistry and Petrology 2
Countries citing papers authored by Arya Dhar
This map shows the geographic impact of Arya Dhar'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 Arya Dhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arya Dhar more than expected).
Fields of papers citing papers by Arya Dhar
This network shows the impact of papers produced by Arya Dhar. 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 Arya Dhar. The network helps show where Arya Dhar may publish in the future.
Co-authors
The 21 scholars most cited alongside Arya Dhar, 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 | 2012 | 99 | |
| 2 | 2013 | 85 | |
| 3 | 2012 | 28 | |
| 4 | 2020 | 21 | |
| 5 | 2011 | 19 | |
| 6 | 2011 | 16 | |
| 7 | 2013 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2016 | 8 | |
| 10 | 2021 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2015 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2022 | 0 |
About Arya Dhar
Arya Dhar is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 14 papers that have together received 312 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (13 papers), Quantum, superfluid, helium dynamics (8 papers), Quantum many-body systems (8 papers), Physics of Superconductivity and Magnetism (7 papers), Strong Light-Matter Interactions (2 papers), Quantum and electron transport phenomena (1 paper), Advanced Condensed Matter Physics (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Condensed Matter Physics (141 citations), Atomic and Molecular Physics, and Optics (297 citations), Statistical and Nonlinear Physics (16 citations), Artificial Intelligence (25 citations) and Geochemistry and Petrology (2 citations). Arya Dhar has collaborated with scholars based in India, Germany and Finland. Frequent co-authors include Ramesh V. Pai, Tapan Mishra, Subroto Mukerjee, Arun Paramekanti, B. P. Das, Päivi Törmä, J. J. Kinnunen, L. Santos, Xiaolong Deng and Kenichi Kasamatsu. Their work appears in journals such as Physical Review A, Physical review. B., Physical review. A, physica status solidi (b) 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.