Asutosh Kumar
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
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- Quantum Mechanics and Applications
- Quantum many-body systems
- Quantum Mechanics and Non-Hermitian Physics
- Quantum and electron transport phenomena
Papers in
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- Quantum Information and Cryptography 24
- Quantum Computing Algorithms and Architecture 3
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- Radioactivity and Radon Measurements 1
- Co-authors
- Junde Wu (14 shared papers)Sunho Kim (8 shared papers)Ujjwal Sen (10 shared papers)Lin Zhang (1 shared paper)Kaifeng Bu (1 shared paper)Aditi Sen (7 shared papers)R. Prabhu (4 shared papers)Himadri Shekhar Dhar (2 shared papers)
In The Last Decade
Asutosh Kumar
28 papers receiving 408 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 367
- Atomic and Molecular Physics, and Optics 123
- Statistical and Nonlinear Physics 15
- Nuclear and High Energy Physics 6
- Radiology, Nuclear Medicine and Imaging 3
Countries citing papers authored by Asutosh Kumar
This map shows the geographic impact of Asutosh Kumar'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 Asutosh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asutosh Kumar more than expected).
Fields of papers citing papers by Asutosh Kumar
This network shows the impact of papers produced by Asutosh Kumar. 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 Asutosh Kumar. The network helps show where Asutosh Kumar may publish in the future.
Co-authors
The 22 scholars most cited alongside Asutosh Kumar, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2017 | 65 | |
| 3 | 2018 | 36 | |
| 4 | 2015 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2016 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2016 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 5 |
About Asutosh Kumar
Asutosh Kumar is a scholar working on Artificial Intelligence, Radiological and Ultrasound Technology, Global and Planetary Change, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics, having authored 29 papers that have together received 412 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (24 papers), Quantum Computing Algorithms and Architecture (3 papers), Effects of Radiation Exposure (1 paper), Radioactivity and Radon Measurements (1 paper), Quantum Mechanics and Non-Hermitian Physics (1 paper) and Radioactive contamination and transfer (1 paper). The work is most often cited by research in Artificial Intelligence (367 citations), Atomic and Molecular Physics, and Optics (123 citations), Statistical and Nonlinear Physics (15 citations), Nuclear and High Energy Physics (6 citations) and Radiology, Nuclear Medicine and Imaging (3 citations). Asutosh Kumar has collaborated with scholars based in India, China and Austria. Frequent co-authors include Junde Wu, Sunho Kim, Ujjwal Sen, Lin Zhang, Kaifeng Bu, Aditi Sen, R. Prabhu, Himadri Shekhar Dhar, Amit Kumar Pal and Sudipto Singha Roy. Their work appears in journals such as Physical Review A, Physics Letters A, Quantum Information and Computation, Chinese Physics B and Communications in Theoretical 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.