Mir Alimuddin
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
- Artificial Intelligence top 10%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Quantum Information and Cryptography 20
- Quantum Computing Algorithms and Architecture 12
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- Quantum Mechanics and Applications 19
- Spectroscopy and Quantum Chemical Studies 1
- Co-authors
- Preeti Parashar (6 shared papers)Manik Banik (13 shared papers)Shao-Ming Fei (1 shared paper)Ming‐Xing Luo (2 shared papers)Stefan Nimmrichter (1 shared paper)Saronath Halder (1 shared paper)Guruprasad Kar (1 shared paper)T. S. Mahesh (1 shared paper)
In The Last Decade
Mir Alimuddin
23 papers receiving 240 citations
Peers
Comparison fields: 5 of 24
- Statistical and Nonlinear Physics 84
- Artificial Intelligence 199
- Atomic and Molecular Physics, and Optics 189
- Computational Mathematics 1
- Physical and Theoretical Chemistry 5
Countries citing papers authored by Mir Alimuddin
This map shows the geographic impact of Mir Alimuddin'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 Mir Alimuddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mir Alimuddin more than expected).
Fields of papers citing papers by Mir Alimuddin
This network shows the impact of papers produced by Mir Alimuddin. 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 Mir Alimuddin. The network helps show where Mir Alimuddin may publish in the future.
Co-authors
The 14 scholars most cited alongside Mir Alimuddin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 64 | |
| 2 | 2020 | 34 | |
| 3 | 2019 | 26 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Mir Alimuddin
Mir Alimuddin is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 23 papers that have together received 242 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (20 papers), Quantum Mechanics and Applications (19 papers), Quantum Computing Algorithms and Architecture (12 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), History and advancements in chemistry (2 papers), Advanced Algebra and Logic (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (84 citations), Artificial Intelligence (199 citations), Atomic and Molecular Physics, and Optics (189 citations), Computational Mathematics (1 citation) and Physical and Theoretical Chemistry (5 citations). Mir Alimuddin has collaborated with scholars based in India, Spain and Belgium. Frequent co-authors include Preeti Parashar, Manik Banik, Shao-Ming Fei, Ming‐Xing Luo, Stefan Nimmrichter, Saronath Halder, Guruprasad Kar, T. S. Mahesh, Samyadeb Bhattacharya and Wan‐Su Bao. Their work appears in journals such as Physical review. A, Physical Review Letters, Physical review. E, New Journal of Physics and Quantum.
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.