Aniruddha Bapat
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics
- Hardware and Architecture
- Co-authors
- Alexey V. GorshkovLucas T. BradyChristopher L. BaldwinStephen P. JordanHarvey KaplanPatrick BeckerA. KyprianidisAbhinav Deshpande
- Topics
- Quantum Computing Algorithms and Architecture (10 papers)Quantum Information and Cryptography (9 papers)Quantum and electron transport phenomena (3 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Aniruddha Bapat
11 papers receiving 266 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 237
- Atomic and Molecular Physics, and Optics 132
- Computational Theory and Mathematics 64
- Statistical and Nonlinear Physics 12
- Hardware and Architecture 12
Countries citing papers authored by Aniruddha Bapat
This map shows the geographic impact of Aniruddha Bapat'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 Aniruddha Bapat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aniruddha Bapat more than expected).
Fields of papers citing papers by Aniruddha Bapat
This network shows the impact of papers produced by Aniruddha Bapat. 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 Aniruddha Bapat. The network helps show where Aniruddha Bapat may publish in the future.
Co-authorship network of co-authors of Aniruddha Bapat
This figure shows the co-authorship network connecting the top 25 collaborators of Aniruddha Bapat. A scholar is included among the top collaborators of Aniruddha Bapat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aniruddha Bapat. Aniruddha Bapat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 80 | |
| 8 | 146 | |
| 9 | Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator | 6 |
| 10 | 4 | |
| 11 | 1 |
About Aniruddha Bapat
Aniruddha Bapat is a scholar working on Computational Mathematics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 275 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (9 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Artificial Intelligence (237 citations), Atomic and Molecular Physics, and Optics (132 citations) and Computational Theory and Mathematics (64 citations). Aniruddha Bapat has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Alexey V. Gorshkov, Lucas T. Brady, Christopher L. Baldwin, Stephen P. Jordan, Harvey Kaplan, Patrick Becker, A. Kyprianidis, Abhinav Deshpande, Paul Hess and Arinjoy De. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Physical review. D.
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.