Salman Beigi
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Peter W. ShorRobert KönigMarc-Olivier RenouNicolas GisinNicolas BrunnerSadra BoreiriAmin GohariElisa Bäumer
- Topics
- Quantum Information and Cryptography (22 papers)Quantum Computing Algorithms and Architecture (21 papers)Quantum Mechanics and Applications (14 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- IranUnited StatesSingapore
In The Last Decade
Salman Beigi
36 papers receiving 759 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 560
- Atomic and Molecular Physics, and Optics 551
- Statistical and Nonlinear Physics 128
- Computational Theory and Mathematics 79
- Electrical and Electronic Engineering 62
Countries citing papers authored by Salman Beigi
This map shows the geographic impact of Salman Beigi'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 Salman Beigi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salman Beigi more than expected).
Fields of papers citing papers by Salman Beigi
This network shows the impact of papers produced by Salman Beigi. 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 Salman Beigi. The network helps show where Salman Beigi may publish in the future.
Co-authorship network of co-authors of Salman Beigi
This figure shows the co-authorship network connecting the top 25 collaborators of Salman Beigi. A scholar is included among the top collaborators of Salman Beigi 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 Salman Beigi. Salman Beigi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 126 | |
| 6 | 37 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | Quantum Rényi Divergence Satisfies Data Processing Inequality. | 5 |
| 13 | 129 | |
| 14 | 13 | |
| 15 | 0 | |
| 16 | 9 | |
| 17 | 105 | |
| 18 | The Kitaev Model with Boundary: Condensations and Symmetries | 2 |
| 19 | 60 | |
| 20 | 25 |
About Salman Beigi
Salman Beigi is a scholar working on Artificial Intelligence, Statistics and Probability and Atomic and Molecular Physics, and Optics, having authored 39 papers that have together received 777 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (22 papers), Quantum Computing Algorithms and Architecture (21 papers) and Quantum Mechanics and Applications (14 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (551 citations), Artificial Intelligence (560 citations) and Statistical and Nonlinear Physics (128 citations). Salman Beigi has collaborated with scholars based in Iran, United States and Singapore. Frequent co-authors include Peter W. Shor, Robert König, Marc-Olivier Renou, Nicolas Gisin, Nicolas Brunner, Sadra Boreiri, Amin Gohari, Elisa Bäumer, Howard Barnum and Sergio Boixo. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory and Physical Review A.
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.