Raban Iten
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
Papers in
-
- Quantum Information and Cryptography 7
- Quantum Computing Algorithms and Architecture 6
- Neural Networks and Applications 2
- Computational Physics and Python Applications 1
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- Quantum Mechanics and Applications 2
- Quantum and electron transport phenomena 1
- Co-authors
- Tony Metger (3 shared papers)Henrik Wilming (2 shared papers)Renato Renner (2 shared papers)Lídia del Rio (1 shared paper)Roger Colbeck (3 shared papers)Matthias Christandl (2 shared papers)Jonathan Home (1 shared paper)Ivan Kukuljan (1 shared paper)
- Journals
- Physical review. A (2 papers)IEEE Transactions on Information Theory (1 paper)Machine Learning Science and Technology (1 paper)Physical Review Letters (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Raban Iten
8 papers receiving 490 citations
Raban Iten's Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 320
- Acoustics and Ultrasonics 6
- Statistical and Nonlinear Physics 78
- Computational Mathematics 3
- Computational Theory and Mathematics 80
Countries citing papers authored by Raban Iten
This map shows the geographic impact of Raban Iten'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 Raban Iten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raban Iten more than expected).
Fields of papers citing papers by Raban Iten
This network shows the impact of papers produced by Raban Iten. 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 Raban Iten. The network helps show where Raban Iten may publish in the future.
Co-authors
The 16 scholars most cited alongside Raban Iten, 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 | Discovering Physical Concepts with Neural Networks Hit paper breakdown → | 2020 | 283 |
| 2 | 2016 | 131 | |
| 3 | 2021 | 29 | |
| 4 | 2017 | 20 | |
| 5 | 2022 | 20 | |
| 6 | 2016 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2020 | 3 | |
| 9 | 2017 | 0 |
About Raban Iten
Raban Iten is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 9 papers that have together received 507 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Neural Networks and Applications (2 papers), Quantum Mechanics and Applications (2 papers), Statistical Mechanics and Entropy (1 paper), Quantum and electron transport phenomena (1 paper), Computability, Logic, AI Algorithms (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Artificial Intelligence (320 citations), Acoustics and Ultrasonics (6 citations), Statistical and Nonlinear Physics (78 citations), Computational Mathematics (3 citations) and Computational Theory and Mathematics (80 citations). Raban Iten has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Tony Metger, Henrik Wilming, Renato Renner, Lídia del Rio, Roger Colbeck, Matthias Christandl, Jonathan Home, Ivan Kukuljan, David Sutter and Stefan Woerner. Their work appears in journals such as Physical review. A, IEEE Transactions on Information Theory, Machine Learning Science and Technology, Physical Review Letters and arXiv (Cornell University).
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.