Jonas Kahn
Impact in
-
- Computational Geometry and Mesh Generation
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
-
- Quantum Information and Cryptography 10
- Quantum Computing Algorithms and Architecture 8
-
- Sparse and Compressive Sensing Techniques 7
- Co-authors
- Mădălin Guţǎ (5 shared papers)Maria Klawe (1 shared paper)Daniel J. Kleitman (1 shared paper)Philippe Ciuciu (5 shared papers)Nicolas Chauffert (5 shared papers)Pierre Weiss (5 shared papers)Richard Kueng (2 shared papers)Massimiliano F. Sacchi (2 shared papers)
- Journals
- Physical Review A (6 papers)SIAM Journal on Imaging Sciences (3 papers)Communications in Mathematical Physics (2 papers)The Annals of Probability (1 paper)Constructive Approximation (1 paper)
- Partner nations
- FranceUnited KingdomItaly
In The Last Decade
Jonas Kahn
28 papers receiving 588 citations
Peers
Comparison fields: 5 of 59
- Computer Graphics and Computer-Aided Design 81
- Artificial Intelligence 343
- Atomic and Molecular Physics, and Optics 259
- Statistics and Probability 45
- Computational Mechanics 96
Countries citing papers authored by Jonas Kahn
This map shows the geographic impact of Jonas Kahn'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 Jonas Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Kahn more than expected).
Fields of papers citing papers by Jonas Kahn
This network shows the impact of papers produced by Jonas Kahn. 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 Jonas Kahn. The network helps show where Jonas Kahn may publish in the future.
Co-authors
The 20 scholars most cited alongside Jonas Kahn, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 94 | |
| 2 | 2009 | 69 | |
| 3 | 2020 | 65 | |
| 4 | 2006 | 48 | |
| 5 | 2014 | 37 | |
| 6 | 2005 | 36 | |
| 7 | 2018 | 30 | |
| 8 | 2016 | 30 | |
| 9 | 2007 | 26 | |
| 10 | 2007 | 25 | |
| 11 | 2022 | 21 | |
| 12 | 2005 | 21 | |
| 13 | 2016 | 19 | |
| 14 | 2016 | 17 | |
| 15 | 2018 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2007 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2008 | 6 | |
| 20 | 2010 | 4 |
About Jonas Kahn
Jonas Kahn is a scholar working on Artificial Intelligence, Computational Mechanics, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Mathematical Physics, having authored 28 papers that have together received 605 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (8 papers), Sparse and Compressive Sensing Techniques (7 papers), Quantum Mechanics and Applications (4 papers), Markov Chains and Monte Carlo Methods (3 papers), Topological and Geometric Data Analysis (3 papers), Spectral Theory in Mathematical Physics (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (81 citations), Artificial Intelligence (343 citations), Atomic and Molecular Physics, and Optics (259 citations), Statistics and Probability (45 citations) and Computational Mechanics (96 citations). Jonas Kahn has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Mădălin Guţǎ, Maria Klawe, Daniel J. Kleitman, Philippe Ciuciu, Nicolas Chauffert, Pierre Weiss, Richard Kueng, Massimiliano F. Sacchi, Giacomo Mauro D’Ariano and Joel A. Tropp. Their work appears in journals such as Physical Review A, SIAM Journal on Imaging Sciences, Communications in Mathematical Physics, The Annals of Probability and Constructive Approximation.
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.