Jonas Landman
Impact in
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
Papers in
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- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 6
- Neural Networks and Reservoir Computing 1
- Neural Networks and Applications 1
- Machine Learning and ELM 1
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- Quantum-Dot Cellular Automata 3
Jonas Landman
7 papers receiving 142 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 119
- Computational Mathematics 2
- Computational Theory and Mathematics 37
- Acoustics and Ultrasonics 1
- Health Informatics 1
Countries citing papers authored by Jonas Landman
This map shows the geographic impact of Jonas Landman'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 Landman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Landman more than expected).
Fields of papers citing papers by Jonas Landman
This network shows the impact of papers produced by Jonas Landman. 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 Landman. The network helps show where Jonas Landman may publish in the future.
Co-authors
The 7 scholars most cited alongside Jonas Landman, 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 | 2021 | 46 | |
| 2 | 2022 | 44 | |
| 3 | 2024 | 41 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2025 | 3 |
About Jonas Landman
Jonas Landman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 147 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (6 papers), Quantum-Dot Cellular Automata (3 papers), Neural Networks and Reservoir Computing (1 paper), Quantum many-body systems (1 paper), Neural Networks and Applications (1 paper), Machine Learning and ELM (1 paper) and Quantum Mechanics and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (119 citations), Computational Mathematics (2 citations), Computational Theory and Mathematics (37 citations), Acoustics and Ultrasonics (1 citation) and Health Informatics (1 citation). Jonas Landman has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Iordanis Kerenidis, Martin Strahm, Elham Kashefi, Slimane Thabet, Alex B. Grilo, Nishant Jain and R. Kukla. Their work appears in journals such as Quantum, Quantum Science and Technology 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.