Ramona Wolf
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
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- Quantum Mechanics and Applications
- Quantum many-body systems
- Quantum and electron transport phenomena
Papers in
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- Quantum Mechanics and Applications 4
- Quantum many-body systems 4
- Laser-Matter Interactions and Applications 1
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- Physics of Superconductivity and Magnetism 2
- Co-authors
- Tobias J. OsborneKerstin BeerDmytro BondarenkoTerry FarrellyRobert SalzmannRenato RennerErnest Y.-Z. TanRené Schwonnek
- Journals
- Physical Review Letters (3 papers)Physical review. B. (2 papers)Lecture notes in physics (1 paper)Nature Communications (1 paper)AIAA Journal (1 paper)
- Partner nations
- GermanySwitzerlandCanada
In The Last Decade
Ramona Wolf
12 papers receiving 548 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 451
- Atomic and Molecular Physics, and Optics 217
- Computational Theory and Mathematics 71
- Geometry and Topology 27
- Health Informatics 3
Countries citing papers authored by Ramona Wolf
This map shows the geographic impact of Ramona Wolf'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 Ramona Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramona Wolf more than expected).
Fields of papers citing papers by Ramona Wolf
This network shows the impact of papers produced by Ramona Wolf. 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 Ramona Wolf. The network helps show where Ramona Wolf may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Ramona Wolf, 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 | 2025 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 32 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 35 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 52 | |
| 8 | 2021 | 22 | |
| 9 | Robust Device-Independent Quantum Key Distribution | 2020 | 1 |
| 10 | 2020 | 2 | |
| 11 | Training deep quantum neural networks Hit paper breakdown → | 2020 | 388 |
| 12 | 2020 | 17 | |
| 13 | 2019 | 12 |
About Ramona Wolf
Ramona Wolf is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Geometry and Topology and Nuclear and High Energy Physics, having authored 13 papers that have together received 576 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (8 papers), Quantum Computing Algorithms and Architecture (6 papers), Quantum Mechanics and Applications (4 papers), Quantum many-body systems (4 papers), Physics of Superconductivity and Magnetism (2 papers), Laser-Matter Interactions and Applications (1 paper), Algebraic structures and combinatorial models (1 paper) and Black Holes and Theoretical Physics (1 paper). The work is most often cited by research in Artificial Intelligence (451 citations), Atomic and Molecular Physics, and Optics (217 citations), Computational Theory and Mathematics (71 citations), Geometry and Topology (27 citations) and Health Informatics (3 citations). Ramona Wolf has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Tobias J. Osborne, Kerstin Beer, Dmytro Bondarenko, Terry Farrelly, Robert Salzmann, Renato Renner, Ernest Y.-Z. Tan, René Schwonnek, Valerio Scarani and Charles Ci Wen Lim. Their work appears in journals such as Physical Review Letters, Physical review. B., Lecture notes in physics, Nature Communications and AIAA Journal.
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.