Simon Storz
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
-
- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
- Mechanical and Optical Resonators
Papers in
-
- Quantum Mechanics and Applications 3
- Quantum and electron transport phenomena 2
-
- Quantum Computing Algorithms and Architecture 4
- Quantum Information and Cryptography 4
- Co-authors
- Andreas Wallraff (6 shared papers)Paul Magnard (5 shared papers)Philipp Kurpiers (5 shared papers)Alexandre Blais (3 shared papers)T. Walter (3 shared papers)Jean-Claude Besse (3 shared papers)Baptiste Royer (3 shared papers)Johannes Heinsoo (3 shared papers)
- Journals
- Physical Review Letters (3 papers)EPJ Quantum Technology (1 paper)Nature (1 paper)Bulletin of the American Physical Society (1 paper)
- Partner nations
- SwitzerlandCanadaFrance
In The Last Decade
Simon Storz
6 papers receiving 437 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 392
- Atomic and Molecular Physics, and Optics 364
- Statistical and Nonlinear Physics 25
- Electrical and Electronic Engineering 65
- Condensed Matter Physics 12
Countries citing papers authored by Simon Storz
This map shows the geographic impact of Simon Storz'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 Simon Storz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Storz more than expected).
Fields of papers citing papers by Simon Storz
This network shows the impact of papers produced by Simon Storz. 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 Simon Storz. The network helps show where Simon Storz may publish in the future.
Co-authors
The 19 scholars most cited alongside Simon Storz, 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 | 2018 | 200 | |
| 2 | 2020 | 130 | |
| 3 | 2018 | 114 | |
| 4 | 2019 | 7 | |
| 5 | Experimental Study of an Elementary Cryogenic Microwave Quantum Network | 2020 | 1 |
| 6 | 2025 | 1 |
About Simon Storz
Simon Storz is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Statistical and Nonlinear Physics and Infectious Diseases, having authored 6 papers that have together received 453 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (4 papers), Quantum Mechanics and Applications (3 papers), Quantum and electron transport phenomena (2 papers), Physics of Superconductivity and Magnetism (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Artificial Intelligence (392 citations), Atomic and Molecular Physics, and Optics (364 citations), Statistical and Nonlinear Physics (25 citations), Electrical and Electronic Engineering (65 citations) and Condensed Matter Physics (12 citations). Simon Storz has collaborated with scholars based in Switzerland, Canada and France. Frequent co-authors include Andreas Wallraff, Paul Magnard, Philipp Kurpiers, Alexandre Blais, T. Walter, Jean-Claude Besse, Baptiste Royer, Johannes Heinsoo, Marek Pechal and Simone Gasparinetti. Their work appears in journals such as Physical Review Letters, EPJ Quantum Technology, Nature and Bulletin of the American Physical Society.
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.