F. Wulschner
Impact in
-
- Quantum and electron transport phenomena
- Mechanical and Optical Resonators
- Quantum optics and atomic interactions
- Cold Atom Physics and Bose-Einstein Condensates
- Strong Light-Matter Interactions
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
Papers in
-
- Mechanical and Optical Resonators 4
- Quantum and electron transport phenomena 4
- Quantum Mechanics and Applications 2
- Quantum optics and atomic interactions 2
- Cold Atom Physics and Bose-Einstein Condensates 1
-
- Quantum Information and Cryptography 7
- Quantum Computing Algorithms and Architecture 1
- Co-authors
- Achim Marx (7 shared papers)Frank Deppe (7 shared papers)David Zueco (3 shared papers)Rudolf Groß (3 shared papers)Borja Peropadre (2 shared papers)Juan José García‐Ripoll (1 shared paper)Kirill G. Fedorov (5 shared papers)Jan Goetz (5 shared papers)
In The Last Decade
F. Wulschner
8 papers receiving 376 citations
Peers
Comparison fields: 5 of 19
- Atomic and Molecular Physics, and Optics 349
- Artificial Intelligence 286
- Statistical and Nonlinear Physics 28
- Condensed Matter Physics 20
- Acoustics and Ultrasonics 1
Countries citing papers authored by F. Wulschner
This map shows the geographic impact of F. Wulschner'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 F. Wulschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Wulschner more than expected).
Fields of papers citing papers by F. Wulschner
This network shows the impact of papers produced by F. Wulschner. 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 F. Wulschner. The network helps show where F. Wulschner may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Wulschner, 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 | 2013 | 102 | |
| 2 | 2016 | 76 | |
| 3 | 2015 | 50 | |
| 4 | 2016 | 50 | |
| 5 | 2016 | 41 | |
| 6 | 2017 | 32 | |
| 7 | 2017 | 27 | |
| 8 | 2018 | 3 |
About F. Wulschner
F. Wulschner is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Mechanical and Optical Resonators (4 papers), Quantum and electron transport phenomena (4 papers), Physics of Superconductivity and Magnetism (2 papers), Quantum Mechanics and Applications (2 papers), Quantum optics and atomic interactions (2 papers), Quantum Computing Algorithms and Architecture (1 paper) and Cold Atom Physics and Bose-Einstein Condensates (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (349 citations), Artificial Intelligence (286 citations), Statistical and Nonlinear Physics (28 citations), Condensed Matter Physics (20 citations) and Acoustics and Ultrasonics (1 citation). F. Wulschner has collaborated with scholars based in Germany, Spain and Japan. Frequent co-authors include Achim Marx, Frank Deppe, David Zueco, Rudolf Groß, Borja Peropadre, Juan José García‐Ripoll, Kirill G. Fedorov, Jan Goetz, Peter Eder and Ling Zhong. Their work appears in journals such as Physical Review B, Physical Review Letters, Physical review. B., Applied Physics Letters and Physical Review Applied.
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.