Daniel Mayer
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
- stochastic dynamics and bifurcation
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- Cold Atom Physics and Bose-Einstein Condensates
- Quantum, superfluid, helium dynamics
- Atomic and Subatomic Physics Research
- Quantum many-body systems
- Strong Light-Matter Interactions
Papers in
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- Cold Atom Physics and Bose-Einstein Condensates 8
- Atomic and Subatomic Physics Research 4
- Quantum, superfluid, helium dynamics 4
- Strong Light-Matter Interactions 2
- Quantum many-body systems 2
- Advanced Frequency and Time Standards 2
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- Advanced Thermodynamics and Statistical Mechanics 4
- Co-authors
- Artur Widera (12 shared papers)Felix Schmidt (11 shared papers)Tobias Lausch (11 shared papers)Michael Hohmann (7 shared papers)Farina Kindermann (7 shared papers)Quentin Bouton (5 shared papers)Eric Lutz (4 shared papers)E. Tiemann (2 shared papers)
In The Last Decade
Daniel Mayer
13 papers receiving 323 citations
Peers
Comparison fields: 5 of 35
- Statistical and Nonlinear Physics 114
- Atomic and Molecular Physics, and Optics 262
- Artificial Intelligence 99
- Modeling and Simulation 14
- Condensed Matter Physics 29
Countries citing papers authored by Daniel Mayer
This map shows the geographic impact of Daniel Mayer'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 Daniel Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mayer more than expected).
Fields of papers citing papers by Daniel Mayer
This network shows the impact of papers produced by Daniel Mayer. 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 Daniel Mayer. The network helps show where Daniel Mayer may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Mayer, 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 | 2020 | 65 | |
| 2 | 2016 | 46 | |
| 3 | 2015 | 43 | |
| 4 | 2016 | 41 | |
| 5 | 2018 | 37 | |
| 6 | 2016 | 35 | |
| 7 | 2017 | 27 | |
| 8 | 2019 | 14 | |
| 9 | 2020 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2017 | 3 | |
| 13 | 1997 | 1 |
About Daniel Mayer
Daniel Mayer is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Molecular Biology, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (8 papers), Atomic and Subatomic Physics Research (4 papers), Quantum, superfluid, helium dynamics (4 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Strong Light-Matter Interactions (2 papers), Quantum many-body systems (2 papers), Advanced Frequency and Time Standards (2 papers) and Diffusion and Search Dynamics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (114 citations), Atomic and Molecular Physics, and Optics (262 citations), Artificial Intelligence (99 citations), Modeling and Simulation (14 citations) and Condensed Matter Physics (29 citations). Daniel Mayer has collaborated with scholars based in Germany and Japan. Frequent co-authors include Artur Widera, Felix Schmidt, Tobias Lausch, Michael Hohmann, Farina Kindermann, Quentin Bouton, Eric Lutz, E. Tiemann, Andreas Dechant and Nicolas Spethmann. Their work appears in journals such as Physical Review Letters, Physical review. A, Nature Physics, EPJ Quantum Technology and Communications Physics.
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.