Michael Moeckel
Impact in
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
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- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum and electron transport phenomena
- Quantum, superfluid, helium dynamics
- Strong Light-Matter Interactions
Papers in
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- Quantum many-body systems 3
- Cold Atom Physics and Bose-Einstein Condensates 2
- Quantum and electron transport phenomena 1
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- Machine Learning and Data Classification 2
- Co-authors
- Stefan Kehrein (3 shared papers)Martin Eckstein (1 shared paper)Andreas Hackl (1 shared paper)F. Alexander Wolf (1 shared paper)Marcus Kollar (1 shared paper)Philipp Werner (1 shared paper)Florian Marquardt (1 shared paper)Eva M. Weig (1 shared paper)
- Journals
- New Journal of Physics (2 papers)Scientific Reports (1 paper)IEEE Access (1 paper)Physical Review Letters (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanySwitzerlandBrazil
In The Last Decade
Michael Moeckel
8 papers receiving 460 citations
Peers
Comparison fields: 5 of 24
- Condensed Matter Physics 202
- Atomic and Molecular Physics, and Optics 443
- Statistical and Nonlinear Physics 148
- Computational Mathematics 5
- Geometry and Topology 10
Countries citing papers authored by Michael Moeckel
This map shows the geographic impact of Michael Moeckel'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 Michael Moeckel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Moeckel more than expected).
Fields of papers citing papers by Michael Moeckel
This network shows the impact of papers produced by Michael Moeckel. 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 Michael Moeckel. The network helps show where Michael Moeckel may publish in the future.
Co-authors
The 14 scholars most cited alongside Michael Moeckel, 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 | 2008 | 324 | |
| 2 | 2010 | 73 | |
| 3 | 2009 | 45 | |
| 4 | 2014 | 6 | |
| 5 | 2024 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 0 |
About Michael Moeckel
Michael Moeckel is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 9 papers that have together received 461 indexed citations. Recurring topics across this work include Quantum many-body systems (3 papers), Physics of Superconductivity and Magnetism (2 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), Machine Learning and Data Classification (2 papers), Attention Deficit Hyperactivity Disorder (1 paper), Quantum and electron transport phenomena (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Laser Material Processing Techniques (1 paper). The work is most often cited by research in Condensed Matter Physics (202 citations), Atomic and Molecular Physics, and Optics (443 citations), Statistical and Nonlinear Physics (148 citations), Computational Mathematics (5 citations) and Geometry and Topology (10 citations). Michael Moeckel has collaborated with scholars based in Germany, Switzerland and Brazil. Frequent co-authors include Stefan Kehrein, Martin Eckstein, Andreas Hackl, F. Alexander Wolf, Marcus Kollar, Philipp Werner, Florian Marquardt, Eva M. Weig, Donghui Li and Francisco A. Rodrigues. Their work appears in journals such as New Journal of Physics, Scientific Reports, IEEE Access, Physical Review Letters and PLoS ONE.
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.