Lars Bonnes
Impact in
- Computational Mathematics top 10%
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
Papers in
-
- Quantum many-body systems 9
- Cold Atom Physics and Bose-Einstein Condensates 8
- Quantum, superfluid, helium dynamics 6
- Quantum and electron transport phenomena 4
- Strong Light-Matter Interactions 3
-
- Physics of Superconductivity and Magnetism 4
- Theoretical and Computational Physics 1
- Co-authors
- Andreas M. Läuchli (6 shared papers)Stefan Weßel (7 shared papers)Fabian H. L. Eßler (1 shared paper)Pochung Chen (2 shared papers)Chia-Min Chung (2 shared papers)Hannes Pichler (2 shared papers)Andrew J. Daley (1 shared paper)P. Zoller (1 shared paper)
In The Last Decade
Lars Bonnes
15 papers receiving 480 citations
Peers
Comparison fields: 5 of 22
- Computational Mathematics 11
- Condensed Matter Physics 179
- Atomic and Molecular Physics, and Optics 449
- Statistical and Nonlinear Physics 85
- Artificial Intelligence 123
Countries citing papers authored by Lars Bonnes
This map shows the geographic impact of Lars Bonnes'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 Lars Bonnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Bonnes more than expected).
Fields of papers citing papers by Lars Bonnes
This network shows the impact of papers produced by Lars Bonnes. 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 Lars Bonnes. The network helps show where Lars Bonnes may publish in the future.
Co-authors
The 20 scholars most cited alongside Lars Bonnes, 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 | 2014 | 117 | |
| 2 | 2011 | 49 | |
| 3 | Thermal versus entanglement entropy : a measurement protocol for fermionic atoms with a quantum gas microscope | 2013 | 47 |
| 4 | 2012 | 41 | |
| 5 | 2014 | 41 | |
| 6 | 2015 | 31 | |
| 7 | 2018 | 27 | |
| 8 | 2014 | 26 | |
| 9 | 2014 | 26 | |
| 10 | 2011 | 25 | |
| 11 | 2010 | 18 | |
| 12 | 2012 | 17 | |
| 13 | 2013 | 8 | |
| 14 | 2011 | 6 | |
| 15 | 2013 | 1 |
About Lars Bonnes
Lars Bonnes is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Statistical and Nonlinear Physics, Artificial Intelligence and Computational Mathematics, having authored 15 papers that have together received 480 indexed citations. Recurring topics across this work include Quantum many-body systems (9 papers), Cold Atom Physics and Bose-Einstein Condensates (8 papers), Quantum, superfluid, helium dynamics (6 papers), Physics of Superconductivity and Magnetism (4 papers), Quantum and electron transport phenomena (4 papers), Strong Light-Matter Interactions (3 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Theoretical and Computational Physics (1 paper). The work is most often cited by research in Computational Mathematics (11 citations), Condensed Matter Physics (179 citations), Atomic and Molecular Physics, and Optics (449 citations), Statistical and Nonlinear Physics (85 citations) and Artificial Intelligence (123 citations). Lars Bonnes has collaborated with scholars based in Austria, Germany and Taiwan. Frequent co-authors include Andreas M. Läuchli, Stefan Weßel, Fabian H. L. Eßler, Pochung Chen, Chia-Min Chung, Hannes Pichler, Andrew J. Daley, P. Zoller, Ana María Rey and Salvatore R. Manmana. Their work appears in journals such as Physical Review B, Physical Review Letters, Physical Review A, New Journal of Physics and Frontiers in 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.