David Peter
Impact in
- Health Informatics top 5%
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- Cold Atom Physics and Bose-Einstein Condensates
- Quantum, superfluid, helium dynamics
- Quantum many-body systems
- Topological Materials and Phenomena
- Atomic and Subatomic Physics Research
Papers in
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- Cold Atom Physics and Bose-Einstein Condensates 5
- Quantum, superfluid, helium dynamics 4
- Quantum and electron transport phenomena 3
- Advanced Chemical Physics Studies 2
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- AI in cancer detection 5
- Co-authors
- Hans Peter Büchler (6 shared papers)S. Müller (1 shared paper)Stefan Weßel (1 shared paper)Tilman Pfau (3 shared papers)Anita Gaj (2 shared papers)Jonathan Balewski (2 shared papers)Sebastian Hofferberth (2 shared papers)Robert Löw (2 shared papers)
In The Last Decade
David Peter
21 papers receiving 446 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 41
- Atomic and Molecular Physics, and Optics 268
- Condensed Matter Physics 69
- Radiology, Nuclear Medicine and Imaging 68
- Artificial Intelligence 114
Countries citing papers authored by David Peter
This map shows the geographic impact of David Peter'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 David Peter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Peter more than expected).
Fields of papers citing papers by David Peter
This network shows the impact of papers produced by David Peter. 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 David Peter. The network helps show where David Peter may publish in the future.
Co-authors
The 25 scholars most cited alongside David Peter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 127 | |
| 2 | 2013 | 110 | |
| 3 | 2012 | 90 | |
| 4 | 2015 | 47 | |
| 5 | 2020 | 17 | |
| 6 | 1989 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2014 | 7 | |
| 9 | 2013 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 1990 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2005 | 2 | |
| 16 | 2016 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2020 | 1 |
About David Peter
David Peter is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 453 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (6 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), AI in cancer detection (5 papers), Quantum, superfluid, helium dynamics (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Quantum and electron transport phenomena (3 papers), Advanced Chemical Physics Studies (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Health Informatics (41 citations), Atomic and Molecular Physics, and Optics (268 citations), Condensed Matter Physics (69 citations), Radiology, Nuclear Medicine and Imaging (68 citations) and Artificial Intelligence (114 citations). David Peter has collaborated with scholars based in Germany, India and France. Frequent co-authors include Hans Peter Büchler, S. Müller, Stefan Weßel, Tilman Pfau, Anita Gaj, Jonathan Balewski, Sebastian Hofferberth, Robert Löw, Alexander Krupp and Nicolai Lang. Their work appears in journals such as Physical Review Letters, Technology in Cancer Research & Treatment, Artificial Intelligence in Medicine, International Journal of Computer Vision and Journal of Applied Biomedicine.
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.