David Peter
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Cold Atom Physics and Bose-Einstein Condensates
- Quantum many-body systems
- Topological Materials and Phenomena
- Quantum optics and atomic interactions
Papers in
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- Advanced Neural Network Applications 4
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- Cold Atom Physics and Bose-Einstein Condensates 5
- Quantum and electron transport phenomena 1
- Co-authors
- Hans Peter Büchler (6 shared papers)Stefan Weßel (1 shared paper)Tilman Pfau (3 shared papers)Robert Löw (2 shared papers)Alexander Krupp (2 shared papers)Sebastian Hofferberth (2 shared papers)Anita Gaj (2 shared papers)Jonathan Balewski (2 shared papers)
In The Last Decade
David Peter
18 papers receiving 543 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 48
- Atomic and Molecular Physics, and Optics 291
- Automotive Engineering 37
- Instrumentation 9
- Condensed Matter Physics 41
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 24 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 140 | |
| 2 | 2013 | 125 | |
| 3 | 2012 | 102 | |
| 4 | 2015 | 55 | |
| 5 | 2019 | 52 | |
| 6 | 2020 | 19 | |
| 7 | 1989 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2013 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 1 |
About David Peter
David Peter is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 552 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (5 papers), Advanced Neural Network Applications (4 papers), AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Speech Recognition and Synthesis (2 papers), Artificial Intelligence in Healthcare (2 papers), 3D Shape Modeling and Analysis (2 papers) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Health Informatics (48 citations), Atomic and Molecular Physics, and Optics (291 citations), Automotive Engineering (37 citations), Instrumentation (9 citations) and Condensed Matter Physics (41 citations). David Peter has collaborated with scholars based in Germany, India and Austria. Frequent co-authors include Hans Peter Büchler, Stefan Weßel, Tilman Pfau, Robert Löw, Alexander Krupp, Sebastian Hofferberth, Anita Gaj, Jonathan Balewski, Nicolai Lang and Sebastian D. Huber. Their work appears in journals such as Physical Review Letters, International Journal of Computer Vision, Journal of Applied Biomedicine, Life and Nature.
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.