Peter Staar
Impact in
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
Papers in
-
- Physics of Superconductivity and Magnetism 11
- Advanced Condensed Matter Physics 6
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- Handwritten Text Recognition Techniques 7
- Graph Theory and Algorithms 3
- Co-authors
- Alessandro Curioni (4 shared papers)Thomas Schulthess (11 shared papers)Thomas Maier (9 shared papers)Edward O. Pyzer‐Knapp (2 shared papers)John R. Smith (2 shared papers)Teodoro Laino (2 shared papers)James Sexton (1 shared paper)Jed W. Pitera (1 shared paper)
- Journals
- Physical Review B (4 papers)Physical review. B. (3 papers)npj Computational Materials (2 papers)Nature Communications (2 papers)npj Digital Medicine (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Peter Staar
40 papers receiving 919 citations
Peter Staar's Hit Papers
Peers
Comparison fields: 5 of 110
- Condensed Matter Physics 204
- Health Informatics 11
- Hardware and Architecture 49
- Computer Vision and Pattern Recognition 116
- Electronic, Optical and Magnetic Materials 96
Countries citing papers authored by Peter Staar
This map shows the geographic impact of Peter Staar'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 Peter Staar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Staar more than expected).
Fields of papers citing papers by Peter Staar
This network shows the impact of papers produced by Peter Staar. 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 Peter Staar. The network helps show where Peter Staar may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Staar, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Accelerating materials discovery using artificial intelligence, high performance computing and robotics Hit paper breakdown → | 2022 | 297 |
| 2 | 2015 | 99 | |
| 3 | 2011 | 84 | |
| 4 | 2022 | 73 | |
| 5 | 2025 | 42 | |
| 6 | 2018 | 34 | |
| 7 | 2013 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2014 | 22 | |
| 12 | 2016 | 20 | |
| 13 | 2016 | 18 | |
| 14 | 2023 | 15 | |
| 15 | 2023 | 13 | |
| 16 | 2024 | 13 | |
| 17 | 2016 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2012 | 9 | |
| 20 | 2020 | 9 |
About Peter Staar
Peter Staar is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 42 papers that have together received 948 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (11 papers), Quantum and electron transport phenomena (8 papers), Topic Modeling (7 papers), Handwritten Text Recognition Techniques (7 papers), Advanced Condensed Matter Physics (6 papers), Machine Learning in Materials Science (4 papers), Graph Theory and Algorithms (3 papers) and Magnetic and transport properties of perovskites and related materials (3 papers). The work is most often cited by research in Condensed Matter Physics (204 citations), Health Informatics (11 citations), Hardware and Architecture (49 citations), Computer Vision and Pattern Recognition (116 citations) and Electronic, Optical and Magnetic Materials (96 citations). Peter Staar has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Alessandro Curioni, Thomas Schulthess, Thomas Maier, Edward O. Pyzer‐Knapp, John R. Smith, Teodoro Laino, James Sexton, Jed W. Pitera, Daniel P. Sanders and Seiji Takeda. Their work appears in journals such as Physical Review B, Physical review. B., npj Computational Materials, Nature Communications and npj Digital Medicine.
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.