Péter German
Impact in
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- Model Reduction and Neural Networks
- Aerospace Engineering top 10%
- Nuclear reactor physics and engineering
- Nuclear Engineering Thermal-Hydraulics
Papers in
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- Model Reduction and Neural Networks 9
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- Nuclear reactor physics and engineering 6
- Nuclear Engineering Thermal-Hydraulics 3
- Co-authors
- Jean C. Ragusa (7 shared papers)Carlo Fiorina (5 shared papers)Mauricio Tano (7 shared papers)Derek Gaston (3 shared papers)Zachary M. Prince (3 shared papers)Dewen Yushu (2 shared papers)B.W. Spencer (2 shared papers)Wen Jiang (2 shared papers)
- Journals
- SoftwareX (3 papers)Progress in Nuclear Energy (3 papers)Nuclear Engineering and Design (1 paper)Annals of Nuclear Energy (1 paper)The International Journal of Advanced Manufacturing Technology (1 paper)
- Partner nations
- United StatesSwitzerlandHungary
In The Last Decade
Péter German
13 papers receiving 139 citations
Peers
Comparison fields: 5 of 28
- Statistical and Nonlinear Physics 74
- Aerospace Engineering 107
- Statistics, Probability and Uncertainty 24
- Radiation 14
- Computational Mechanics 26
Countries citing papers authored by Péter German
This map shows the geographic impact of Péter German'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 Péter German with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter German more than expected).
Fields of papers citing papers by Péter German
This network shows the impact of papers produced by Péter German. 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 Péter German. The network helps show where Péter German may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter German, 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 | 2019 | 40 | |
| 2 | 2019 | 22 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2023 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2016 | 0 |
About Péter German
Péter German is a scholar working on Statistical and Nonlinear Physics, Aerospace Engineering, Computational Mechanics, Statistics, Probability and Uncertainty and Materials Chemistry, having authored 15 papers that have together received 144 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (9 papers), Nuclear reactor physics and engineering (6 papers), Probabilistic and Robust Engineering Design (4 papers), Nuclear Engineering Thermal-Hydraulics (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Nuclear Materials and Properties (2 papers), Fluid Dynamics and Vibration Analysis (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (74 citations), Aerospace Engineering (107 citations), Statistics, Probability and Uncertainty (24 citations), Radiation (14 citations) and Computational Mechanics (26 citations). Péter German has collaborated with scholars based in United States, Switzerland and Hungary. Frequent co-authors include Jean C. Ragusa, Carlo Fiorina, Mauricio Tano, Derek Gaston, Zachary M. Prince, Dewen Yushu, B.W. Spencer, Wen Jiang, Somayajulu L. N. Dhulipala and Andrew E. Slaughter. Their work appears in journals such as SoftwareX, Progress in Nuclear Energy, Nuclear Engineering and Design, Annals of Nuclear Energy and The International Journal of Advanced Manufacturing Technology.
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.