R. Preuss
Impact in
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
- Modeling and Simulation top 5%
Papers in
-
- Magnetic confinement fusion research 15
- Co-authors
- W. HankePeter DieterichWolfgang von der LindenAlbrecht SchwabRainer KlagesW. EcksteinAriel CatichaV. Dose
- Journals
- Physical Review Letters (5 papers)Fusion Science & Technology (4 papers)Nuclear Fusion (4 papers)Journal of Mass Spectrometry (2 papers)Journal of Nuclear Materials (2 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
R. Preuss
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Condensed Matter Physics 350
- Modeling and Simulation 64
- Nuclear and High Energy Physics 153
- Statistical and Nonlinear Physics 117
- Electronic, Optical and Magnetic Materials 160
Countries citing papers authored by R. Preuss
This map shows the geographic impact of R. Preuss'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 R. Preuss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Preuss more than expected).
Fields of papers citing papers by R. Preuss
This network shows the impact of papers produced by R. Preuss. 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 R. Preuss. The network helps show where R. Preuss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Preuss, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 0 | |
| 5 | 2021 | 4 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 3 | |
| 8 | 2018 | 18 | |
| 9 | 2017 | 1 | |
| 10 | 2007 | 1 | |
| 11 | 2007 | 3 | |
| 12 | 2007 | 1 | |
| 13 | 2005 | 5 | |
| 14 | Bayesian inference and maximum entropy methods in science and engineering : 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany 25-30 July 2004 | 2004 | 2 |
| 15 | Bayesian Inference and Maximum Entropy Methods in Science and Engineering | 2004 | 11 |
| 16 | 2004 | 67 | |
| 17 | 2002 | 15 | |
| 18 | 2001 | 28 | |
| 19 | 2000 | 12 | |
| 20 | The prior predictive value | 1999 | 2 |
About R. Preuss
R. Preuss is a scholar working on Nuclear and High Energy Physics, Statistics, Probability and Uncertainty, Condensed Matter Physics, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (15 papers), Nuclear reactor physics and engineering (7 papers), Physics of Superconductivity and Magnetism (6 papers), Quantum and electron transport phenomena (5 papers), Superconducting Materials and Applications (5 papers), Ionosphere and magnetosphere dynamics (5 papers), Statistical Mechanics and Entropy (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Condensed Matter Physics (350 citations), Modeling and Simulation (64 citations), Nuclear and High Energy Physics (153 citations), Statistical and Nonlinear Physics (117 citations) and Electronic, Optical and Magnetic Materials (160 citations). R. Preuss has collaborated with scholars based in Germany, China and United States. Frequent co-authors include W. Hanke, Peter Dieterich, Wolfgang von der Linden, Albrecht Schwab, Rainer Klages, W. Eckstein, Ariel Caticha, V. Dose, U. von Toussaint and Hans Gerd Evertz. Their work appears in journals such as Physical Review Letters, Fusion Science & Technology, Nuclear Fusion, Journal of Mass Spectrometry and Journal of Nuclear Materials.
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.