R. Preuss

53 papers receiving 1.0k citations

Peers

R. Preuss
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
Replace D. Walgraef with:
D. Walgraef Belgium
Thomas Franosch Germany
William T. Coffey Ireland
Cyrill B. Muratov United States
Rafael Delgado‐Buscalioni Spain
J.M. López Spain
Mikito Toda Japan
Tai L. Chow United States
P. Borckmans Belgium
R. Preuss relative to D. Walgraef Belgium D. Walgraef's profile →
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Citations per year

Countries citing papers authored by R. Preuss

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with R. Preuss Line = papers co-authored together R. Preuss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008256
2 1995142
3 200395
4 199779
5 199468
6 200467
7 201655
8 199632
9 200128
10 199620
11 201818
12 200215
13 200915
14 200313
15 200713
16 201213
17 200012
18 200112
19 199812
20
Bayesian Inference and Maximum Entropy Methods in Science and Engineering
200411

About R. Preuss

R. Preuss is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Aerospace Engineering and Biomedical Engineering, 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), Ionosphere and magnetosphere dynamics (5 papers), Quantum and electron transport phenomena (5 papers), Statistical Mechanics and Entropy (5 papers), Superconducting Materials and Applications (5 papers) and Ion-surface interactions and analysis (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, Rainer Klages, Albrecht Schwab, 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.

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