Michael Prähofer
Impact in
- Statistics and Probability top 0.5%
- Random Matrices and Applications
- Mathematical Physics top 1%
- Stochastic processes and statistical mechanics
Papers in
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- Random Matrices and Applications 11
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- Stochastic processes and statistical mechanics 10
- Co-authors
- Herbert Spohn (9 shared papers)Patrik L. Ferrari (5 shared papers)Alexei Borodin (2 shared papers)Tomohiro Sasamoto (2 shared papers)Folkmar Bornemann (1 shared paper)Jon Warren (1 shared paper)
- Journals
- Journal of Statistical Physics (5 papers)Physica A Statistical Mechanics and its Applications (2 papers)Journal of Physics A Mathematical and Theoretical (1 paper)Electronic Communications in Probability (1 paper)Physical Review Letters (1 paper)
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Michael Prähofer
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 50
- Statistics and Probability 809
- Mathematical Physics 790
- Discrete Mathematics and Combinatorics 176
- Condensed Matter Physics 629
- Statistical and Nonlinear Physics 97
Countries citing papers authored by Michael Prähofer
This map shows the geographic impact of Michael Prähofer'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 Michael Prähofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Prähofer more than expected).
Fields of papers citing papers by Michael Prähofer
This network shows the impact of papers produced by Michael Prähofer. 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 Michael Prähofer. The network helps show where Michael Prähofer may publish in the future.
Co-authors
The 6 scholars most cited alongside Michael Prähofer, 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 | 2002 | 312 | |
| 2 | 2000 | 293 | |
| 3 | 2004 | 163 | |
| 4 | 2007 | 134 | |
| 5 | 2000 | 73 | |
| 6 | 1997 | 25 | |
| 7 | 2008 | 24 | |
| 8 | 1996 | 21 | |
| 9 | 2004 | 18 | |
| 10 | 2009 | 17 | |
| 11 | 2003 | 9 | |
| 12 | 2006 | 6 | |
| 13 | 2023 | 3 |
About Michael Prähofer
Michael Prähofer is a scholar working on Statistics and Probability, Mathematical Physics, Condensed Matter Physics, Discrete Mathematics and Combinatorics and Molecular Biology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Random Matrices and Applications (11 papers), Stochastic processes and statistical mechanics (10 papers), Theoretical and Computational Physics (9 papers), Point processes and geometric inequalities (1 paper), Diffusion and Search Dynamics (1 paper), Black Holes and Theoretical Physics (1 paper), Random lasers and scattering media (1 paper) and Rheology and Fluid Dynamics Studies (1 paper). The work is most often cited by research in Statistics and Probability (809 citations), Mathematical Physics (790 citations), Discrete Mathematics and Combinatorics (176 citations), Condensed Matter Physics (629 citations) and Statistical and Nonlinear Physics (97 citations). Michael Prähofer has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Herbert Spohn, Patrik L. Ferrari, Alexei Borodin, Tomohiro Sasamoto, Folkmar Bornemann and Jon Warren. Their work appears in journals such as Journal of Statistical Physics, Physica A Statistical Mechanics and its Applications, Journal of Physics A Mathematical and Theoretical, Electronic Communications in Probability and Physical Review Letters.
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.