Peter Eichelsbacher
Impact in
- Statistics and Probability top 2%
- Random Matrices and Applications
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
-
- Random Matrices and Applications 14
- Statistical Methods and Inference 10
- Markov Chains and Monte Carlo Methods 6
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- Stochastic processes and statistical mechanics 13
- Co-authors
- Christoph Thäle (4 shared papers)Matthias Löwe (6 shared papers)Uwe Schmock (4 shared papers)Wolfgang König (1 shared paper)Gesine Reinert (1 shared paper)Małgorzata Roos (1 shared paper)Tim Zajic (1 shared paper)Neil O’Connell (1 shared paper)
- Journals
- Electronic Journal of Probability (6 papers)Stochastic Processes and their Applications (4 papers)Bernoulli (2 papers)ESAIM Probability and Statistics (2 papers)Probability Theory and Related Fields (2 papers)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Peter Eichelsbacher
37 papers receiving 248 citations
Peers
Comparison fields: 5 of 45
- Statistics and Probability 179
- Mathematical Physics 133
- Discrete Mathematics and Combinatorics 38
- Applied Mathematics 68
- Finance 59
Countries citing papers authored by Peter Eichelsbacher
This map shows the geographic impact of Peter Eichelsbacher'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 Eichelsbacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Eichelsbacher more than expected).
Fields of papers citing papers by Peter Eichelsbacher
This network shows the impact of papers produced by Peter Eichelsbacher. 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 Eichelsbacher. The network helps show where Peter Eichelsbacher may publish in the future.
Co-authors
The 13 scholars most cited alongside Peter Eichelsbacher, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 26 | |
| 2 | 2003 | 25 | |
| 3 | 2010 | 25 | |
| 4 | 2008 | 21 | |
| 5 | 2015 | 21 | |
| 6 | 2008 | 18 | |
| 7 | 1995 | 13 | |
| 8 | 1999 | 12 | |
| 9 | 2002 | 11 | |
| 10 | 2002 | 11 | |
| 11 | 1998 | 9 | |
| 12 | 2003 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2002 | 7 | |
| 16 | 1997 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2009 | 5 | |
| 19 | 2004 | 4 | |
| 20 | Large deviations for products of empirical measures of dependent sequences | 2001 | 3 |
About Peter Eichelsbacher
Peter Eichelsbacher is a scholar working on Statistics and Probability, Mathematical Physics, Finance, Artificial Intelligence and Applied Mathematics, having authored 39 papers that have together received 276 indexed citations. Recurring topics across this work include Random Matrices and Applications (14 papers), Stochastic processes and statistical mechanics (13 papers), Statistical Methods and Inference (10 papers), Stochastic processes and financial applications (8 papers), Bayesian Methods and Mixture Models (8 papers), Markov Chains and Monte Carlo Methods (6 papers), Theoretical and Computational Physics (5 papers) and Probability and Risk Models (5 papers). The work is most often cited by research in Statistics and Probability (179 citations), Mathematical Physics (133 citations), Discrete Mathematics and Combinatorics (38 citations), Applied Mathematics (68 citations) and Finance (59 citations). Peter Eichelsbacher has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Christoph Thäle, Matthias Löwe, Uwe Schmock, Wolfgang König, Gesine Reinert, Małgorzata Roos, Tim Zajic, Neil O’Connell, Yuliy Baryshnikov and J. E. Yukich. Their work appears in journals such as Electronic Journal of Probability, Stochastic Processes and their Applications, Bernoulli, ESAIM Probability and Statistics and Probability Theory and Related Fields.
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.