Andreas Eberle
Impact in
- Mathematical Physics top 5%
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Markov Chains and Monte Carlo Methods 12
-
- Stochastic processes and statistical mechanics 4
- advanced mathematical theories 3
- Co-authors
- Rainer Stiefelhagen (1 shared paper)M. Saquib Sarfraz (1 shared paper)Arne Schumann (1 shared paper)Arnaud Guillin (4 shared papers)Nawaf Bou‐Rabee (2 shared papers)Carlo Marinelli (3 shared papers)Peter Sanders (1 shared paper)Alain Durmus (3 shared papers)
- Journals
- Probability Theory and Related Fields (3 papers)Journal de Mathématiques Pures et Appliquées (2 papers)The Annals of Applied Probability (2 papers)Bernoulli (1 paper)Stochastic Partial Differential Equations Analysis and Computations (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Andreas Eberle
25 papers receiving 731 citations
Andreas Eberle's Hit Papers
Peers
Comparison fields: 5 of 57
- Mathematical Physics 180
- Statistics and Probability 148
- Computer Vision and Pattern Recognition 362
- Applied Mathematics 154
- Finance 98
Countries citing papers authored by Andreas Eberle
This map shows the geographic impact of Andreas Eberle'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 Andreas Eberle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Eberle more than expected).
Fields of papers citing papers by Andreas Eberle
This network shows the impact of papers produced by Andreas Eberle. 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 Andreas Eberle. The network helps show where Andreas Eberle may publish in the future.
Co-authors
The 12 scholars most cited alongside Andreas Eberle, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking Hit paper breakdown → | 2018 | 363 |
| 2 | 1999 | 111 | |
| 3 | 2016 | 75 | |
| 4 | 2019 | 70 | |
| 5 | 2011 | 30 | |
| 6 | 2000 | 17 | |
| 7 | 1996 | 11 | |
| 8 | 2002 | 11 | |
| 9 | 2015 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2000 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 1997 | 6 | |
| 15 | 2012 | 6 | |
| 16 | Weak Sobolev spaces and Markov uniqueness of operators | 1995 | 5 |
| 17 | 2003 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2009 | 4 | |
| 20 | 2003 | 4 |
About Andreas Eberle
Andreas Eberle is a scholar working on Statistics and Probability, Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 27 papers that have together received 775 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (12 papers), Geometric Analysis and Curvature Flows (6 papers), Stochastic processes and statistical mechanics (4 papers), Stochastic processes and financial applications (3 papers), advanced mathematical theories (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Advanced Differential Geometry Research (2 papers) and Nonlinear Partial Differential Equations (2 papers). The work is most often cited by research in Mathematical Physics (180 citations), Statistics and Probability (148 citations), Computer Vision and Pattern Recognition (362 citations), Applied Mathematics (154 citations) and Finance (98 citations). Andreas Eberle has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Rainer Stiefelhagen, M. Saquib Sarfraz, Arne Schumann, Arnaud Guillin, Nawaf Bou‐Rabee, Carlo Marinelli, Peter Sanders, Alain Durmus, Moritz Kaßmann and Wilhelm Stannat. Their work appears in journals such as Probability Theory and Related Fields, Journal de Mathématiques Pures et Appliquées, The Annals of Applied Probability, Bernoulli and Stochastic Partial Differential Equations Analysis and Computations.
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.