Eddy Mayer-Wolf
Impact in
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
- Advanced Banach Space Theory
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
Papers in
-
- Stochastic processes and statistical mechanics 6
- Numerical methods in inverse problems 3
-
- Markov Chains and Monte Carlo Methods 5
- Co-authors
- Moshe Zakai (8 shared papers)B.Z. Bobrovsky (1 shared paper)Ofer Zeitouni (5 shared papers)Martin Zerner (2 shared papers)В. И. Богачев (1 shared paper)Amir Dembo (1 shared paper)Adam Shwartz (1 shared paper)Ely Merzbach (1 shared paper)
- Journals
- Journal of Functional Analysis (3 papers)The Annals of Probability (2 papers)Probability Theory and Related Fields (2 papers)Annales de l Institut Henri Poincaré Probabilités et Statistiques (2 papers)Potential Analysis (1 paper)
- Partner nations
- IsraelUnited StatesRussia
In The Last Decade
Eddy Mayer-Wolf
16 papers receiving 286 citations
Peers
Comparison fields: 5 of 53
- Mathematical Physics 107
- Statistics and Probability 72
- Finance 62
- Applied Mathematics 53
- Artificial Intelligence 89
Countries citing papers authored by Eddy Mayer-Wolf
This map shows the geographic impact of Eddy Mayer-Wolf'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 Eddy Mayer-Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eddy Mayer-Wolf more than expected).
Fields of papers citing papers by Eddy Mayer-Wolf
This network shows the impact of papers produced by Eddy Mayer-Wolf. 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 Eddy Mayer-Wolf. The network helps show where Eddy Mayer-Wolf may publish in the future.
Co-authors
The 10 scholars most cited alongside Eddy Mayer-Wolf, 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 | 1987 | 133 | |
| 2 | 1993 | 30 | |
| 3 | 1981 | 26 | |
| 4 | Stochastic Analysis: Liber Amicorum for Moshe Zakai | 1991 | 25 |
| 5 | 2004 | 19 | |
| 6 | 2004 | 18 | |
| 7 | 1995 | 17 | |
| 8 | 1996 | 14 | |
| 9 | 2005 | 12 | |
| 10 | 2002 | 10 | |
| 11 | 2004 | 6 | |
| 12 | 1988 | 5 | |
| 13 | 2005 | 4 | |
| 14 | 2007 | 3 | |
| 15 | 1993 | 3 | |
| 16 | 2008 | 1 | |
| 17 | 2004 | 1 |
About Eddy Mayer-Wolf
Eddy Mayer-Wolf is a scholar working on Mathematical Physics, Statistics and Probability, Artificial Intelligence, Applied Mathematics and Finance, having authored 17 papers that have together received 327 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (6 papers), Markov Chains and Monte Carlo Methods (5 papers), Bayesian Methods and Mixture Models (5 papers), Stochastic processes and financial applications (3 papers), Numerical methods in inverse problems (3 papers), Mathematical Analysis and Transform Methods (3 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Diffusion and Search Dynamics (2 papers). The work is most often cited by research in Mathematical Physics (107 citations), Statistics and Probability (72 citations), Finance (62 citations), Applied Mathematics (53 citations) and Artificial Intelligence (89 citations). Eddy Mayer-Wolf has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include Moshe Zakai, B.Z. Bobrovsky, Ofer Zeitouni, Martin Zerner, В. И. Богачев, Amir Dembo, Adam Shwartz, Ely Merzbach, Persi Diaconis and Ali Süleyman Üstünel. Their work appears in journals such as Journal of Functional Analysis, The Annals of Probability, Probability Theory and Related Fields, Annales de l Institut Henri Poincaré Probabilités et Statistiques and Potential Analysis.
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.