Eddy Mayer-Wolf

About

Eddy Mayer-Wolf is a scholar working on Mathematical Physics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Eddy Mayer-Wolf has authored 15 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mathematical Physics, 8 papers in Statistics and Probability and 6 papers in Artificial Intelligence. Recurrent topics in Eddy Mayer-Wolf’s work include Stochastic processes and statistical mechanics (6 papers), Markov Chains and Monte Carlo Methods (5 papers) and Bayesian Methods and Mixture Models (5 papers). Eddy Mayer-Wolf is often cited by papers focused on Stochastic processes and statistical mechanics (6 papers), Markov Chains and Monte Carlo Methods (5 papers) and Bayesian Methods and Mixture Models (5 papers). Eddy Mayer-Wolf collaborates with scholars based in Israel, United States and Russia. Eddy Mayer-Wolf's co-authors include Moshe Zakai, B.Z. Bobrovsky, Ofer Zeitouni, Martin Zerner, Alexander Roitershtein, Persi Diaconis, В. И. Богачев, Amir Dembo and Ali Süleyman Üstünel and has published in prestigious journals such as The Annals of Statistics, Journal of Functional Analysis and The Annals of Probability.

In The Last Decade

Co-authorship network of co-authors of Eddy Mayer-Wolf i

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Fields of papers citing papers by Eddy Mayer-Wolf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Eddy Mayer-Wolf

Since Specialization

Citations

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).

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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