Elchanan Mossel

193 papers and 4.5k indexed citations i.

About

Elchanan Mossel is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Elchanan Mossel has authored 193 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computational Theory and Mathematics, 60 papers in Artificial Intelligence and 51 papers in Statistics and Probability. Recurrent topics in Elchanan Mossel’s work include Markov Chains and Monte Carlo Methods (39 papers), Stochastic processes and statistical mechanics (39 papers) and Combinatorial Optimization and Complexity Theory (32 papers). Elchanan Mossel is often cited by papers focused on Markov Chains and Monte Carlo Methods (39 papers), Stochastic processes and statistical mechanics (39 papers) and Combinatorial Optimization and Complexity Theory (32 papers). Elchanan Mossel collaborates with scholars based in United States, Israel and Sweden. Elchanan Mossel's co-authors include Allan Sly, Sébastien Roch, Ryan O’Donnell, Joe Neeman, Guy Kindler, Yuval Peres, Omer Tamuz, Subhash Khot, Eric Vigoda and Krzysztof Oleszkiewicz and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Quarterly Journal of Economics.

In The Last Decade

Co-authorship network of co-authors of Elchanan Mossel i

Fields of papers citing papers by Elchanan Mossel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elchanan Mossel. 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 Elchanan Mossel. The network helps show where Elchanan Mossel may publish in the future.

Countries citing papers authored by Elchanan Mossel

Since Specialization
Citations

This map shows the geographic impact of Elchanan Mossel'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 Elchanan Mossel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elchanan Mossel 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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2025