Ronen Eldan
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
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- Limits and Structures in Graph Theory
Papers in
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- Markov Chains and Monte Carlo Methods 13
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- Machine Learning and Algorithms 3
- Bayesian Modeling and Causal Inference 3
- Bayesian Methods and Mixture Models 3
- Co-authors
- Ohad Shamir (1 shared paper)Sébastien Bubeck (4 shared papers)Yuansi Chen (2 shared papers)Joseph Lehec (3 shared papers)Bo’az Klartag (1 shared paper)James R. Lee (2 shared papers)Jian Ding (2 shared papers)Alex Zhai (2 shared papers)
- Journals
- Duke Mathematical Journal (2 papers)Geometric and Functional Analysis (2 papers)Annales de l Institut Henri Poincaré Probabilités et Statistiques (2 papers)Inventiones mathematicae (2 papers)The Annals of Probability (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Ronen Eldan
25 papers receiving 375 citations
Peers
Comparison fields: 5 of 71
- Statistics and Probability 109
- Discrete Mathematics and Combinatorics 41
- Applied Mathematics 107
- Mathematical Physics 75
- Artificial Intelligence 136
Countries citing papers authored by Ronen Eldan
This map shows the geographic impact of Ronen Eldan'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 Ronen Eldan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronen Eldan more than expected).
Fields of papers citing papers by Ronen Eldan
This network shows the impact of papers produced by Ronen Eldan. 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 Ronen Eldan. The network helps show where Ronen Eldan may publish in the future.
Co-authors
The 15 scholars most cited alongside Ronen Eldan, 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 | The Power of Depth for Feedforward Neural Networks | 2016 | 129 |
| 2 | 2013 | 46 | |
| 3 | 2018 | 32 | |
| 4 | 2014 | 32 | |
| 5 | 2015 | 28 | |
| 6 | 2022 | 23 | |
| 7 | 2014 | 17 | |
| 8 | 2008 | 16 | |
| 9 | 2015 | 10 | |
| 10 | 2018 | 10 | |
| 11 | 2016 | 7 | |
| 12 | The entropic barrier: a simple and optimal universal self-concordant barrier | 2015 | 7 |
| 13 | Finite-time analysis of projected Langevin Monte Carlo | 2015 | 5 |
| 14 | Bandit smooth convex optimization: improving the bias-variance tradeoff | 2015 | 5 |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2015 | 3 |
About Ronen Eldan
Ronen Eldan is a scholar working on Statistics and Probability, Artificial Intelligence, Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics, having authored 27 papers that have together received 397 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (13 papers), Stochastic processes and statistical mechanics (7 papers), Point processes and geometric inequalities (4 papers), Stochastic processes and financial applications (3 papers), Machine Learning and Algorithms (3 papers), Bayesian Modeling and Causal Inference (3 papers), Complexity and Algorithms in Graphs (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (109 citations), Discrete Mathematics and Combinatorics (41 citations), Applied Mathematics (107 citations), Mathematical Physics (75 citations) and Artificial Intelligence (136 citations). Ronen Eldan has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ohad Shamir, Sébastien Bubeck, Yuansi Chen, Joseph Lehec, Bo’az Klartag, James R. Lee, Jian Ding, Alex Zhai, Ofer Dekel and Tselil Schramm. Their work appears in journals such as Duke Mathematical Journal, Geometric and Functional Analysis, Annales de l Institut Henri Poincaré Probabilités et Statistiques, Inventiones mathematicae and The Annals of Probability.
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.