Eyal Lubetzky
- Mathematical Physics top 2%
- Statistics and Probability top 1%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Co-authors
- Allan SlyUri StavYuval PeresJian DingRobert KleinbergNoga AlonBenny SudakovFabio Martinelli
- Topics
- Stochastic processes and statistical mechanics (41 papers)Markov Chains and Monte Carlo Methods (31 papers)Limits and Structures in Graph Theory (23 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEIEEE Transactions on Information Theory
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Eyal Lubetzky
66 papers receiving 892 citations
Peers
Comparison fields: 5 of 91
- Mathematical Physics 357
- Statistics and Probability 323
- Computer Networks and Communications 276
- Electrical and Electronic Engineering 183
- Computational Theory and Mathematics 169
Countries citing papers authored by Eyal Lubetzky
This map shows the geographic impact of Eyal Lubetzky'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 Eyal Lubetzky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyal Lubetzky more than expected).
Fields of papers citing papers by Eyal Lubetzky
This network shows the impact of papers produced by Eyal Lubetzky. 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 Eyal Lubetzky. The network helps show where Eyal Lubetzky may publish in the future.
Co-authorship network of co-authors of Eyal Lubetzky
This figure shows the co-authorship network connecting the top 25 collaborators of Eyal Lubetzky. A scholar is included among the top collaborators of Eyal Lubetzky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eyal Lubetzky. Eyal Lubetzky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 35 | |
| 7 | 25 | |
| 8 | 14 | |
| 9 | 13 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | Information percolation for the Ising model: cutoff in three dimensions up to criticality | 1 |
| 13 | 14 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 54 | |
| 17 | 6 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 1 |
About Eyal Lubetzky
Eyal Lubetzky is a scholar working on Discrete Mathematics and Combinatorics, Mathematical Physics and Statistics and Probability, having authored 68 papers that have together received 940 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (41 papers), Markov Chains and Monte Carlo Methods (31 papers) and Limits and Structures in Graph Theory (23 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (166 citations), Mathematical Physics (357 citations) and Statistics and Probability (323 citations). Eyal Lubetzky has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Allan Sly, Uri Stav, Yuval Peres, Jian Ding, Robert Kleinberg, Noga Alon, Benny Sudakov, Fabio Martinelli, Michael Krivelevich and Daphna Harel. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and IEEE Transactions on Information Theory.
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.