Gábor Pete
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
- Random Matrices and Applications
Papers in
-
- Stochastic processes and statistical mechanics 14
- Mathematical Dynamics and Fractals 3
-
- Theoretical and Computational Physics 9
- Co-authors
- Christophe Garban (4 shared papers)Oded Schramm (4 shared papers)Yuval Peres (2 shared papers)József Balogh (2 shared papers)Hugo Duminil‐Copin (1 shared paper)Alan Hammond (2 shared papers)Ivan Bonamassa (1 shared paper)Amos Lapidoth (1 shared paper)
- Journals
- The Annals of Probability (3 papers)Random Structures and Algorithms (2 papers)Communications in Mathematical Physics (1 paper)Israel Journal of Mathematics (1 paper)Nature Communications (1 paper)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
Gábor Pete
17 papers receiving 271 citations
Peers
Comparison fields: 5 of 36
- Mathematical Physics 213
- Statistics and Probability 151
- Condensed Matter Physics 108
- Discrete Mathematics and Combinatorics 22
- Statistical and Nonlinear Physics 48
Countries citing papers authored by Gábor Pete
This map shows the geographic impact of Gábor Pete'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 Gábor Pete with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Pete more than expected).
Fields of papers citing papers by Gábor Pete
This network shows the impact of papers produced by Gábor Pete. 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 Gábor Pete. The network helps show where Gábor Pete may publish in the future.
Co-authors
The 11 scholars most cited alongside Gábor Pete, 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 | 2006 | 50 | |
| 2 | 2010 | 42 | |
| 3 | 2013 | 40 | |
| 4 | 1998 | 36 | |
| 5 | 2009 | 27 | |
| 6 | 2008 | 22 | |
| 7 | 2008 | 12 | |
| 8 | 1998 | 11 | |
| 9 | 2014 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2015 | 8 | |
| 13 | 2010 | 4 | |
| 14 | 2008 | 4 | |
| 15 | 2012 | 3 | |
| 16 | 2022 | 2 | |
| 17 | Corner percolation on Z2 anf thr dwustr toot og 17. | 2008 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Gábor Pete
Gábor Pete is a scholar working on Mathematical Physics, Condensed Matter Physics, Statistics and Probability, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 19 papers that have together received 291 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (14 papers), Theoretical and Computational Physics (9 papers), Markov Chains and Monte Carlo Methods (7 papers), Limits and Structures in Graph Theory (4 papers), Mathematical Dynamics and Fractals (3 papers), Complex Network Analysis Techniques (2 papers), Bayesian Methods and Mixture Models (2 papers) and Geometric Analysis and Curvature Flows (1 paper). The work is most often cited by research in Mathematical Physics (213 citations), Statistics and Probability (151 citations), Condensed Matter Physics (108 citations), Discrete Mathematics and Combinatorics (22 citations) and Statistical and Nonlinear Physics (48 citations). Gábor Pete has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include Christophe Garban, Oded Schramm, Yuval Peres, József Balogh, Hugo Duminil‐Copin, Alan Hammond, Ivan Bonamassa, Amos Lapidoth, Márton Pósfai and Elchanan Mossel. Their work appears in journals such as The Annals of Probability, Random Structures and Algorithms, Communications in Mathematical Physics, Israel Journal of Mathematics and Nature Communications.
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.