Balázs Ráth
- Mathematical Physics top 5%
- Statistics and Probability top 5%
- Condensed Matter Physics top 10%
- Discrete Mathematics and Combinatorics top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Artëm SapozhnikovSerguei PopovBálint TóthCarlos HoppenRudini SampaioYoshiharu KohayakawaCarlos Gustavo MoreiraLajos Rónyai
- Topics
- Stochastic processes and statistical mechanics (17 papers)Theoretical and Computational Physics (9 papers)Markov Chains and Monte Carlo Methods (6 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Statistical Physics
- Partner nations
- HungaryUnited StatesSwitzerland
In The Last Decade
Balázs Ráth
18 papers receiving 198 citations
Peers
Comparison fields: 5 of 31
- Mathematical Physics 156
- Statistics and Probability 109
- Condensed Matter Physics 79
- Discrete Mathematics and Combinatorics 46
- Computational Theory and Mathematics 39
Countries citing papers authored by Balázs Ráth
This map shows the geographic impact of Balázs Ráth'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 Balázs Ráth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balázs Ráth more than expected).
Fields of papers citing papers by Balázs Ráth
This network shows the impact of papers produced by Balázs Ráth. 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 Balázs Ráth. The network helps show where Balázs Ráth may publish in the future.
Co-authorship network of co-authors of Balázs Ráth
This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Ráth. A scholar is included among the top collaborators of Balázs Ráth 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 Balázs Ráth. Balázs Ráth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 27 | |
| 12 | 8 | |
| 13 | 37 | |
| 14 | 11 | |
| 15 | 36 | |
| 16 | 17 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | 21 | |
| 20 | 18 |
About Balázs Ráth
Balázs Ráth is a scholar working on Mathematical Physics, Statistics and Probability and Discrete Mathematics and Combinatorics, having authored 22 papers that have together received 216 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (17 papers), Theoretical and Computational Physics (9 papers) and Markov Chains and Monte Carlo Methods (6 papers). The work is most often cited by research in Mathematical Physics (156 citations), Discrete Mathematics and Combinatorics (46 citations) and Statistics and Probability (109 citations). Balázs Ráth has collaborated with scholars based in Hungary, United States and Switzerland. Frequent co-authors include Artëm Sapozhnikov, Serguei Popov, Bálint Tóth, Carlos Hoppen, Rudini Sampaio, Yoshiharu Kohayakawa, Carlos Gustavo Moreira, Lajos Rónyai, Jean Martin and Xiangyi Meng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Statistical Physics.
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.