Tobias Kuna
- Mathematical Physics top 5%
- Statistics and Probability top 5%
- Applied Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Condensed Matter Physics
- Co-authors
- Yuri G. KondratievValerie LivinaJoel L. LebowitzEugène R. SpeerValerio LucariniViviane BaladiYuri KondratievOleksandr Kutoviy
- Topics
- Markov Chains and Monte Carlo Methods (7 papers)Advanced Thermodynamics and Statistical Mechanics (5 papers)Point processes and geometric inequalities (5 papers)
- Journals
- Environmental Research LettersJournal of Mathematical Analysis and ApplicationsEurophysics Letters (EPL)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Tobias Kuna
32 papers receiving 222 citations
Peers
Comparison fields: 5 of 50
- Mathematical Physics 122
- Statistics and Probability 63
- Applied Mathematics 60
- Statistical and Nonlinear Physics 48
- Condensed Matter Physics 40
Countries citing papers authored by Tobias Kuna
This map shows the geographic impact of Tobias Kuna'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 Tobias Kuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Kuna more than expected).
Fields of papers citing papers by Tobias Kuna
This network shows the impact of papers produced by Tobias Kuna. 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 Tobias Kuna. The network helps show where Tobias Kuna may publish in the future.
Co-authorship network of co-authors of Tobias Kuna
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Kuna. A scholar is included among the top collaborators of Tobias Kuna 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 Tobias Kuna. Tobias Kuna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | Analytic aspects of Poissonian white noise analysis | 8 |
About Tobias Kuna
Tobias Kuna is a scholar working on Mathematical Physics, Applied Mathematics and Statistics and Probability, having authored 32 papers that have together received 241 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (7 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Point processes and geometric inequalities (5 papers). The work is most often cited by research in Mathematical Physics (122 citations), Statistics and Probability (63 citations) and Applied Mathematics (60 citations). Tobias Kuna has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Yuri G. Kondratiev, Valerie Livina, Joel L. Lebowitz, Eugène R. Speer, Valerio Lucarini, Viviane Baladi, Yuri Kondratiev, Oleksandr Kutoviy, Jochen Bröcker and Salma Kuhlmann. Their work appears in journals such as Environmental Research Letters, Journal of Mathematical Analysis and Applications and Europhysics Letters (EPL).
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.