Zakhar Kabluchko
- Finance top 2%
- Statistics and Probability top 2%
- Mathematical Physics top 5%
- Global and Planetary Change top 10%
- Applied Mathematics top 5%
- Co-authors
- Martin SchlatherLaurens de HaanSebastian EngelkeDmitry ZaporozhetsChristoph ThäleMarco OestingClément DombryStilian Stoev
- Topics
- Stochastic processes and statistical mechanics (33 papers)Point processes and geometric inequalities (28 papers)Stochastic processes and financial applications (15 papers)
In The Last Decade
Zakhar Kabluchko
69 papers receiving 725 citations
Peers
Comparison fields: 5 of 60
- Finance 356
- Statistics and Probability 235
- Mathematical Physics 221
- Global and Planetary Change 160
- Applied Mathematics 112
Countries citing papers authored by Zakhar Kabluchko
This map shows the geographic impact of Zakhar Kabluchko'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 Zakhar Kabluchko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zakhar Kabluchko more than expected).
Fields of papers citing papers by Zakhar Kabluchko
This network shows the impact of papers produced by Zakhar Kabluchko. 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 Zakhar Kabluchko. The network helps show where Zakhar Kabluchko may publish in the future.
Co-authorship network of co-authors of Zakhar Kabluchko
This figure shows the co-authorship network connecting the top 25 collaborators of Zakhar Kabluchko. A scholar is included among the top collaborators of Zakhar Kabluchko 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 Zakhar Kabluchko. Zakhar Kabluchko 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | Mode and Edgeworth Expansion for the Ewens Distribution and the Stirling Numbers | 2 |
| 12 | 6 | |
| 13 | 12 | |
| 14 | Intrinsic volumes of Sobolev balls | 2 |
| 15 | 2 | |
| 16 | Minimal spectral representations of infinitely divisible and max-infinitely divisible processes | 3 |
| 17 | 17 | |
| 18 | 27 | |
| 19 | 10 | |
| 20 | An Erdös-Rényi law for mixing processes | 8 |
About Zakhar Kabluchko
Zakhar Kabluchko is a scholar working on Mathematical Physics, Applied Mathematics and Statistics and Probability, having authored 85 papers that have together received 770 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (33 papers), Point processes and geometric inequalities (28 papers) and Stochastic processes and financial applications (15 papers). The work is most often cited by research in Finance (356 citations), Statistics and Probability (235 citations) and Mathematical Physics (221 citations). Zakhar Kabluchko has collaborated with scholars based in Germany, Ukraine and Russia. Frequent co-authors include Martin Schlather, Laurens de Haan, Sebastian Engelke, Dmitry Zaporozhets, Christoph Thäle, Marco Oesting, Clément Dombry, Stilian Stoev, Axel Munk and Enkelejd Hashorva. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.
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.