Denis Belomestny
- Finance top 2%
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Co-authors
- John SchoenmakersMarkus ReißChristian BenderFabienne ComteValentine Genon‐CatalotVladimir SpokoinyGrigori N. MilsteinVolker Krätschmer
- Topics
- Stochastic processes and financial applications (45 papers)Statistical Methods and Inference (19 papers)Financial Risk and Volatility Modeling (13 papers)
In The Last Decade
Denis Belomestny
69 papers receiving 478 citations
Peers
Comparison fields: 5 of 60
- Finance 334
- Management Science and Operations Research 130
- Statistics and Probability 126
- Economics and Econometrics 74
- Artificial Intelligence 53
Countries citing papers authored by Denis Belomestny
This map shows the geographic impact of Denis Belomestny'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 Denis Belomestny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Belomestny more than expected).
Fields of papers citing papers by Denis Belomestny
This network shows the impact of papers produced by Denis Belomestny. 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 Denis Belomestny. The network helps show where Denis Belomestny may publish in the future.
Co-authorship network of co-authors of Denis Belomestny
This figure shows the co-authorship network connecting the top 25 collaborators of Denis Belomestny. A scholar is included among the top collaborators of Denis Belomestny 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 Denis Belomestny. Denis Belomestny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Variance reduction via empirical variance minimization: convergence and complexity | 5 |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | Statistical inference for multidimensional time-changed L\'evy processes based on low-frequency data | 1 |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 1 |
About Denis Belomestny
Denis Belomestny is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research, having authored 79 papers that have together received 510 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (45 papers), Statistical Methods and Inference (19 papers) and Financial Risk and Volatility Modeling (13 papers). The work is most often cited by research in Finance (334 citations), Statistics and Probability (126 citations) and Management Science and Operations Research (130 citations). Denis Belomestny has collaborated with scholars based in Germany, Russia and France. Frequent co-authors include John Schoenmakers, Markus Reiß, Christian Bender, Fabienne Comte, Valentine Genon‐Catalot, Vladimir Spokoiny, Grigori N. Milstein, Volker Krätschmer, Alexey Naumov and Sergey Samsonov. Their work appears in journals such as The Journal of the Acoustical Society of America, The Annals of Statistics and Neural Networks.
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.