Valentin Konakov
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
Papers in
-
- Statistical Methods and Inference 7
- Markov Chains and Monte Carlo Methods 4
- Fuzzy Systems and Optimization 2
- Finance 12
- Stochastic processes and financial applications 11
- Financial Risk and Volatility Modeling 4
- Co-authors
- Enno Mammen (6 shared papers)Stéphane Menozzi (9 shared papers)V. I. Piterbarg (4 shared papers)Stanislav Molchanov (1 shared paper)Jeannette H. C. Woerner (1 shared paper)Mark Kelbert (1 shared paper)
In The Last Decade
Valentin Konakov
29 papers receiving 247 citations
Peers
Comparison fields: 5 of 36
- Statistics and Probability 132
- Finance 135
- Modeling and Simulation 24
- Numerical Analysis 28
- Mathematical Physics 46
Countries citing papers authored by Valentin Konakov
This map shows the geographic impact of Valentin Konakov'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 Valentin Konakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Konakov more than expected).
Fields of papers citing papers by Valentin Konakov
This network shows the impact of papers produced by Valentin Konakov. 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 Valentin Konakov. The network helps show where Valentin Konakov may publish in the future.
Co-authors
The 6 scholars most cited alongside Valentin Konakov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 39 | |
| 2 | 2010 | 31 | |
| 3 | 2002 | 28 | |
| 4 | 1974 | 27 | |
| 5 | 2000 | 26 | |
| 6 | 2010 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 1978 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 1998 | 9 | |
| 11 | 1983 | 9 | |
| 12 | 1984 | 9 | |
| 13 | 1973 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 1979 | 5 | |
| 16 | High level excursions of Gaussian fields and the weakly optimal choice of the smoothing parameter I | 1995 | 3 |
| 17 | 2016 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2007 | 3 |
About Valentin Konakov
Valentin Konakov is a scholar working on Statistics and Probability, Finance, Mathematical Physics, Computational Theory and Mathematics and Modeling and Simulation, having authored 33 papers that have together received 277 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Stochastic processes and statistical mechanics (8 papers), Statistical Methods and Inference (7 papers), Mathematical Biology Tumor Growth (4 papers), Markov Chains and Monte Carlo Methods (4 papers), Financial Risk and Volatility Modeling (4 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Fuzzy Systems and Optimization (2 papers). The work is most often cited by research in Statistics and Probability (132 citations), Finance (135 citations), Modeling and Simulation (24 citations), Numerical Analysis (28 citations) and Mathematical Physics (46 citations). Valentin Konakov has collaborated with scholars based in Russia, France and Germany. Frequent co-authors include Enno Mammen, Stéphane Menozzi, V. I. Piterbarg, Stanislav Molchanov, Jeannette H. C. Woerner and Mark Kelbert. Their work appears in journals such as Bernoulli, Extremes, Stochastic Processes and their Applications, Journal of Multivariate Analysis and Probability Theory and Related Fields.
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.