Valentin Konakov

463 total citations
31 papers, 274 citations indexed

About

Valentin Konakov is a scholar working on Statistics and Probability, Finance and Mathematical Physics. According to data from OpenAlex, Valentin Konakov has authored 31 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 12 papers in Finance and 9 papers in Mathematical Physics. Recurrent topics in Valentin Konakov's work include Stochastic processes and financial applications (11 papers), Statistical Methods and Inference (7 papers) and Stochastic processes and statistical mechanics (7 papers). Valentin Konakov is often cited by papers focused on Stochastic processes and financial applications (11 papers), Statistical Methods and Inference (7 papers) and Stochastic processes and statistical mechanics (7 papers). Valentin Konakov collaborates with scholars based in Russia, Germany and France. Valentin Konakov's co-authors include Enno Mammen, Stéphane Menozzi, V. I. Piterbarg, Stanislav Molchanov, Jeannette H. C. Woerner and Mark Kelbert and has published in prestigious journals such as Probability Theory and Related Fields, Journal of Multivariate Analysis and Stochastic Processes and their Applications.

In The Last Decade

Valentin Konakov

28 papers receiving 244 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Valentin Konakov Russia 10 133 132 51 45 43 31 274
Marina Kleptsyna France 12 412 3.1× 138 1.0× 43 0.8× 84 1.9× 50 1.2× 48 536
R. N. Pillai India 9 123 0.9× 173 1.3× 49 1.0× 54 1.2× 14 0.3× 14 364
James Kuelbs United States 11 155 1.2× 86 0.7× 60 1.2× 154 3.4× 52 1.2× 22 354
V. Bally France 8 434 3.3× 70 0.5× 65 1.3× 74 1.6× 72 1.7× 11 515
Rimas Norvaiša Lithuania 8 133 1.0× 55 0.4× 59 1.2× 81 1.8× 15 0.3× 36 262
Ely Merzbach Israel 11 118 0.9× 69 0.5× 136 2.7× 107 2.4× 41 1.0× 48 329
Harry van Zanten Netherlands 12 166 1.2× 177 1.3× 15 0.3× 38 0.8× 32 0.7× 37 374
Abhay G. Bhatt India 9 156 1.2× 52 0.4× 30 0.6× 79 1.8× 55 1.3× 20 267
Fuqing Gao China 11 276 2.1× 123 0.9× 101 2.0× 135 3.0× 33 0.8× 56 464
Stefan Tappe Germany 10 350 2.6× 60 0.5× 36 0.7× 73 1.6× 38 0.9× 32 403

Countries citing papers authored by Valentin Konakov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Valentin Konakov

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Konakov. A scholar is included among the top collaborators of Valentin Konakov 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 Valentin Konakov. Valentin Konakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Konakov, Valentin, et al.. (2021). L 1 and L ∞ stability of transition densities of perturbed diffusions. Random Operators and Stochastic Equations. 29(4). 287–308. 2 indexed citations
2.
Konakov, Valentin, et al.. (2017). Nonlinear trend exclusion procedure for models defined by stochastic differential and difference equations. Automation and Remote Control. 78(8). 1438–1448. 1 indexed citations
3.
Konakov, Valentin & Stéphane Menozzi. (2017). Weak error for the Euler scheme approximation of diffusions with non-smooth coefficients. Electronic Journal of Probability. 22(none). 12 indexed citations
4.
Konakov, Valentin, et al.. (2016). Stability of Densities for Perturbed Diffusions and Markov Chains. ESAIM Probability and Statistics. 21. 88–112. 7 indexed citations
5.
Konakov, Valentin, et al.. (2016). Sup-norm convergence rates for Lévy density estimation. Extremes. 19(3). 371–403. 3 indexed citations
6.
Kelbert, Mark, Valentin Konakov, & Stéphane Menozzi. (2015). Weak error for Continuous Time Markov Chains related to fractional in time P(I)DEs. Stochastic Processes and their Applications. 126(4). 1145–1183. 3 indexed citations
7.
Konakov, Valentin, et al.. (2015). Linear trend exclusion for models defined with stochastic differential and difference equations. Automation and Remote Control. 76(10). 1771–1783. 3 indexed citations
8.
Konakov, Valentin, Enno Mammen, & Jeannette H. C. Woerner. (2014). Statistical convergence of Markov experiments to diffusion limits. Bernoulli. 20(2). 2 indexed citations
9.
Konakov, Valentin, Stéphane Menozzi, & Stanislav Molchanov. (2011). Diffusion processes on solvable groups of upper triangular 2×2 matrices and their approximation. Doklady Mathematics. 84(1). 527–530. 2 indexed citations
10.
Konakov, Valentin, et al.. (2010). Explicit parametrix and local limit theorems for some degenerate diffusion processes. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 46(4). 31 indexed citations
11.
Konakov, Valentin & Stéphane Menozzi. (2010). Weak Error for Stable Driven Stochastic Differential Equations: Expansion of the Densities. Journal of Theoretical Probability. 24(2). 454–478. 15 indexed citations
12.
Konakov, Valentin & Enno Mammen. (2002). Edgeworth type expansions for Euler schemes for stochastic differential equations.. Monte Carlo Methods and Applications. 8(3). 28 indexed citations
13.
Konakov, Valentin, et al.. (1998). Nonparametric Versus Parametric Goodness of Fit. Statistics. 31(2). 115–149. 9 indexed citations
14.
Konakov, Valentin, et al.. (1995). High level excursions of Gaussian fields and the weakly optimal choice of the smoothing parameter I. Mathematical Methods of Statistics. 4. 3 indexed citations
15.
Konakov, Valentin & V. I. Piterbarg. (1984). On the convergence rate of maximal deviation distribution for kernel regression estimates. Journal of Multivariate Analysis. 15(3). 279–294. 39 indexed citations
16.
Konakov, Valentin & V. I. Piterbarg. (1983). Convergence Rate of Maximum Deviation Distributions of Gaussian Processes and Empirical Densities. I. Theory of Probability and Its Applications. 27(4). 759–779. 9 indexed citations
17.
Konakov, Valentin. (1978). On a Global Measure of Deviation for an Estimate of the Regression Line. Theory of Probability and Its Applications. 22(4). 858–868. 10 indexed citations
18.
Konakov, Valentin. (1974). Some Hajek-Rènyi Type Inequalities. Theory of Probability and Its Applications. 18(2). 393–394. 1 indexed citations
19.
Konakov, Valentin. (1973). Non-Parametric Estimation of Density Functions. Theory of Probability and Its Applications. 17(2). 361–362. 7 indexed citations
20.
Konakov, Valentin. (1973). Asymptotic properties of some functions of nonparametric estimates of a density function. Journal of Multivariate Analysis. 3(4). 454–468. 1 indexed citations

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.

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