Oleg Seleznjev
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Finance top 10%
- Artificial Intelligence
- Statistics and Probability top 10%
- Co-authors
- Erik ElmrothV. I. PiterbargBernhard ThalheimJohan TordssonNikolai LeonenkoJ. HüslerEddie WadbroAhmed Ali-Eldin
- Topics
- Mathematical Approximation and Integration (10 papers)Stochastic processes and financial applications (6 papers)Data Management and Algorithms (6 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsTheoretical Computer ScienceJournal of Applied Probability
- Partner nations
- SwedenRussiaUnited Kingdom
In The Last Decade
Oleg Seleznjev
30 papers receiving 258 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 105
- Information Systems 79
- Finance 78
- Artificial Intelligence 52
- Statistics and Probability 46
Countries citing papers authored by Oleg Seleznjev
This map shows the geographic impact of Oleg Seleznjev'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 Oleg Seleznjev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Seleznjev more than expected).
Fields of papers citing papers by Oleg Seleznjev
This network shows the impact of papers produced by Oleg Seleznjev. 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 Oleg Seleznjev. The network helps show where Oleg Seleznjev may publish in the future.
Co-authorship network of co-authors of Oleg Seleznjev
This figure shows the co-authorship network connecting the top 25 collaborators of Oleg Seleznjev. A scholar is included among the top collaborators of Oleg Seleznjev 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 Oleg Seleznjev. Oleg Seleznjev 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 | 10 | |
| 3 | 4 | |
| 4 | 29 | |
| 5 | 0 | |
| 6 | Uniform and non-uniform quantization of Gaussian processes | 2 |
| 7 | 14 | |
| 8 | 5 | |
| 9 | On the error of the Monte Carlo pricing method for Asian option | 1 |
| 10 | Random databases and -entropy | 1 |
| 11 | 5 | |
| 12 | 7 | |
| 13 | On weak convergence of functionals on smooth random functions | 2 |
| 14 | 17 | |
| 15 | Functional dependencies in random databases | 2 |
| 16 | 10 | |
| 17 | 3 | |
| 18 | Linear interpolation of random processes and extremes of a sequence of Gaussian nonstationary processes | 5 |
| 19 | 10 | |
| 20 | 13 |
About Oleg Seleznjev
Oleg Seleznjev is a scholar working on Numerical Analysis, Finance and Signal Processing, having authored 35 papers that have together received 274 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (10 papers), Stochastic processes and financial applications (6 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Finance (78 citations), Numerical Analysis (31 citations) and Statistics and Probability (46 citations). Oleg Seleznjev has collaborated with scholars based in Sweden, Russia and United Kingdom. Frequent co-authors include Erik Elmroth, V. I. Piterbarg, Bernhard Thalheim, Johan Tordsson, Nikolai Leonenko, J. Hüsler, Eddie Wadbro, Ahmed Ali-Eldin, John Wilkes and Ali Rezaie. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Theoretical Computer Science and Journal of Applied Probability.
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.