Vsevolod Shneer
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Co-authors
- M.C.F. DonkersW.P.M.H. HeemelsAlberto BemporadDaniele BernardiniDavid CorneAnna V. KononovaFabio CaraffiniPhilippe De Wilde
- Topics
- Probability and Risk Models (8 papers)Stochastic processes and statistical mechanics (6 papers)Stochastic processes and financial applications (4 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsComputational Theory and Mathematics
- Partner nations
- United KingdomRussiaNetherlands
In The Last Decade
Vsevolod Shneer
15 papers receiving 315 citations
Peers
Comparison fields: 5 of 52
- Control and Systems Engineering 193
- Computer Networks and Communications 133
- Computational Theory and Mathematics 81
- Artificial Intelligence 65
- Management Science and Operations Research 48
Countries citing papers authored by Vsevolod Shneer
This map shows the geographic impact of Vsevolod Shneer'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 Vsevolod Shneer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vsevolod Shneer more than expected).
Fields of papers citing papers by Vsevolod Shneer
This network shows the impact of papers produced by Vsevolod Shneer. 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 Vsevolod Shneer. The network helps show where Vsevolod Shneer may publish in the future.
Co-authorship network of co-authors of Vsevolod Shneer
This figure shows the co-authorship network connecting the top 25 collaborators of Vsevolod Shneer. A scholar is included among the top collaborators of Vsevolod Shneer 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 Vsevolod Shneer. Vsevolod Shneer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 60 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 178 | |
| 8 | An alternating risk reserve process - Part II | 2 |
| 9 | 28 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | Estimates for distributions of sums of random variables with subexponential distributions. | 5 |
About Vsevolod Shneer
Vsevolod Shneer is a scholar working on Mathematical Physics, Management Science and Operations Research and Finance, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Probability and Risk Models (8 papers), Stochastic processes and statistical mechanics (6 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Control and Systems Engineering (193 citations), Computer Networks and Communications (133 citations) and Computational Theory and Mathematics (81 citations). Vsevolod Shneer has collaborated with scholars based in United Kingdom, Russia and Netherlands. Frequent co-authors include M.C.F. Donkers, W.P.M.H. Heemels, Alberto Bemporad, Daniele Bernardini, David Corne, Anna V. Kononova, Fabio Caraffini, Philippe De Wilde, Denis Denisov and Ken R. Duffy. Their work appears in journals such as Automatica, Information Sciences and Journal of Economic Theory.
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.