Yu. M. Suhov
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 5%
- Condensed Matter Physics top 10%
- Computer Networks and Communications top 10%
- Management Information Systems top 5%
- Co-authors
- P. AlgoetAbraham J. WynerIoannis KontoyiannisA. MazelJean MartinR. A. MinlosA. PellegrinottiR. L. Dobrushin
- Topics
- Stochastic processes and statistical mechanics (14 papers)Theoretical and Computational Physics (10 papers)Advanced Queuing Theory Analysis (8 papers)
- Journals
- IEEE Transactions on Information TheoryCommunications in Mathematical PhysicsAnnals of Physics
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
Yu. M. Suhov
33 papers receiving 477 citations
Peers
Comparison fields: 5 of 80
- Mathematical Physics 169
- Statistical and Nonlinear Physics 119
- Condensed Matter Physics 96
- Computer Networks and Communications 90
- Management Information Systems 87
Countries citing papers authored by Yu. M. Suhov
This map shows the geographic impact of Yu. M. Suhov'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 Yu. M. Suhov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. M. Suhov more than expected).
Fields of papers citing papers by Yu. M. Suhov
This network shows the impact of papers produced by Yu. M. Suhov. 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 Yu. M. Suhov. The network helps show where Yu. M. Suhov may publish in the future.
Co-authorship network of co-authors of Yu. M. Suhov
This figure shows the co-authorship network connecting the top 25 collaborators of Yu. M. Suhov. A scholar is included among the top collaborators of Yu. M. Suhov 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 Yu. M. Suhov. Yu. M. Suhov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | Markov Chains : a primer in random processes and their applications | 10 |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 27 | |
| 7 | 13 | |
| 8 | Large deviations in some queueing systems | 2 |
| 9 | 23 | |
| 10 | 10 | |
| 11 | 43 | |
| 12 | 163 | |
| 13 | 8 | |
| 14 | 13 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 21 |
About Yu. M. Suhov
Yu. M. Suhov is a scholar working on Mathematical Physics, Management Information Systems and Condensed Matter Physics, having authored 36 papers that have together received 531 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (14 papers), Theoretical and Computational Physics (10 papers) and Advanced Queuing Theory Analysis (8 papers). The work is most often cited by research in Mathematical Physics (169 citations), Transportation (69 citations) and Management Information Systems (87 citations). Yu. M. Suhov has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include P. Algoet, Abraham J. Wyner, Ioannis Kontoyiannis, A. Mazel, Jean Martin, R. A. Minlos, A. Pellegrinotti, R. L. Dobrushin, Mark Kelbert and Vitaly Volpert. Their work appears in journals such as IEEE Transactions on Information Theory, Communications in Mathematical Physics and Annals of Physics.
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.