E. Pechersky
- Ocean Engineering top 2%
- Environmental Engineering top 5%
- Media Technology top 2%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Co-authors
- J.-F. ManginJean‐Marie NicolasHenri Maı̂treFlorence TupinR. L. DobrushinXavier DescombesYu. M. SuhovYuri Suhov
- Topics
- Stochastic processes and statistical mechanics (10 papers)Advanced Queuing Theory Analysis (6 papers)Markov Chains and Monte Carlo Methods (5 papers)
In The Last Decade
E. Pechersky
21 papers receiving 384 citations
Peers
Comparison fields: 5 of 63
- Ocean Engineering 264
- Environmental Engineering 206
- Media Technology 139
- Computer Vision and Pattern Recognition 124
- Aerospace Engineering 61
Countries citing papers authored by E. Pechersky
This map shows the geographic impact of E. Pechersky'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 E. Pechersky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Pechersky more than expected).
Fields of papers citing papers by E. Pechersky
This network shows the impact of papers produced by E. Pechersky. 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 E. Pechersky. The network helps show where E. Pechersky may publish in the future.
Co-authorship network of co-authors of E. Pechersky
This figure shows the co-authorship network connecting the top 25 collaborators of E. Pechersky. A scholar is included among the top collaborators of E. Pechersky 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 E. Pechersky. E. Pechersky 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 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | On large deviations in queuing systems | 1 |
| 15 | Isotropic Properties of Some Multi-body Interaction Models: Two Quality Criteria for Markov Priors in Image Processing | 1 |
| 16 | 9 | |
| 17 | 333 | |
| 18 | 10 | |
| 19 | 13 | |
| 20 | 17 |
About E. Pechersky
E. Pechersky is a scholar working on Mathematical Physics, Statistics and Probability and Management Information Systems, having authored 24 papers that have together received 427 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (10 papers), Advanced Queuing Theory Analysis (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). The work is most often cited by research in Ocean Engineering (264 citations), Media Technology (139 citations) and Environmental Engineering (206 citations). E. Pechersky has collaborated with scholars based in Russia, Brazil and France. Frequent co-authors include J.-F. Mangin, Jean‐Marie Nicolas, Henri Maı̂tre, Florence Tupin, R. L. Dobrushin, Xavier Descombes, Yu. M. Suhov, Yuri Suhov, Anatoly Yambartsev and Pablo A. Ferrari. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Communications in Mathematical Physics and Journal of Statistical 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.