Valery Ugrinovskii
- Control and Systems Engineering top 0.5%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- Ian R. PetersenAndrey V. SavkinH. R. PotaYi ChengLi LiEmilia FridmanCédric LangbortRobert Orsi
- Topics
- Stability and Control of Uncertain Systems (77 papers)Control Systems and Identification (33 papers)Distributed Control Multi-Agent Systems (25 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Valery Ugrinovskii
129 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 1.9k
- Computer Networks and Communications 1.0k
- Artificial Intelligence 458
- Electrical and Electronic Engineering 382
- Computational Theory and Mathematics 213
Countries citing papers authored by Valery Ugrinovskii
This map shows the geographic impact of Valery Ugrinovskii'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 Valery Ugrinovskii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valery Ugrinovskii more than expected).
Fields of papers citing papers by Valery Ugrinovskii
This network shows the impact of papers produced by Valery Ugrinovskii. 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 Valery Ugrinovskii. The network helps show where Valery Ugrinovskii may publish in the future.
Co-authorship network of co-authors of Valery Ugrinovskii
This figure shows the co-authorship network connecting the top 25 collaborators of Valery Ugrinovskii. A scholar is included among the top collaborators of Valery Ugrinovskii 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 Valery Ugrinovskii. Valery Ugrinovskii 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 | 4 | |
| 3 | Distributed H ∞ Estimation Resilient to Biasing Attacks. | 5 |
| 4 | 40 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | An infinite-horizon robust filter for uncertain hidden Markov models with conditional relative entropy constraints | 2 |
| 10 | Vector Lyapunov function approach to measurement feedback stabilization of large-scale nonlinear systems | 1 |
| 11 | 19 | |
| 12 | 0 | |
| 13 | 24 | |
| 14 | Robustness preserving interpolation of robust LQG controllers for gain-scheduling | 1 |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 3 | |
| 19 | 17 | |
| 20 | 48 |
About Valery Ugrinovskii
Valery Ugrinovskii is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 137 papers that have together received 2.6k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (77 papers), Control Systems and Identification (33 papers) and Distributed Control Multi-Agent Systems (25 papers). The work is most often cited by research in Control and Systems Engineering (1.9k citations), Computer Networks and Communications (1.0k citations) and Artificial Intelligence (458 citations). Valery Ugrinovskii has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Ian R. Petersen, Andrey V. Savkin, H. R. Pota, Yi Cheng, Li Li, Emilia Fridman, Cédric Langbort, Robert Orsi, M. J. Hossain and Myung‐Gon Yoon. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Automatica.
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.