Sergiy Zhuk
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Computational Mechanics
- Co-authors
- Jonathan P. EpperleinRobert ShortenRonan A. CahillDonal F. O’SheaJason FrankSean Andrew McKennaRajesh NairTara Murphy
- Topics
- Stability and Controllability of Differential Equations (12 papers)Model Reduction and Neural Networks (10 papers)Stability and Control of Uncertain Systems (9 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaIEEE Transactions on Automatic Control
- Partner nations
- IrelandUnited StatesFrance
In The Last Decade
Sergiy Zhuk
62 papers receiving 430 citations
Peers
Comparison fields: 5 of 98
- Control and Systems Engineering 117
- Artificial Intelligence 70
- Statistical and Nonlinear Physics 64
- Electrical and Electronic Engineering 52
- Computational Mechanics 51
Countries citing papers authored by Sergiy Zhuk
This map shows the geographic impact of Sergiy Zhuk'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 Sergiy Zhuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergiy Zhuk more than expected).
Fields of papers citing papers by Sergiy Zhuk
This network shows the impact of papers produced by Sergiy Zhuk. 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 Sergiy Zhuk. The network helps show where Sergiy Zhuk may publish in the future.
Co-authorship network of co-authors of Sergiy Zhuk
This figure shows the co-authorship network connecting the top 25 collaborators of Sergiy Zhuk. A scholar is included among the top collaborators of Sergiy Zhuk 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 Sergiy Zhuk. Sergiy Zhuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 5 | |
| 20 | Reduced minimax state estimation | 5 |
About Sergiy Zhuk
Sergiy Zhuk is a scholar working on Computational Mathematics, Control and Systems Engineering and Numerical Analysis, having authored 66 papers that have together received 456 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (12 papers), Model Reduction and Neural Networks (10 papers) and Stability and Control of Uncertain Systems (9 papers). The work is most often cited by research in Numerical Analysis (36 citations), Statistical and Nonlinear Physics (64 citations) and Control and Systems Engineering (117 citations). Sergiy Zhuk has collaborated with scholars based in Ireland, United States and France. Frequent co-authors include Jonathan P. Epperlein, Robert Shorten, Ronan A. Cahill, Donal F. O’Shea, Jason Frank, Sean Andrew McKenna, Rajesh Nair, Tara Murphy, Andrey Polyakov and John Goold. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.
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.