Andriy Sarabakha
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Co-authors
- Erdal KayacanChanghong FuTufan KumbasarRobert JohnMojtaba Ahmadieh KhanesarJonathan M. GaribaldiChristian WagnerHani Hagras
- Topics
- Adaptive Control of Nonlinear Systems (9 papers)Robotic Path Planning Algorithms (9 papers)Fuzzy Logic and Control Systems (5 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition
In The Last Decade
Andriy Sarabakha
20 papers receiving 374 citations
Peers
Comparison fields: 5 of 61
- Control and Systems Engineering 190
- Artificial Intelligence 148
- Computer Vision and Pattern Recognition 86
- Aerospace Engineering 74
- Electrical and Electronic Engineering 63
Countries citing papers authored by Andriy Sarabakha
This map shows the geographic impact of Andriy Sarabakha'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 Andriy Sarabakha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andriy Sarabakha more than expected).
Fields of papers citing papers by Andriy Sarabakha
This network shows the impact of papers produced by Andriy Sarabakha. 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 Andriy Sarabakha. The network helps show where Andriy Sarabakha may publish in the future.
Co-authorship network of co-authors of Andriy Sarabakha
This figure shows the co-authorship network connecting the top 25 collaborators of Andriy Sarabakha. A scholar is included among the top collaborators of Andriy Sarabakha 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 Andriy Sarabakha. Andriy Sarabakha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 21 | |
| 12 | 32 | |
| 13 | 1 | |
| 14 | 53 | |
| 15 | 47 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 91 | |
| 19 | 10 | |
| 20 | 15 |
About Andriy Sarabakha
Andriy Sarabakha is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 23 papers that have together received 381 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (9 papers), Robotic Path Planning Algorithms (9 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (190 citations), Artificial Intelligence (148 citations) and Computer Vision and Pattern Recognition (86 citations). Andriy Sarabakha has collaborated with scholars based in Singapore, Denmark and Germany. Frequent co-authors include Erdal Kayacan, Changhong Fu, Tufan Kumbasar, Robert John, Mojtaba Ahmadieh Khanesar, Jonathan M. Garibaldi, Christian Wagner, Hani Hagras, Simon Coupland and Siddharth Patel. Their work appears in journals such as IEEE Transactions on Industrial Electronics, International Journal of Hydrogen Energy and Information Sciences.
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.