Dmitry Yukhimets
Impact in
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
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- Engineering Technology and Methodologies
Papers in
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- Robotic Mechanisms and Dynamics 11
- Adaptive Control of Nonlinear Systems 8
- Advanced Data Processing Techniques 8
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- Robotic Path Planning Algorithms 16
- Co-authors
- Vladimir Filaretov (39 shared papers)Chang Liu (1 shared paper)Zhuo Chen (1 shared paper)Alexander Zuev (10 shared papers)Chang Liu (3 shared papers)Valeriya Gribova (1 shared paper)
In The Last Decade
Dmitry Yukhimets
46 papers receiving 261 citations
Dmitry Yukhimets's Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 113
- Industrial and Manufacturing Engineering 47
- Control and Systems Engineering 104
- Ocean Engineering 69
- Aerospace Engineering 86
Countries citing papers authored by Dmitry Yukhimets
This map shows the geographic impact of Dmitry Yukhimets'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 Dmitry Yukhimets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Yukhimets more than expected).
Fields of papers citing papers by Dmitry Yukhimets
This network shows the impact of papers produced by Dmitry Yukhimets. 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 Dmitry Yukhimets. The network helps show where Dmitry Yukhimets may publish in the future.
Co-authors
The 6 scholars most cited alongside Dmitry Yukhimets, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-Scale Ship Detection Algorithm Based on YOLOv7 for Complex Scene SAR Images Hit paper breakdown → | 2023 | 96 |
| 2 | 2015 | 13 | |
| 3 | 2012 | 12 | |
| 4 | 2016 | 12 | |
| 5 | 2010 | 11 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2014 | 8 | |
| 9 | 2011 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2010 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2016 | 5 |
About Dmitry Yukhimets
Dmitry Yukhimets is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 55 papers that have together received 285 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (16 papers), Underwater Vehicles and Communication Systems (11 papers), Robotic Mechanisms and Dynamics (11 papers), Mathematical Control Systems and Analysis (10 papers), Manufacturing Process and Optimization (9 papers), Adaptive Control of Nonlinear Systems (8 papers), Advanced Data Processing Techniques (8 papers) and Aerospace Engineering and Control Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Industrial and Manufacturing Engineering (47 citations), Control and Systems Engineering (104 citations), Ocean Engineering (69 citations) and Aerospace Engineering (86 citations). Dmitry Yukhimets has collaborated with scholars based in Russia, China and Serbia. Frequent co-authors include Vladimir Filaretov, Chang Liu, Zhuo Chen, Alexander Zuev, Chang Liu and Valeriya Gribova. Their work appears in journals such as Drones, Robotics and Autonomous Systems, Remote Sensing, Sensors and Journal of Computer and Systems Sciences International.
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.