Andrey Kurenkov
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Human-Computer Interaction top 10%
- Co-authors
- Animesh GargSilvio SavareseYuke ZhuViraj MehtaLi Fei-FeiKuan FangAndrea L. ThomazBarış Akgün
- Topics
- Robot Manipulation and Learning (4 papers)AI in cancer detection (2 papers)Hand Gesture Recognition Systems (2 papers)
- Cited by
- Control and Systems EngineeringHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- The International Journal of Robotics ResearchFrontiers in Veterinary SciencearXiv (Cornell University)
- Partner nations
- KazakhstanUnited StatesSouth Korea
In The Last Decade
Andrey Kurenkov
9 papers receiving 159 citations
Peers
Comparison fields: 5 of 33
- Control and Systems Engineering 136
- Artificial Intelligence 62
- Computer Vision and Pattern Recognition 57
- Biomedical Engineering 55
- Human-Computer Interaction 27
Countries citing papers authored by Andrey Kurenkov
This map shows the geographic impact of Andrey Kurenkov'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 Andrey Kurenkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrey Kurenkov more than expected).
Fields of papers citing papers by Andrey Kurenkov
This network shows the impact of papers produced by Andrey Kurenkov. 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 Andrey Kurenkov. The network helps show where Andrey Kurenkov may publish in the future.
Co-authorship network of co-authors of Andrey Kurenkov
This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Kurenkov. A scholar is included among the top collaborators of Andrey Kurenkov 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 Andrey Kurenkov. Andrey Kurenkov 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 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. | 2 |
| 8 | 115 | |
| 9 | 23 | |
| 10 | 11 |
About Andrey Kurenkov
Andrey Kurenkov is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 10 papers that have together received 164 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), AI in cancer detection (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (136 citations), Human-Computer Interaction (27 citations) and Computer Vision and Pattern Recognition (57 citations). Andrey Kurenkov has collaborated with scholars based in Kazakhstan, United States and South Korea. Frequent co-authors include Animesh Garg, Silvio Savarese, Yuke Zhu, Viraj Mehta, Li Fei-Fei, Kuan Fang, Andrea L. Thomaz, Barış Akgün, Natasha S. Barteneva and Dmitriy Viderman. Their work appears in journals such as The International Journal of Robotics Research, Frontiers in Veterinary Science and arXiv (Cornell University).
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.