Rustam Stolkin
- Electrical and Electronic Engineering top 2%
- Mechanical Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Industrial and Manufacturing Engineering top 0.5%
- Automotive Engineering top 0.5%
- Co-authors
- Licheng JiaoRonghua ShangSimon LambertAllan WaltonRoberto SommervilleOliver HeidrichGavin HarperEmma Kendrick
- Topics
- Robot Manipulation and Learning (48 papers)Advanced Vision and Imaging (24 papers)Robotics and Sensor-Based Localization (24 papers)
- Cited by
- Industrial and Manufacturing EngineeringAutomotive EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Rustam Stolkin
189 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Electrical and Electronic Engineering 2.3k
- Mechanical Engineering 2.1k
- Computer Vision and Pattern Recognition 1.6k
- Industrial and Manufacturing Engineering 1.1k
- Automotive Engineering 1.1k
Countries citing papers authored by Rustam Stolkin
This map shows the geographic impact of Rustam Stolkin'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 Rustam Stolkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rustam Stolkin more than expected).
Fields of papers citing papers by Rustam Stolkin
This network shows the impact of papers produced by Rustam Stolkin. 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 Rustam Stolkin. The network helps show where Rustam Stolkin may publish in the future.
Co-authorship network of co-authors of Rustam Stolkin
This figure shows the co-authorship network connecting the top 25 collaborators of Rustam Stolkin. A scholar is included among the top collaborators of Rustam Stolkin 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 Rustam Stolkin. Rustam Stolkin 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 | 3 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 29 | |
| 13 | 37 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 24 | |
| 17 | 99 | |
| 18 | 123 | |
| 19 | 49 | |
| 20 | 27 |
About Rustam Stolkin
Rustam Stolkin is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Media Technology, having authored 199 papers that have together received 6.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (48 papers), Advanced Vision and Imaging (24 papers) and Robotics and Sensor-Based Localization (24 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.1k citations), Automotive Engineering (1.1k citations) and Computer Vision and Pattern Recognition (1.6k citations). Rustam Stolkin has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Licheng Jiao, Ronghua Shang, Simon Lambert, Allan Walton, Roberto Sommerville, Oliver Heidrich, Gavin Harper, Emma Kendrick, Peter R. Slater and Paul A. Anderson. Their work appears in journals such as Nature, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.
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.