Stephen James
Impact in
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- Robot Manipulation and Learning
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- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
Papers in
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- Robot Manipulation and Learning 9
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- Robotic Path Planning Algorithms 3
- Advanced Vision and Imaging 2
- Human Pose and Action Recognition 2
- Advanced Neural Network Applications 2
- Co-authors
- Andrew J. Davison (7 shared papers)Kentaro Wada (3 shared papers)Daniel Lenton (2 shared papers)Tristan Laidlow (2 shared papers)Michael Bloesch (1 shared paper)Pieter Abbeel (3 shared papers)Kimin Lee (1 shared paper)Kai Chen (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)2022 International Conference on Robotics and Automation (ICRA) (2 papers)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Stephen James
13 papers receiving 367 citations
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 219
- Computer Vision and Pattern Recognition 192
- Artificial Intelligence 136
- Aerospace Engineering 97
- Human-Computer Interaction 19
Countries citing papers authored by Stephen James
This map shows the geographic impact of Stephen James'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 Stephen James with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen James more than expected).
Fields of papers citing papers by Stephen James
This network shows the impact of papers produced by Stephen James. 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 Stephen James. The network helps show where Stephen James may publish in the future.
Co-authors
The 19 scholars most cited alongside Stephen James, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 176 | |
| 2 | 2020 | 72 | |
| 3 | 2022 | 38 | |
| 4 | 2022 | 17 | |
| 5 | 2018 | 17 | |
| 6 | 2024 | 16 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 |
About Stephen James
Stephen James is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence and Media Technology, having authored 14 papers that have together received 379 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Vision and Imaging (2 papers), Reinforcement Learning in Robotics (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Control and Systems Engineering (219 citations), Computer Vision and Pattern Recognition (192 citations), Artificial Intelligence (136 citations), Aerospace Engineering (97 citations) and Human-Computer Interaction (19 citations). Stephen James has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Andrew J. Davison, Kentaro Wada, Daniel Lenton, Tristan Laidlow, Michael Bloesch, Pieter Abbeel, Kimin Lee, Kai Chen, Qi Dou and Fangchen Liu. Their work appears in journals such as IEEE Robotics and Automation Letters, 2022 International Conference on Robotics and Automation (ICRA), 2022 IEEE International Conference on Image Processing (ICIP), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.