Alexander Clegg
Impact in
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- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
Papers in
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- Human Motion and Animation 6
- Robot Manipulation and Learning 4
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- Human Pose and Action Recognition 5
- Video Surveillance and Tracking Methods 1
- Co-authors
- C. Karen Liu (5 shared papers)Greg Turk (5 shared papers)Jie Tan (3 shared papers)Wenhao Yu (3 shared papers)David Novotný (1 shared paper)Michael Zollhoefer (1 shared paper)Mustafa Mukadam (1 shared paper)Joseph D. Ortiz (1 shared paper)
- Journals
- ACM Transactions on Graphics (2 papers)IEEE Robotics and Automation Letters (1 paper)Computer Graphics Forum (1 paper)Seoul National University Open Repository (Seoul National University) (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Alexander Clegg
11 papers receiving 255 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 135
- Computer Graphics and Computer-Aided Design 22
- Control and Systems Engineering 137
- Geology 23
- Computational Mechanics 63
Countries citing papers authored by Alexander Clegg
This map shows the geographic impact of Alexander Clegg'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 Alexander Clegg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Clegg more than expected).
Fields of papers citing papers by Alexander Clegg
This network shows the impact of papers produced by Alexander Clegg. 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 Alexander Clegg. The network helps show where Alexander Clegg may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Clegg, 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 | 2022 | 83 | |
| 2 | 2018 | 63 | |
| 3 | 2017 | 25 | |
| 4 | 2015 | 22 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 17 | |
| 7 | 2024 | 13 | |
| 8 | 2017 | 13 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 2 | |
| 11 | Religion in the Media: A Study of Student Perception of Media Bias in Georgia | 2017 | 1 |
About Alexander Clegg
Alexander Clegg is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics and Civil and Structural Engineering, having authored 11 papers that have together received 266 indexed citations. Recurring topics across this work include Human Motion and Animation (6 papers), Human Pose and Action Recognition (5 papers), Robot Manipulation and Learning (4 papers), Robotics and Sensor-Based Localization (3 papers), 3D Shape Modeling and Analysis (2 papers), Video Surveillance and Tracking Methods (1 paper), Hand Gesture Recognition Systems (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Computer Graphics and Computer-Aided Design (22 citations), Control and Systems Engineering (137 citations), Geology (23 citations) and Computational Mechanics (63 citations). Alexander Clegg has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include C. Karen Liu, Greg Turk, Jie Tan, Wenhao Yu, David Novotný, Michael Zollhoefer, Mustafa Mukadam, Joseph D. Ortiz, Jing Dong and Zackory Erickson. Their work appears in journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters, Computer Graphics Forum and Seoul National University Open Repository (Seoul National 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.