Glenn Saunders
Impact in
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- Robot Manipulation and Learning
- Iterative Learning Control Systems
- Robotic Mechanisms and Dynamics
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- Manufacturing Process and Optimization
Papers in
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- Robot Manipulation and Learning 3
- Iterative Learning Control Systems 3
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- Modular Robots and Swarm Intelligence 3
- Additive Manufacturing Materials and Processes 2
- Co-authors
- John T. Wen (9 shared papers)Shuyang Chen (3 shared papers)Michael A. Klecka (1 shared paper)Zhigang Wang (1 shared paper)A. Agung Julius (4 shared papers)Richard J. Radke (1 shared paper)Johnson Samuel (2 shared papers)Santiago Paternain (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Applied Sciences (1 paper)Applications in Engineering Science (1 paper)Scholar Works (Boise State University) (1 paper)Journal of Student Research (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Glenn Saunders
11 papers receiving 68 citations
Peers
Comparison fields: 5 of 21
- Control and Systems Engineering 44
- Industrial and Manufacturing Engineering 18
- Automotive Engineering 13
- Mechanical Engineering 38
- Computer Vision and Pattern Recognition 12
Countries citing papers authored by Glenn Saunders
This map shows the geographic impact of Glenn Saunders'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 Glenn Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn Saunders more than expected).
Fields of papers citing papers by Glenn Saunders
This network shows the impact of papers produced by Glenn Saunders. 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 Glenn Saunders. The network helps show where Glenn Saunders may publish in the future.
Co-authors
The 14 scholars most cited alongside Glenn Saunders, 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 | 23 | |
| 2 | 2022 | 9 | |
| 3 | 2023 | 8 | |
| 4 | 2021 | 7 | |
| 5 | 2025 | 6 | |
| 6 | 2025 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2018 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2007 | 1 | |
| 11 | 2009 | 1 | |
| 12 | 2022 | 0 |
About Glenn Saunders
Glenn Saunders is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 12 papers that have together received 71 indexed citations. Recurring topics across this work include Soft Robotics and Applications (3 papers), Robot Manipulation and Learning (3 papers), Modular Robots and Swarm Intelligence (3 papers), Iterative Learning Control Systems (3 papers), Innovations in Concrete and Construction Materials (2 papers), Advanced Vision and Imaging (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Control and Systems Engineering (44 citations), Industrial and Manufacturing Engineering (18 citations), Automotive Engineering (13 citations), Mechanical Engineering (38 citations) and Computer Vision and Pattern Recognition (12 citations). Glenn Saunders has collaborated with scholars based in United States and South Korea. Frequent co-authors include John T. Wen, Shuyang Chen, Michael A. Klecka, Zhigang Wang, A. Agung Julius, Richard J. Radke, Johnson Samuel, Santiago Paternain, Jeff Trinkle and Elisa H. Barney Smith. Their work appears in journals such as IEEE Robotics and Automation Letters, Applied Sciences, Applications in Engineering Science, Scholar Works (Boise State University) and Journal of Student Research.
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.