Matthew E. Argyle
Impact in
- Aerospace Engineering top 5%
- UAV Applications and Optimization
- Guidance and Control Systems
- Robotics and Sensor-Based Localization
- Aerospace and Aviation Technology
- Aerospace Engineering and Control Systems
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- Robotic Path Planning Algorithms
Papers in
-
- Aerospace and Aviation Technology 4
- Inertial Sensor and Navigation 2
- Guidance and Control Systems 2
- Air Traffic Management and Optimization 2
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- Real-time simulation and control systems 3
- Adaptive Control of Nonlinear Systems 3
- Co-authors
- Randal W. Beard (8 shared papers)Huili Yu (2 shared papers)Kevin Meier (1 shared paper)Randy Beard (2 shared papers)David W. Casbeer (2 shared papers)Timothy W. McLain (3 shared papers)Bradley C. Bundy (1 shared paper)Dennis Della Corte (1 shared paper)
- Journals
- IEEE/ASME Transactions on Mechatronics (1 paper)SHILAP Revista de lepidopterología (1 paper)ScholarsArchive (Brigham Young University) (3 papers)
- Partner nations
- United States
In The Last Decade
Matthew E. Argyle
12 papers receiving 296 citations
Peers
Comparison fields: 5 of 31
- Aerospace Engineering 212
- Computer Vision and Pattern Recognition 162
- Computer Networks and Communications 116
- Control and Systems Engineering 75
- Automotive Engineering 26
Countries citing papers authored by Matthew E. Argyle
This map shows the geographic impact of Matthew E. Argyle'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 Matthew E. Argyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Argyle more than expected).
Fields of papers citing papers by Matthew E. Argyle
This network shows the impact of papers produced by Matthew E. Argyle. 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 Matthew E. Argyle. The network helps show where Matthew E. Argyle may publish in the future.
Co-authors
The 8 scholars most cited alongside Matthew E. Argyle, 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 | 2014 | 166 | |
| 2 | 2011 | 38 | |
| 3 | 2013 | 20 | |
| 4 | 2011 | 19 | |
| 5 | 2014 | 14 | |
| 6 | 2016 | 13 | |
| 7 | 2016 | 8 | |
| 8 | 2011 | 8 | |
| 9 | 2014 | 7 | |
| 10 | 2011 | 3 | |
| 11 | 2014 | 2 | |
| 12 | 2025 | 1 |
About Matthew E. Argyle
Matthew E. Argyle is a scholar working on Aerospace Engineering, Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Aerospace and Aviation Technology (4 papers), Distributed Control Multi-Agent Systems (4 papers), Robotic Path Planning Algorithms (4 papers), Real-time simulation and control systems (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Inertial Sensor and Navigation (2 papers), Guidance and Control Systems (2 papers) and Air Traffic Management and Optimization (2 papers). The work is most often cited by research in Aerospace Engineering (212 citations), Computer Vision and Pattern Recognition (162 citations), Computer Networks and Communications (116 citations), Control and Systems Engineering (75 citations) and Automotive Engineering (26 citations). Matthew E. Argyle has collaborated with scholars based in United States. Frequent co-authors include Randal W. Beard, Huili Yu, Kevin Meier, Randy Beard, David W. Casbeer, Timothy W. McLain, Bradley C. Bundy and Dennis Della Corte. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, SHILAP Revista de lepidopterología and ScholarsArchive (Brigham Young 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.