Matthew E. Argyle
Impact in
- Aerospace Engineering top 5%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Guidance and Control Systems
- Aerospace and Aviation Technology
- Aerospace Engineering and Control Systems
-
- Robotic Path Planning Algorithms
Papers in
-
- Aerospace and Aviation Technology 4
- Air Traffic Management and Optimization 2
- Guidance and Control Systems 2
-
- Distributed Control Multi-Agent Systems 5
- Co-authors
- Randal W. Beard (9 shared papers)Huili Yu (2 shared papers)Kevin Meier (1 shared paper)David W. Casbeer (3 shared papers)Randy Beard (2 shared papers)Timothy W. McLain (3 shared papers)Dennis Della Corte (1 shared paper)Bradley C. Bundy (1 shared paper)
- Journals
- IEEE/ASME Transactions on Mechatronics (1 paper)ScholarsArchive (Brigham Young University) (3 papers)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United States
In The Last Decade
Matthew E. Argyle
13 papers receiving 324 citations
Peers
Comparison fields: 5 of 32
- Aerospace Engineering 233
- Computer Vision and Pattern Recognition 180
- Computer Networks and Communications 127
- Control and Systems Engineering 79
- Automotive Engineering 27
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 | 180 | |
| 2 | 2011 | 42 | |
| 3 | 2011 | 22 | |
| 4 | 2013 | 21 | |
| 5 | 2014 | 15 | |
| 6 | 2016 | 13 | |
| 7 | 2016 | 9 | |
| 8 | 2011 | 9 | |
| 9 | 2014 | 7 | |
| 10 | 2011 | 3 | |
| 11 | 2014 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2014 | 2 |
About Matthew E. Argyle
Matthew E. Argyle is a scholar working on Aerospace Engineering, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (5 papers), Aerospace and Aviation Technology (4 papers), Robotic Path Planning Algorithms (4 papers), Real-time simulation and control systems (3 papers), Multi-Agent Systems and Negotiation (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Air Traffic Management and Optimization (2 papers) and Guidance and Control Systems (2 papers). The work is most often cited by research in Aerospace Engineering (233 citations), Computer Vision and Pattern Recognition (180 citations), Computer Networks and Communications (127 citations), Control and Systems Engineering (79 citations) and Automotive Engineering (27 citations). Matthew E. Argyle has collaborated with scholars based in United States. Frequent co-authors include Randal W. Beard, Huili Yu, Kevin Meier, David W. Casbeer, Randy Beard, Timothy W. McLain, Dennis Della Corte and Bradley C. Bundy. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, ScholarsArchive (Brigham Young University) and DOAJ (DOAJ: Directory of Open Access Journals).
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.