M. John D. Hayes
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Mechanical Engineering
- Aerospace Engineering
- Co-authors
- Robert LangloisPaul Zsombor-MurrayManfred HustyJoshua A. MarshallMojtaba AhmadiAdrian D. C. ChanJames RobinsonM. I. Smith
- Topics
- Robotic Mechanisms and Dynamics (30 papers)Dynamics and Control of Mechanical Systems (11 papers)Robotic Path Planning Algorithms (8 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionBiomedical Engineering
- Journals
- Bulletin of the American Meteorological SocietyIEEE Transactions on RoboticsSIAM Journal on Control and Optimization
- Partner nations
- CanadaAustriaUnited States
In The Last Decade
M. John D. Hayes
41 papers receiving 266 citations
Peers
Comparison fields: 5 of 58
- Control and Systems Engineering 197
- Computer Vision and Pattern Recognition 77
- Biomedical Engineering 76
- Mechanical Engineering 61
- Aerospace Engineering 32
Countries citing papers authored by M. John D. Hayes
This map shows the geographic impact of M. John D. Hayes'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 M. John D. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. John D. Hayes more than expected).
Fields of papers citing papers by M. John D. Hayes
This network shows the impact of papers produced by M. John D. Hayes. 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 M. John D. Hayes. The network helps show where M. John D. Hayes may publish in the future.
Co-authorship network of co-authors of M. John D. Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of M. John D. Hayes. A scholar is included among the top collaborators of M. John D. Hayes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. John D. Hayes. M. John D. Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 12 | |
| 19 | Largest Ellipse Inscribing an Arbitrary Polygon | 1 |
| 20 | 13 |
About M. John D. Hayes
M. John D. Hayes is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Architecture, having authored 45 papers that have together received 289 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (30 papers), Dynamics and Control of Mechanical Systems (11 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Control and Systems Engineering (197 citations), Computer Vision and Pattern Recognition (77 citations) and Biomedical Engineering (76 citations). M. John D. Hayes has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Robert Langlois, Paul Zsombor-Murray, Manfred Husty, Joshua A. Marshall, Mojtaba Ahmadi, Adrian D. C. Chan, James Robinson, M. I. Smith, Pauline Croft and Trevor Pearce. Their work appears in journals such as Bulletin of the American Meteorological Society, IEEE Transactions on Robotics and SIAM Journal on Control and Optimization.
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.