Stephen G. McGill
- Automotive Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Guy RosmanXin HuangBrian WilliamsLuke FletcherJohn J. LeonardDaniel D. LeeSeung‐Joon YiJonathan DeCastro
- Topics
- Robotic Locomotion and Control (8 papers)Prosthetics and Rehabilitation Robotics (7 papers)Traffic and Road Safety (6 papers)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Journals
- IEEE Robotics and Automation LettersJournal of Field RoboticsInternational Journal of Advanced Robotic Systems
- Partner nations
- United StatesSouth KoreaBrazil
In The Last Decade
Stephen G. McGill
18 papers receiving 245 citations
Peers
Comparison fields: 5 of 43
- Automotive Engineering 120
- Computer Vision and Pattern Recognition 80
- Control and Systems Engineering 75
- Biomedical Engineering 65
- Artificial Intelligence 61
Countries citing papers authored by Stephen G. McGill
This map shows the geographic impact of Stephen G. McGill'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 Stephen G. McGill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen G. McGill more than expected).
Fields of papers citing papers by Stephen G. McGill
This network shows the impact of papers produced by Stephen G. McGill. 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 Stephen G. McGill. The network helps show where Stephen G. McGill may publish in the future.
Co-authorship network of co-authors of Stephen G. McGill
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen G. McGill. A scholar is included among the top collaborators of Stephen G. McGill 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 Stephen G. McGill. Stephen G. McGill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 49 | |
| 7 | 24 | |
| 8 | 49 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 38 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 8 | |
| 19 | Soccer Skills and Drills | 1 |
About Stephen G. McGill
Stephen G. McGill is a scholar working on Health Informatics, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 19 papers that have together received 250 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (8 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Traffic and Road Safety (6 papers). The work is most often cited by research in Automotive Engineering (120 citations), Safety, Risk, Reliability and Quality (49 citations) and Computer Vision and Pattern Recognition (80 citations). Stephen G. McGill has collaborated with scholars based in United States, South Korea and Brazil. Frequent co-authors include Guy Rosman, Xin Huang, Brian Williams, Luke Fletcher, John J. Leonard, Daniel D. Lee, Seung‐Joon Yi, Jonathan DeCastro, Dennis Hong and Igor Gilitschenski. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics and International Journal of Advanced Robotic Systems.
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.