Gary M. Bone
Impact in
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- Robot Manipulation and Learning
- Iterative Learning Control Systems
- Mechanical Engineering top 2%
- Hydraulic and Pneumatic Systems
- Advanced machining processes and optimization
Papers in
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- Robot Manipulation and Learning 24
- Iterative Learning Control Systems 11
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- Hydraulic and Pneumatic Systems 24
- Advanced machining processes and optimization 10
- Teleoperation and Haptic Systems 10
- Co-authors
- M.A. Elbestawi (10 shared papers)Amr Elfizy (2 shared papers)David W. Capson (3 shared papers)Mark Edwards (1 shared paper)Andrew Lambert (1 shared paper)Yan Li (1 shared paper)Saeid Habibi (2 shared papers)Asko Ellman (2 shared papers)
In The Last Decade
Gary M. Bone
70 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 81
- Control and Systems Engineering 1.1k
- Mechanical Engineering 1.2k
- Industrial and Manufacturing Engineering 170
- Biomedical Engineering 714
- Computer Vision and Pattern Recognition 167
Countries citing papers authored by Gary M. Bone
This map shows the geographic impact of Gary M. Bone'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 Gary M. Bone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary M. Bone more than expected).
Fields of papers citing papers by Gary M. Bone
This network shows the impact of papers produced by Gary M. Bone. 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 Gary M. Bone. The network helps show where Gary M. Bone may publish in the future.
Co-authors
The 22 scholars most cited alongside Gary M. Bone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 251 | |
| 2 | 2004 | 118 | |
| 3 | 2008 | 118 | |
| 4 | 2005 | 104 | |
| 5 | 2007 | 97 | |
| 6 | 2015 | 71 | |
| 7 | 2009 | 69 | |
| 8 | 2006 | 65 | |
| 9 | 2003 | 51 | |
| 10 | 2009 | 50 | |
| 11 | 2008 | 48 | |
| 12 | 2004 | 46 | |
| 13 | 2014 | 44 | |
| 14 | 2003 | 43 | |
| 15 | 2014 | 39 | |
| 16 | 2000 | 33 | |
| 17 | 2006 | 32 | |
| 18 | 1991 | 32 | |
| 19 | 2006 | 26 | |
| 20 | 2002 | 26 |
About Gary M. Bone
Gary M. Bone is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (24 papers), Robot Manipulation and Learning (24 papers), Soft Robotics and Applications (14 papers), Iterative Learning Control Systems (11 papers), Advanced machining processes and optimization (10 papers), Teleoperation and Haptic Systems (10 papers), Prosthetics and Rehabilitation Robotics (10 papers) and Manufacturing Process and Optimization (9 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Mechanical Engineering (1.2k citations), Industrial and Manufacturing Engineering (170 citations), Biomedical Engineering (714 citations) and Computer Vision and Pattern Recognition (167 citations). Gary M. Bone has collaborated with scholars based in Canada, Egypt and China. Frequent co-authors include M.A. Elbestawi, Amr Elfizy, David W. Capson, Mark Edwards, Andrew Lambert, Yan Li, Saeid Habibi, Asko Ellman, S. Andrew Gadsden and Xing Chen. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, IEEE/ASME Transactions on Mechatronics, International Journal of Machine Tools and Manufacture, Robotics and Computer-Integrated Manufacturing and Robotica.
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.