Bill Goodwine
Impact in
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- Control and Dynamics of Mobile Robots
- Robot Manipulation and Learning
- Modeling and Simulation top 5%
Papers in
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- Control and Dynamics of Mobile Robots 24
- Adaptive Control of Nonlinear Systems 13
- Dynamics and Control of Mechanical Systems 10
- Robotic Mechanisms and Dynamics 9
- Co-authors
- Mihir SenJoel W. BurdickM.B. McMickellNicholas W. TurnerPanos J. AntsaklisVijay GuptaXenofon KoutsoukosJános Sztipanovits
- Journals
- The International Journal of Robotics Research (4 papers)Journal of Dynamic Systems Measurement and Control (3 papers)Nonlinear Dynamics (3 papers)IEEE Transactions on Robotics and Automation (2 papers)International Journal of Heat and Mass Transfer (2 papers)
- Partner nations
- United StatesMexicoHungary
In The Last Decade
Bill Goodwine
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Control and Systems Engineering 568
- Modeling and Simulation 69
- Computer Networks and Communications 286
- Mechanical Engineering 316
- Computer Vision and Pattern Recognition 149
Countries citing papers authored by Bill Goodwine
This map shows the geographic impact of Bill Goodwine'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 Bill Goodwine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Goodwine more than expected).
Fields of papers citing papers by Bill Goodwine
This network shows the impact of papers produced by Bill Goodwine. 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 Bill Goodwine. The network helps show where Bill Goodwine may publish in the future.
Co-authors
The 25 scholars most cited alongside Bill Goodwine, 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 | 2024 | 0 | |
| 2 | 2019 | 7 | |
| 3 | 2019 | 3 | |
| 4 | 2018 | 4 | |
| 5 | 2015 | 10 | |
| 6 | 2015 | 5 | |
| 7 | 2014 | 28 | |
| 8 | 2013 | 1 | |
| 9 | 2013 | 7 | |
| 10 | 2011 | 3 | |
| 11 | 2010 | 9 | |
| 12 | 2010 | 14 | |
| 13 | 2009 | 5 | |
| 14 | 2008 | 1 | |
| 15 | 2006 | 6 | |
| 16 | 2004 | 3 | |
| 17 | 2004 | 72 | |
| 18 | 2003 | 23 | |
| 19 | 2002 | 20 | |
| 20 | 2000 | 28 |
About Bill Goodwine
Bill Goodwine is a scholar working on Control and Systems Engineering, Modeling and Simulation, Computer Networks and Communications, Computer Vision and Pattern Recognition and Architecture, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Control and Dynamics of Mobile Robots (24 papers), Distributed Control Multi-Agent Systems (22 papers), Robotic Locomotion and Control (21 papers), Robotic Path Planning Algorithms (18 papers), Adaptive Control of Nonlinear Systems (13 papers), Dynamics and Control of Mechanical Systems (10 papers), Robotic Mechanisms and Dynamics (9 papers) and Prosthetics and Rehabilitation Robotics (9 papers). The work is most often cited by research in Control and Systems Engineering (568 citations), Modeling and Simulation (69 citations), Computer Networks and Communications (286 citations), Mechanical Engineering (316 citations) and Computer Vision and Pattern Recognition (149 citations). Bill Goodwine has collaborated with scholars based in United States, Mexico and Hungary. Frequent co-authors include Mihir Sen, Joel W. Burdick, M.B. McMickell, Nicholas W. Turner, Panos J. Antsaklis, Vijay Gupta, Xenofon Koutsoukos, János Sztipanovits, Luis A. Montestruque and Nicholas Kottenstette. Their work appears in journals such as The International Journal of Robotics Research, Journal of Dynamic Systems Measurement and Control, Nonlinear Dynamics, IEEE Transactions on Robotics and Automation and International Journal of Heat and Mass Transfer.
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.