Jonathan P. How
Impact in
- Aerospace Engineering top 0.01%
- Robotics and Sensor-Based Localization
- Guidance and Control Systems
- Spacecraft Dynamics and Control
- Computer Vision and Pattern Recognition top 0.05%
- Robotic Path Planning Algorithms
Papers in
-
- Robotics and Sensor-Based Localization 70
- Spacecraft Dynamics and Control 59
-
- Advanced Control Systems Optimization 86
- Control Systems and Identification 59
- Co-authors
- Arthur Richards (25 shared papers)Yoshiaki Kuwata (25 shared papers)Han‐Lim Choi (37 shared papers)Tom Schouwenaars (16 shared papers)Michael Tillerson (12 shared papers)Éric Féron (15 shared papers)Louis Breger (33 shared papers)Mehdi Alighanbari (12 shared papers)
- Journals
- IEEE Control Systems (28 papers)Journal of Guidance Control and Dynamics (19 papers)IEEE Transactions on Robotics (13 papers)IEEE Robotics and Automation Letters (12 papers)IEEE Transactions on Control Systems Technology (9 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jonathan P. How
593 papers receiving 21.9k citations
Jonathan P. How's Hit Papers
Peers
Comparison fields: 5 of 162
- Aerospace Engineering 10.3k
- Computer Vision and Pattern Recognition 8.7k
- Control and Systems Engineering 7.7k
- Computer Networks and Communications 6.0k
- Automotive Engineering 3.0k
Countries citing papers authored by Jonathan P. How
This map shows the geographic impact of Jonathan P. How'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 Jonathan P. How with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan P. How more than expected).
Fields of papers citing papers by Jonathan P. How
This network shows the impact of papers produced by Jonathan P. How. 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 Jonathan P. How. The network helps show where Jonathan P. How may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan P. How, 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 616 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Consensus-Based Decentralized Auctions for Robust Task Allocation Hit paper breakdown → | 2009 | 773 |
| 2 | Real-Time Motion Planning With Applications to Autonomous Urban Driving Hit paper breakdown → | 2009 | 700 |
| 3 | Aircraft trajectory planning with collision avoidance using mixed integer linear programming Hit paper breakdown → | 2002 | 588 |
| 4 | Socially aware motion planning with deep reinforcement learning Hit paper breakdown → | 2017 | 497 |
| 5 | 2001 | 441 | |
| 6 | 2002 | 371 | |
| 7 | 2004 | 349 | |
| 8 | Performance and Lyapunov Stability of a Nonlinear Path Following Guidance Method Hit paper breakdown → | 2007 | 346 |
| 9 | Spacecraft Formation Flying: Dynamics, Control and Navigation Hit paper breakdown → | 2009 | 345 |
| 10 | 2008 | 341 | |
| 11 | 2002 | 336 | |
| 12 | 2000 | 307 | |
| 13 | 2002 | 291 | |
| 14 | 2010 | 278 | |
| 15 | 1999 | 261 | |
| 16 | 2015 | 258 | |
| 17 | 2007 | 249 | |
| 18 | 2013 | 217 | |
| 19 | 2002 | 215 | |
| 20 | 2012 | 201 |
About Jonathan P. How
Jonathan P. How is a scholar working on Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 616 papers that have together received 23.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (138 papers), Advanced Control Systems Optimization (86 papers), Reinforcement Learning in Robotics (77 papers), Distributed Control Multi-Agent Systems (73 papers), Robotics and Sensor-Based Localization (70 papers), Control Systems and Identification (59 papers), Spacecraft Dynamics and Control (59 papers) and Target Tracking and Data Fusion in Sensor Networks (55 papers). The work is most often cited by research in Aerospace Engineering (10.3k citations), Computer Vision and Pattern Recognition (8.7k citations), Control and Systems Engineering (7.7k citations), Computer Networks and Communications (6.0k citations) and Automotive Engineering (3.0k citations). Jonathan P. How has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Arthur Richards, Yoshiaki Kuwata, Han‐Lim Choi, Tom Schouwenaars, Michael Tillerson, Éric Féron, Louis Breger, Mehdi Alighanbari, John Vian and Arjang Hassibi. Their work appears in journals such as IEEE Control Systems, Journal of Guidance Control and Dynamics, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and IEEE Transactions on Control Systems Technology.
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.