Jonathan P. How
- Computer Vision and Pattern Recognition top 0.05%
- Robotic Path Planning Algorithms 132
- Aerospace Engineering top 0.01%
- Robotics and Sensor-Based Localization 68
- Spacecraft Dynamics and Control 48
- Control and Systems Engineering top 0.05%
- Advanced Control Systems Optimization 84
- Control Systems and Identification 58
- Computer Networks and Communications top 0.1%
- Distributed Control Multi-Agent Systems 69
- Automotive Engineering top 0.1%
-
- Reinforcement Learning in Robotics 71
- Target Tracking and Data Fusion in Sensor Networks 55
- Co-authors
- Arthur RichardsYoshiaki KuwataHan‐Lim ChoiTom SchouwenaarsÉric FéronMichael TillersonMehdi AlighanbariArjang Hassibi
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Journals
- IEEE Control Systems (28 papers)Journal of Guidance Control and Dynamics (19 papers)IEEE Transactions on Robotics (13 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jonathan P. How
557 papers receiving 19.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 7.9k
- Aerospace Engineering 9.3k
- Control and Systems Engineering 7.2k
- Computer Networks and Communications 5.4k
- Automotive Engineering 2.8k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 13 | |
| 7 | Performance analysis of adaptive dynamic tube mpc | 2021 | 1 |
| 8 | 2021 | 104 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 126 | |
| 11 | Socially aware motion planning with deep reinforcement learningbreakdown → | 2017 | 463 |
| 12 | Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed SLAM Front-Ends. | 2017 | 3 |
| 13 | 2015 | 0 | |
| 14 | 2002 | 205 | |
| 15 | 2002 | 33 | |
| 16 | Decentralized Relative Navigation for Formation Flying Spacecraft using Augmented CDGPS 1 | 2001 | 12 |
| 17 | Onboard Pseudolite Augmentation System for Relative Navigation | 1999 | 7 |
| 18 | “GPS On A Chip” - An Advanced GPS Receiver for Spacecraft | 1998 | 5 |
| 19 | GPS Sensing for Spacecraft Formation Flying | 1997 | 55 |
| 20 | Carrier Differential GPS for Real-Time Control of Large Flexible Structures | 1996 | 1 |
About Jonathan P. How
Jonathan P. How is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 574 papers that have together received 20.9k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (132 papers), Advanced Control Systems Optimization (84 papers), Reinforcement Learning in Robotics (71 papers), Distributed Control Multi-Agent Systems (69 papers), Robotics and Sensor-Based Localization (68 papers), Control Systems and Identification (58 papers), Target Tracking and Data Fusion in Sensor Networks (55 papers) and Spacecraft Dynamics and Control (48 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.9k citations), Aerospace Engineering (9.3k citations) and Control and Systems Engineering (7.2k 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, Éric Féron, Michael Tillerson, Mehdi Alighanbari, Arjang Hassibi, John Vian and Louis Breger. 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.