Jonathan P. How

32.1k total citations · 8 hit papers
574 papers, 20.9k citations indexed

About

Jonathan P. How is a scholar working on Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Jonathan P. How has authored 574 papers receiving a total of 20.9k indexed citations (citations by other indexed papers that have themselves been cited), including 214 papers in Aerospace Engineering, 193 papers in Control and Systems Engineering and 176 papers in Artificial Intelligence. Recurrent topics in Jonathan P. How's work include Robotic Path Planning Algorithms (132 papers), Advanced Control Systems Optimization (84 papers) and Reinforcement Learning in Robotics (71 papers). Jonathan P. How is often cited by papers focused on Robotic Path Planning Algorithms (132 papers), Advanced Control Systems Optimization (84 papers) and Reinforcement Learning in Robotics (71 papers). Jonathan P. How collaborates with scholars based in United States, South Korea and United Kingdom. Jonathan P. How's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Jonathan P. How

557 papers receiving 19.9k citations

Hit Papers

Consensus-Based Decentralized Auctions for Robust Task Al... 2002 2026 2010 2018 2009 2009 2002 2017 2002 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan P. How United States 72 9.3k 7.9k 7.2k 5.4k 3.4k 574 20.9k
Randal W. Beard United States 52 7.8k 0.8× 4.9k 0.6× 8.7k 1.2× 16.4k 3.0× 2.0k 0.6× 260 24.2k
Vijay Kumar United States 81 9.9k 1.1× 11.5k 1.5× 8.2k 1.1× 10.0k 1.9× 2.4k 0.7× 532 25.4k
Shankar Sastry United States 71 3.9k 0.4× 9.3k 1.2× 20.1k 2.8× 5.7k 1.1× 4.6k 1.3× 322 34.7k
S. Shankar Sastry United States 58 5.2k 0.6× 6.8k 0.9× 7.1k 1.0× 3.4k 0.6× 3.3k 1.0× 281 18.6k
Simon Julier United Kingdom 41 7.4k 0.8× 4.4k 0.6× 4.6k 0.6× 2.6k 0.5× 10.7k 3.1× 154 20.9k
Emilio Frazzoli United States 56 4.2k 0.4× 6.9k 0.9× 6.2k 0.9× 4.5k 0.8× 2.0k 0.6× 356 16.7k
Steven M. LaValle United States 44 8.4k 0.9× 15.5k 2.0× 7.2k 1.0× 3.0k 0.6× 3.2k 0.9× 192 20.3k
Hugh Durrant‐Whyte Australia 59 15.0k 1.6× 8.7k 1.1× 4.2k 0.6× 3.2k 0.6× 8.4k 2.4× 274 23.9k
Antonios Tsourdos United Kingdom 50 4.7k 0.5× 2.9k 0.4× 2.5k 0.4× 1.8k 0.3× 1.3k 0.4× 589 9.4k
Claire J. Tomlin United States 56 5.0k 0.5× 3.1k 0.4× 6.9k 1.0× 2.9k 0.5× 2.3k 0.7× 397 14.9k

Countries citing papers authored by Jonathan P. How

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jonathan P. How

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan P. How. A scholar is included among the top collaborators of Jonathan P. How 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 Jonathan P. How. Jonathan P. How is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Monteiro, Sildomar T., et al.. (2025). Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. IEEE Transactions on Control Systems Technology. 33(6). 2334–2349.
2.
How, Jonathan P., et al.. (2024). Finding the optimal exploration-exploitation trade-off online through Bayesian risk estimation and minimization. Artificial Intelligence. 330. 104096–104096. 1 indexed citations
3.
How, Jonathan P., et al.. (2024). Certifiably Correct Range-Aided SLAM. IEEE Transactions on Robotics. 40. 4265–4283. 6 indexed citations
6.
Tagliabue, Andrea, et al.. (2024). REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. 1539–1546. 8 indexed citations
7.
Kim, Dong Ki, Miao Liu, Matthew Riemer, et al.. (2021). A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. DSpace@MIT (Massachusetts Institute of Technology). 5541–5550. 1 indexed citations
8.
How, Jonathan P., et al.. (2021). Performance analysis of adaptive dynamic tube mpc. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
9.
Lopez, Brett T., Jean-Jacques Slotine, & Jonathan P. How. (2020). Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics.. arXiv (Cornell University). 1 indexed citations
10.
Omidshafiei, Shayegan, Jason Pazis, Christopher Amato, Jonathan P. How, & John Vian. (2017). Deep Decentralized Multi-task Multi-Agent RL under Partial Observability. arXiv (Cornell University). 6 indexed citations
11.
Khosoussi, Kasra, et al.. (2017). Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed SLAM Front-Ends.. arXiv (Cornell University). 3 indexed citations
12.
Üre, Nazım Kemal, et al.. (2014). An Automated Battery Management System to Enable Persistent Missions With Multiple Aerial Vehicles. IEEE/ASME Transactions on Mechatronics. 20(1). 275–286. 114 indexed citations
13.
Campbell, Trevor & Jonathan P. How. (2014). Decentralized Variational Bayesian Inference.. arXiv (Cornell University). 2 indexed citations
14.
Geramifard, Alborz, Finale Doshi, Joshua Redding, Nicholas Roy, & Jonathan P. How. (2011). Online Discovery of Feature Dependencies. International Conference on Machine Learning. 881–888. 25 indexed citations
15.
How, Jonathan P., Luca F. Bertuccelli, Han‐Lim Choi, & Peter Cho. (2009). Real-Time Multi-UAV Task Assignment in Dynamic and Uncertain Environments. DSpace@MIT (Massachusetts Institute of Technology). 82 indexed citations
16.
Hassibi, Arjang, Jonathan P. How, & Stephen Boyd. (2002). Low-authority controller design via convex optimization. 1. 140–145. 33 indexed citations
17.
How, Jonathan P.. (2002). Coordination and Control of Multiple Spacecraft using Convex Optimization Techniques. Defense Technical Information Center (DTIC). 2. 89857. 5 indexed citations
18.
Bauer, Frank, et al.. (1999). Enabling Spacecraft Formation Flying through Spaceborne GPS and Enhanced Automation Technologies. 369–384. 42 indexed citations
19.
Meehan, T. K., et al.. (1998). “GPS On A Chip” - An Advanced GPS Receiver for Spacecraft. 1509–1517. 5 indexed citations
20.
Robertson, Andrew, et al.. (1997). GPS Sensing for Spacecraft Formation Flying. 735–744. 55 indexed citations

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.

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