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Researcher · Massachusetts Institute of Technology · United States

Jonathan P. How

Jonathan P. How publishes mostly in Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering, on topics such as Robotic Path Planning Algorithms, Target Tracking and Data Fusion in Sensor Networks and Robotics and Sensor-Based Localization.

ORCID 0000-0001-8576-1930 OpenAlex
World rank
#53,693
of 1,633,909 ranked researchers
Rank in United States
#24,561
of 358,040
Works
282
Citations
2k
Citations per work
7.1

What does Jonathan P. How research?

Artificial Intelligence: 19.6%Aerospace Engineering: 18.3%Control and Systems Engineering: 17.5%Computer Vision and Pattern Recognition: 7.7%other fields: 36.9%20%top field
Artificial Intelligence19.6%Aerospace Engineering18.3%Control and Systems Engineering17.5%Computer Vision and Pattern Recognition7.7%other fields36.9%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence20% of their works
  2. 2Aerospace Engineering18% of their works
  3. 3Control and Systems Engineering18% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Management Science and Operations Research4% of their works

Research topics

Which keywords describe Jonathan P. How's research?

The keywords of their largest research topics: Multi-Agent Systems, Robotics, State Estimation, Optimal Motion Planning, Sampling-Based Algorithms, Nonlinear Estimation, Particle Filters and 3D Mapping.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Multi-Agent Systems352 topics
  2. Robotics312 topics
  3. State Estimation262 topics
  4. Optimal Motion Planning201 topic
  5. Sampling-Based Algorithms201 topic
  6. Nonlinear Estimation171 topic
  7. Particle Filters171 topic
  8. 3D Mapping161 topic
  9. SLAM161 topic
  10. Deep Learning151 topic
  11. Reinforcement Learning151 topic
  12. Model Predictive Control131 topic
  13. Optimization131 topic
  14. On-Orbit Servicing111 topic
  15. Space Debris111 topic
  16. Spacecraft Formation Flying111 topic
  17. Trajectory Optimization111 topic
  18. Parameter Estimation91 topic
  19. System Identification91 topic

Where does Jonathan P. How work?

Jonathan P. How's main affiliation in the publication record is Massachusetts Institute of Technology, United States.

How many publications and citations does Jonathan P. How have?

Science Explorer counts 282 works and 2,008 citations for Jonathan P. How, ranking #53,693 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.