Nathan Michael
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- Robotic Path Planning Algorithms 53
- Aerospace Engineering top 0.1%
- Robotics and Sensor-Based Localization 39
- Computer Networks and Communications top 0.5%
- Distributed Control Multi-Agent Systems 34
- Optimization and Search Problems 20
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning 8
- Geology top 2%
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- Modular Robots and Swarm Intelligence 13
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- Target Tracking and Data Fusion in Sensor Networks 10
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- Underwater Vehicles and Communication Systems 8
- Co-authors
- Vijay KumarDaniel MellingerShaojie ShenJonathan FinkMatthew TurpinQuentin LindseyMicah CorahYash Mulgaonkar
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Networks and Communications
- Journals
- Autonomous Robots (12 papers)The International Journal of Robotics Research (8 papers)IEEE Robotics and Automation Letters (4 papers)
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Nathan Michael
112 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 3.4k
- Aerospace Engineering 3.5k
- Computer Networks and Communications 2.2k
- Control and Systems Engineering 2.0k
- Geology 279
Countries citing papers authored by Nathan Michael
This map shows the geographic impact of Nathan Michael'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 Nathan Michael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Michael more than expected).
Fields of papers citing papers by Nathan Michael
This network shows the impact of papers produced by Nathan Michael. 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 Nathan Michael. The network helps show where Nathan Michael may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathan Michael, 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 | 2022 | 1 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 66 | |
| 4 | 2018 | 22 | |
| 5 | 2018 | 39 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 11 | |
| 8 | 2016 | 26 | |
| 9 | Experience-driven Predictive Control | 2016 | 5 |
| 10 | 2016 | 8 | |
| 11 | 2015 | 167 | |
| 12 | Intelligent Autonomous Systems 13: Proceedings of the 13th International Conference IAS-13 | 2015 | 30 |
| 13 | 2015 | 37 | |
| 14 | 2014 | 11 | |
| 15 | Incremental Distributed Robust Inference from Arbitrary Robot Poses via EM and Model Selection | 2014 | 1 |
| 16 | 2014 | 60 | |
| 17 | 2013 | 211 | |
| 18 | State Estimation for Indoor and Outdoor Operation with a Micro-Aerial Vehicle. | 2012 | 10 |
| 19 | 2011 | 36 | |
| 20 | 2011 | 15 |
About Nathan Michael
Nathan Michael is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering, having authored 113 papers that have together received 6.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (53 papers), Robotics and Sensor-Based Localization (39 papers), Distributed Control Multi-Agent Systems (34 papers), Optimization and Search Problems (20 papers), Modular Robots and Swarm Intelligence (13 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Robot Manipulation and Learning (8 papers) and Underwater Vehicles and Communication Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Aerospace Engineering (3.5k citations) and Computer Networks and Communications (2.2k citations). Nathan Michael has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Vijay Kumar, Daniel Mellinger, Shaojie Shen, Jonathan Fink, Matthew Turpin, Quentin Lindsey, Micah Corah, Yash Mulgaonkar, Vijay Kumar and Koushil Sreenath. Their work appears in journals such as Autonomous Robots, The International Journal of Robotics Research, IEEE Robotics and Automation Letters, Advanced Robotics and IEEE Transactions on Robotics.
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.