Noah J. Cowan
- Biomedical Engineering top 1%
- Control and Systems Engineering top 1%
- Mechanical Engineering top 2%
- Aerospace Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Robert J. WebsterAllison M. OkamuraGregory S. ChirikjianJoseph M. RomanoVinutha KallemEric S. FortuneJin Seob KimKyle B. Reed
- Topics
- Biomimetic flight and propulsion mechanisms (17 papers)Soft Robotics and Applications (16 papers)Robotic Locomotion and Control (15 papers)
- Cited by
- Control and Systems EngineeringBiomedical EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United StatesCanadaTürkiye
In The Last Decade
Noah J. Cowan
105 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Biomedical Engineering 2.2k
- Control and Systems Engineering 1.2k
- Mechanical Engineering 771
- Aerospace Engineering 739
- Computer Vision and Pattern Recognition 696
Countries citing papers authored by Noah J. Cowan
This map shows the geographic impact of Noah J. Cowan'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 Noah J. Cowan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah J. Cowan more than expected).
Fields of papers citing papers by Noah J. Cowan
This network shows the impact of papers produced by Noah J. Cowan. 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 Noah J. Cowan. The network helps show where Noah J. Cowan may publish in the future.
Co-authorship network of co-authors of Noah J. Cowan
This figure shows the co-authorship network connecting the top 25 collaborators of Noah J. Cowan. A scholar is included among the top collaborators of Noah J. Cowan 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 Noah J. Cowan. Noah J. Cowan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 54 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 25 | |
| 13 | 51 | |
| 14 | An almost global estimator on SO(3) with measurement on S 2 | 2 |
| 15 | 17 | |
| 16 | Nodal dynamics determine the controllability of complex networks | 2 |
| 17 | Controllability of Real Networks | 2 |
| 18 | 44 | |
| 19 | 139 | |
| 20 | Vision -based control via navigation functions. | 3 |
About Noah J. Cowan
Noah J. Cowan is a scholar working on Cognitive Neuroscience, Nature and Landscape Conservation and Aerospace Engineering, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (17 papers), Soft Robotics and Applications (16 papers) and Robotic Locomotion and Control (15 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Biomedical Engineering (2.2k citations) and Computer Vision and Pattern Recognition (696 citations). Noah J. Cowan has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Robert J. Webster, Allison M. Okamura, Gregory S. Chirikjian, Joseph M. Romano, Vinutha Kallem, Eric S. Fortune, Jin Seob Kim, Kyle B. Reed, Daniel E. Koditschek and Sarah A. Stamper. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.