John Swensen
Impact in
- Media Technology top 10%
- Image Processing Techniques and Applications
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- Advanced Vision and Imaging
Papers in
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- Soft Robotics and Applications 14
- Advanced Sensor and Energy Harvesting Materials 8
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- Advanced Materials and Mechanics 5
- Modular Robots and Swarm Intelligence 5
- Co-authors
- Noah J. Cowan (4 shared papers)Aaron M. Dollar (11 shared papers)Fan Yang (5 shared papers)Vinutha Kallem (1 shared paper)Gregory D. Hager (1 shared paper)M. Ali Akber Dewan (1 shared paper)Lael U. Odhner (2 shared papers)Brandon Araki (2 shared papers)
- Journals
- Smart Materials and Structures (2 papers)PLoS ONE (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Engineering Applications of Artificial Intelligence (1 paper)IEEE Transactions on Robotics (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
John Swensen
33 papers receiving 287 citations
Peers
Comparison fields: 5 of 52
- Media Technology 34
- Computer Vision and Pattern Recognition 72
- Biomedical Engineering 156
- Ecological Modeling 14
- Condensed Matter Physics 33
Countries citing papers authored by John Swensen
This map shows the geographic impact of John Swensen'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 John Swensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Swensen more than expected).
Fields of papers citing papers by John Swensen
This network shows the impact of papers produced by John Swensen. 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 John Swensen. The network helps show where John Swensen may publish in the future.
Co-authors
The 24 scholars most cited alongside John Swensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 54 | |
| 2 | 2014 | 25 | |
| 3 | 2014 | 22 | |
| 4 | 2006 | 21 | |
| 5 | 2012 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2018 | 10 | |
| 11 | 2014 | 8 | |
| 12 | 2012 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2012 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2014 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2015 | 5 |
About John Swensen
John Swensen is a scholar working on Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering, Condensed Matter Physics and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 298 indexed citations. Recurring topics across this work include Soft Robotics and Applications (14 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Robot Manipulation and Learning (6 papers), Micro and Nano Robotics (6 papers), Advanced Materials and Mechanics (5 papers), Modular Robots and Swarm Intelligence (5 papers), Advanced Control Systems Optimization (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Media Technology (34 citations), Computer Vision and Pattern Recognition (72 citations), Biomedical Engineering (156 citations), Ecological Modeling (14 citations) and Condensed Matter Physics (33 citations). John Swensen has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Noah J. Cowan, Aaron M. Dollar, Fan Yang, Vinutha Kallem, Gregory D. Hager, M. Ali Akber Dewan, Lael U. Odhner, Brandon Araki, Fan Yang and MingDe Lin. Their work appears in journals such as Smart Materials and Structures, PLoS ONE, IEEE Transactions on Biomedical Engineering, Engineering Applications of Artificial Intelligence 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.