Kyle Gilpin
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Mechanical Engineering top 5%
- Modular Robots and Swarm Intelligence
- Advanced Materials and Mechanics
Papers in
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- Modular Robots and Swarm Intelligence 12
- Advanced Materials and Mechanics 8
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- Micro and Nano Robotics 9
- Co-authors
- Daniela Rus (12 shared papers)John W. Romanishin (3 shared papers)Ara N. Knaian (1 shared paper)Keith Kotay (2 shared papers)Iuliu Vasilescu (1 shared paper)Sebastian Claici (2 shared papers)Eduardo Torres-Jara (2 shared papers)Robert J. Wood (1 shared paper)
- Journals
- IEEE Robotics & Automation Magazine (2 papers)The International Journal of Robotics Research (1 paper)Springer tracts in advanced robotics (1 paper)The MIT Press eBooks (1 paper)CaltechAUTHORS (California Institute of Technology) (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Kyle Gilpin
13 papers receiving 759 citations
Peers
Comparison fields: 5 of 47
- Condensed Matter Physics 357
- Mechanical Engineering 705
- Biomedical Engineering 315
- Computer Networks and Communications 166
- Human-Computer Interaction 41
Countries citing papers authored by Kyle Gilpin
This map shows the geographic impact of Kyle Gilpin'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 Kyle Gilpin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Gilpin more than expected).
Fields of papers citing papers by Kyle Gilpin
This network shows the impact of papers produced by Kyle Gilpin. 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 Kyle Gilpin. The network helps show where Kyle Gilpin may publish in the future.
Co-authors
The 10 scholars most cited alongside Kyle Gilpin, 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 | 2013 | 178 | |
| 2 | 2010 | 160 | |
| 3 | 2008 | 122 | |
| 4 | 2015 | 105 | |
| 5 | 2010 | 99 | |
| 6 | 2010 | 45 | |
| 7 | 2007 | 37 | |
| 8 | 2011 | 16 | |
| 9 | 2013 | 11 | |
| 10 | 2012 | 7 | |
| 11 | 2012 | 6 | |
| 12 | 2017 | 3 | |
| 13 | 2013 | 1 |
About Kyle Gilpin
Kyle Gilpin is a scholar working on Mechanical Engineering, Condensed Matter Physics, Computer Networks and Communications, Biomedical Engineering and Automotive Engineering, having authored 13 papers that have together received 790 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (12 papers), Micro and Nano Robotics (9 papers), Advanced Materials and Mechanics (8 papers), Soft Robotics and Applications (3 papers), Optimization and Search Problems (2 papers), Shape Memory Alloy Transformations (1 paper), Prosthetics and Rehabilitation Robotics (1 paper) and Additive Manufacturing and 3D Printing Technologies (1 paper). The work is most often cited by research in Condensed Matter Physics (357 citations), Mechanical Engineering (705 citations), Biomedical Engineering (315 citations), Computer Networks and Communications (166 citations) and Human-Computer Interaction (41 citations). Kyle Gilpin has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Daniela Rus, John W. Romanishin, Ara N. Knaian, Keith Kotay, Iuliu Vasilescu, Sebastian Claici, Eduardo Torres-Jara, Robert J. Wood, D. Rus and Jeffrey I. Lipton. Their work appears in journals such as IEEE Robotics & Automation Magazine, The International Journal of Robotics Research, Springer tracts in advanced robotics, The MIT Press eBooks and CaltechAUTHORS (California Institute of Technology).
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.