Kyle Dorsey
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Mechanical Engineering top 10%
- Advanced Materials and Mechanics
- Modular Robots and Swarm Intelligence
Papers in
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- Advanced Sensor and Energy Harvesting Materials 4
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- Advanced Materials and Mechanics 3
- Modular Robots and Swarm Intelligence 2
- Co-authors
- Paul L. McEuen (5 shared papers)Itai Cohen (5 shared papers)Marc Z. Miskin (5 shared papers)David A. Muller (4 shared papers)Edward Esposito (2 shared papers)Michael C. Cao (2 shared papers)Alejandro J. Cortese (1 shared paper)Qingkun Liu (1 shared paper)
- Journals
- Optica (1 paper)Advanced Materials (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nano Letters (1 paper)Nature (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Kyle Dorsey
5 papers receiving 455 citations
Kyle Dorsey's Hit Papers
Peers
Comparison fields: 5 of 47
- Condensed Matter Physics 216
- Mechanical Engineering 287
- Biomedical Engineering 273
- Surfaces, Coatings and Films 18
- Materials Chemistry 75
Countries citing papers authored by Kyle Dorsey
This map shows the geographic impact of Kyle Dorsey'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 Dorsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Dorsey more than expected).
Fields of papers citing papers by Kyle Dorsey
This network shows the impact of papers produced by Kyle Dorsey. 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 Dorsey. The network helps show where Kyle Dorsey may publish in the future.
Co-authors
The 15 scholars most cited alongside Kyle Dorsey, 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 | Electronically integrated, mass-manufactured, microscopic robots Hit paper breakdown → | 2020 | 266 |
| 2 | 2018 | 148 | |
| 3 | 2019 | 33 | |
| 4 | 2020 | 12 | |
| 5 | Bidirectional Folding with Nanoscale Sheets for Autonomous Micro-Origami | 2018 | 2 |
| 6 | 2025 | 0 |
About Kyle Dorsey
Kyle Dorsey is a scholar working on Biomedical Engineering, Mechanical Engineering, Condensed Matter Physics, Cellular and Molecular Neuroscience and Civil and Structural Engineering, having authored 6 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (4 papers), Advanced Materials and Mechanics (3 papers), Modular Robots and Swarm Intelligence (2 papers), Neuroscience and Neural Engineering (2 papers), Micro and Nano Robotics (2 papers), Structural Analysis and Optimization (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Condensed Matter Physics (216 citations), Mechanical Engineering (287 citations), Biomedical Engineering (273 citations), Surfaces, Coatings and Films (18 citations) and Materials Chemistry (75 citations). Kyle Dorsey has collaborated with scholars based in United States and France. Frequent co-authors include Paul L. McEuen, Itai Cohen, Marc Z. Miskin, David A. Muller, Edward Esposito, Michael C. Cao, Alejandro J. Cortese, Qingkun Liu, Michael Reynolds and Yimo Han. Their work appears in journals such as Optica, Advanced Materials, Proceedings of the National Academy of Sciences, Nano Letters and Nature.
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.