Devin Sheehan
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Biomedical Engineering top 10%
- Soft Robotics and Applications
- Advanced Sensor and Energy Harvesting Materials
- Molecular Communication and Nanonetworks
- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
Papers in
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- Micro and Nano Robotics 11
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- Microfluidic and Bio-sensing Technologies 2
- Molecular Communication and Nanonetworks 2
- Characterization and Applications of Magnetic Nanoparticles 2
- Soft Robotics and Applications 1
- Co-authors
- Metin Sitti (11 shared papers)Ugur Bozuyuk (5 shared papers)Abdon Pena‐Francesch (3 shared papers)Salvador Gómez Borros (2 shared papers)Öncay Yaşa (2 shared papers)Anna‐Maria Wild (2 shared papers)Varun Sridhar (2 shared papers)Joshua Giltinan (2 shared papers)
- Journals
- Advanced Materials (3 papers)Advanced Science (2 papers)Nature Communications (2 papers)Matter (1 paper)Small (1 paper)
- Partner nations
- GermanySwitzerlandTürkiye
In The Last Decade
Devin Sheehan
10 papers receiving 428 citations
Peers
Comparison fields: 5 of 58
- Condensed Matter Physics 287
- Biomedical Engineering 302
- Mechanical Engineering 171
- Molecular Medicine 12
- Biomaterials 21
Countries citing papers authored by Devin Sheehan
This map shows the geographic impact of Devin Sheehan'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 Devin Sheehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin Sheehan more than expected).
Fields of papers citing papers by Devin Sheehan
This network shows the impact of papers produced by Devin Sheehan. 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 Devin Sheehan. The network helps show where Devin Sheehan may publish in the future.
Co-authors
The 25 scholars most cited alongside Devin Sheehan, 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 | 2020 | 156 | |
| 2 | 2022 | 117 | |
| 3 | 2020 | 51 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 25 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2025 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2025 | 0 |
About Devin Sheehan
Devin Sheehan is a scholar working on Condensed Matter Physics, Biomedical Engineering, Mechanical Engineering, Building and Construction and Electronic, Optical and Magnetic Materials, having authored 11 papers that have together received 435 indexed citations. Recurring topics across this work include Micro and Nano Robotics (11 papers), Advanced Materials and Mechanics (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Molecular Communication and Nanonetworks (2 papers), Modular Robots and Swarm Intelligence (2 papers), Characterization and Applications of Magnetic Nanoparticles (2 papers), Electrowetting and Microfluidic Technologies (1 paper) and Soft Robotics and Applications (1 paper). The work is most often cited by research in Condensed Matter Physics (287 citations), Biomedical Engineering (302 citations), Mechanical Engineering (171 citations), Molecular Medicine (12 citations) and Biomaterials (21 citations). Devin Sheehan has collaborated with scholars based in Germany, Switzerland and Türkiye. Frequent co-authors include Metin Sitti, Ugur Bozuyuk, Abdon Pena‐Francesch, Salvador Gómez Borros, Öncay Yaşa, Anna‐Maria Wild, Varun Sridhar, Joshua Giltinan, Erdost Yıldız and Martina Schneider. Their work appears in journals such as Advanced Materials, Advanced Science, Nature Communications, Matter and Small.
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.