Dylan Shah
- Biomedical Engineering top 2%
- Soft Robotics and Applications 16
- Advanced Sensor and Energy Harvesting Materials 15
- Condensed Matter Physics top 5%
- Micro and Nano Robotics 4
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions 6
- Mechanical Engineering top 5%
- Modular Robots and Swarm Intelligence 15
- Advanced Materials and Mechanics 7
- Polymers and Plastics top 5%
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- Smart Agriculture and AI 5
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- Structural Analysis and Optimization 3
- Co-authors
- Rebecca Kramer‐BottiglioShanliangzi LiuBenjamin ShihFumiya IidaJinxing LiYong‐Lae ParkZhenan BaoMichael T. Tolley
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Dylan Shah
31 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Biomedical Engineering 1.4k
- Condensed Matter Physics 231
- Cognitive Neuroscience 381
- Mechanical Engineering 715
- Polymers and Plastics 265
Countries citing papers authored by Dylan Shah
This map shows the geographic impact of Dylan Shah'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 Dylan Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan Shah more than expected).
Fields of papers citing papers by Dylan Shah
This network shows the impact of papers produced by Dylan Shah. 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 Dylan Shah. The network helps show where Dylan Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dylan Shah, 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 | 2025 | 1 | |
| 2 | 2024 | 32 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 28 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 65 | |
| 9 | Highly stretchable multilayer electronic circuits using biphasic gallium-indiumbreakdown → | 2021 | 314 |
| 10 | 2021 | 82 | |
| 11 | 2020 | 24 | |
| 12 | Electronic skins and machine learning for intelligent soft robotsbreakdown → | 2020 | 534 |
| 13 | 2020 | 66 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 118 | |
| 16 | 2020 | 47 | |
| 17 | 2020 | 3 | |
| 18 | 2019 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2016 | 13 |
About Dylan Shah
Dylan Shah is a scholar working on Biomedical Engineering, Mechanical Engineering, Condensed Matter Physics, Cognitive Neuroscience and Polymers and Plastics, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Soft Robotics and Applications (16 papers), Modular Robots and Swarm Intelligence (15 papers), Advanced Sensor and Energy Harvesting Materials (15 papers), Advanced Materials and Mechanics (7 papers), Tactile and Sensory Interactions (6 papers), Smart Agriculture and AI (5 papers), Micro and Nano Robotics (4 papers) and Structural Analysis and Optimization (3 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Condensed Matter Physics (231 citations), Cognitive Neuroscience (381 citations), Mechanical Engineering (715 citations) and Polymers and Plastics (265 citations). Dylan Shah has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Rebecca Kramer‐Bottiglio, Shanliangzi Liu, Benjamin Shih, Fumiya Iida, Jinxing Li, Yong‐Lae Park, Zhenan Bao, Michael T. Tolley, Thomas George Thuruthel and Michelle C. Yuen. Their work appears in journals such as Science Robotics, Soft Robotics, Advanced Materials, Nature Machine Intelligence and IEEE Robotics and Automation Letters.
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.