Neel Doshi
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Biomedical Engineering top 5%
- Soft Robotics and Applications
- Robotic Locomotion and Control
- Advanced Sensor and Energy Harvesting Materials
Papers in
-
- Robot Manipulation and Learning 5
- Robotic Mechanisms and Dynamics 3
-
- Robotic Locomotion and Control 10
- Soft Robotics and Applications 3
- Co-authors
- Robert J. WoodBenjamin GoldbergKaushik JayaramYufeng ChenJack G. ZhouS. de RivazJe‐Sung KohZeynep Temel
- Journals
- Bioinspiration & Biomimetics (2 papers)IEEE Robotics and Automation Letters (2 papers)Science Robotics (2 papers)Smart Materials and Structures (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Neel Doshi
23 papers receiving 955 citations
Peers
Comparison fields: 5 of 62
- Condensed Matter Physics 302
- Biomedical Engineering 651
- Mechanical Engineering 508
- Control and Systems Engineering 188
- Aerospace Engineering 165
Countries citing papers authored by Neel Doshi
This map shows the geographic impact of Neel Doshi'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 Neel Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neel Doshi more than expected).
Fields of papers citing papers by Neel Doshi
This network shows the impact of papers produced by Neel Doshi. 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 Neel Doshi. The network helps show where Neel Doshi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neel Doshi, 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 20 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 39 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 23 | |
| 9 | 2018 | 122 | |
| 10 | 2018 | 177 | |
| 11 | 2018 | 126 | |
| 12 | 2018 | 145 | |
| 13 | 2018 | 48 | |
| 14 | 2017 | 19 | |
| 15 | 2017 | 15 | |
| 16 | 2017 | 38 | |
| 17 | 2015 | 50 | |
| 18 | 2015 | 19 | |
| 19 | 2014 | 27 | |
| 20 | 2014 | 44 |
About Neel Doshi
Neel Doshi is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 23 papers that have together received 980 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (10 papers), Modular Robots and Swarm Intelligence (7 papers), Biomimetic flight and propulsion mechanisms (6 papers), Robot Manipulation and Learning (5 papers), Robotic Path Planning Algorithms (5 papers), Soft Robotics and Applications (3 papers), Adhesion, Friction, and Surface Interactions (3 papers) and Robotic Mechanisms and Dynamics (3 papers). The work is most often cited by research in Condensed Matter Physics (302 citations), Biomedical Engineering (651 citations), Mechanical Engineering (508 citations), Control and Systems Engineering (188 citations) and Aerospace Engineering (165 citations). Neel Doshi has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Robert J. Wood, Benjamin Goldberg, Kaushik Jayaram, Yufeng Chen, Jack G. Zhou, S. de Rivaz, Je‐Sung Koh, Zeynep Temel, Hongqiang Wang and Noah T. Jafferis. Their work appears in journals such as Bioinspiration & Biomimetics, IEEE Robotics and Automation Letters, Science Robotics, Smart Materials and Structures and Nature Communications.
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.