Rohan Doshi
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Advanced Neural Network Applications 4
-
- Speech Recognition and Synthesis 2
- Co-authors
- Yiran Yang (1 shared paper)Wei Gao (1 shared paper)Joanna M. Nassar (1 shared paper)Changhao Xu (1 shared paper)Aaron D. Ames (1 shared paper)You Yu (1 shared paper)Rachel Gehlhar (1 shared paper)Adam Dai (1 shared paper)
- Journals
- Clean Technologies and Environmental Policy (1 paper)Science Robotics (1 paper)IEEE Journal of Solid-State Circuits (1 paper)
- Partner nations
- United StatesTaiwanPortugal
In The Last Decade
Rohan Doshi
11 papers receiving 696 citations
Rohan Doshi's Hit Papers
Peers
Comparison fields: 5 of 85
- Polymers and Plastics 166
- Biomedical Engineering 481
- Cognitive Neuroscience 146
- Bioengineering 38
- Human-Computer Interaction 26
Countries citing papers authored by Rohan Doshi
This map shows the geographic impact of Rohan 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 Rohan Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohan Doshi more than expected).
Fields of papers citing papers by Rohan Doshi
This network shows the impact of papers produced by Rohan 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 Rohan Doshi. The network helps show where Rohan Doshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Rohan 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 | Biofuel-powered soft electronic skin with multiplexed and wireless sensing for human-machine interfaces Hit paper breakdown → | 2020 | 551 |
| 2 | 2022 | 42 | |
| 3 | 2021 | 36 | |
| 4 | 2014 | 23 | |
| 5 | 2021 | 15 | |
| 6 | 2016 | 9 | |
| 7 | 2017 | 8 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2015 | 0 |
About Rohan Doshi
Rohan Doshi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing and Computer Networks and Communications, having authored 12 papers that have together received 705 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Advanced Neural Network Applications (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Speech Recognition and Synthesis (2 papers), Speech and Audio Processing (2 papers), Neuroscience and Neural Engineering (1 paper), IoT and Edge/Fog Computing (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Polymers and Plastics (166 citations), Biomedical Engineering (481 citations), Cognitive Neuroscience (146 citations), Bioengineering (38 citations) and Human-Computer Interaction (26 citations). Rohan Doshi has collaborated with scholars based in United States, Taiwan and Portugal. Frequent co-authors include Yiran Yang, Wei Gao, Joanna M. Nassar, Changhao Xu, Aaron D. Ames, You Yu, Rachel Gehlhar, Adam Dai, Yu Song and Jihong Min. Their work appears in journals such as Clean Technologies and Environmental Policy, Science Robotics and IEEE Journal of Solid-State Circuits.
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.