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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- Speech and Audio Processing 2
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- Advanced Neural Network Applications 4
- Co-authors
- Adam Dai (1 shared paper)Jihong Min (1 shared paper)Changhao Xu (1 shared paper)Joanna M. Nassar (1 shared paper)Aaron D. Ames (1 shared paper)Yiran Yang (1 shared paper)Rachel Gehlhar (1 shared paper)Wei Gao (1 shared paper)
- Journals
- Science Robotics (1 paper)Clean Technologies and Environmental Policy (1 paper)IEEE Journal of Solid-State Circuits (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Rohan Doshi
11 papers receiving 745 citations
Rohan Doshi's Hit Papers
Peers
Comparison fields: 5 of 90
- Polymers and Plastics 168
- Biomedical Engineering 501
- Cognitive Neuroscience 149
- Bioengineering 38
- Electrical and Electronic Engineering 283
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 | 585 |
| 2 | 2022 | 47 | |
| 3 | 2021 | 39 | |
| 4 | 2014 | 26 | |
| 5 | 2021 | 19 | |
| 6 | 2017 | 11 | |
| 7 | 2016 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2015 | 0 |
About Rohan Doshi
Rohan Doshi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Visual Arts and Performing Arts and Human-Computer Interaction, having authored 12 papers that have together received 759 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Speech and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers), Machine Learning and Data Classification (1 paper), Forest Management and Policy (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Polymers and Plastics (168 citations), Biomedical Engineering (501 citations), Cognitive Neuroscience (149 citations), Bioengineering (38 citations) and Electrical and Electronic Engineering (283 citations). Rohan Doshi has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Adam Dai, Jihong Min, Changhao Xu, Joanna M. Nassar, Aaron D. Ames, Yiran Yang, Rachel Gehlhar, Wei Gao, Yu Song and You Yu. Their work appears in journals such as Science Robotics, Clean Technologies and Environmental Policy 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.