Amir Servati
Impact in
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- Conducting polymers and applications
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
- Non-Invasive Vital Sign Monitoring
- Muscle activation and electromyography studies
Papers in
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- Advanced Sensor and Energy Harvesting Materials 12
- Non-Invasive Vital Sign Monitoring 2
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- Conducting polymers and applications 6
- Co-authors
- Peyman Servati (18 shared papers)Frank Ko (11 shared papers)S. Soltanian (12 shared papers)Z. Jane Wang (3 shared papers)Liang Zou (3 shared papers)Katherine Le (7 shared papers)Harishkumar Narayana (5 shared papers)Ali Khademhosseini (2 shared papers)
- Journals
- Textile Research Journal (2 papers)Biosensors (2 papers)Journal of NeuroEngineering and Rehabilitation (1 paper)Journal of Industrial Textiles (1 paper)Chemical Engineering Journal (1 paper)
- Partner nations
- CanadaUnited StatesTaiwan
In The Last Decade
Amir Servati
16 papers receiving 352 citations
Amir Servati's Hit Papers
Peers
Comparison fields: 5 of 72
- Polymers and Plastics 89
- Biomedical Engineering 266
- Human-Computer Interaction 28
- Cognitive Neuroscience 75
- Bioengineering 14
Countries citing papers authored by Amir Servati
This map shows the geographic impact of Amir Servati'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 Amir Servati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Servati more than expected).
Fields of papers citing papers by Amir Servati
This network shows the impact of papers produced by Amir Servati. 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 Amir Servati. The network helps show where Amir Servati may publish in the future.
Co-authors
The 21 scholars most cited alongside Amir Servati, 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 | 2017 | 92 | |
| 2 | Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves Hit paper breakdown → | 2024 | 78 |
| 3 | 2023 | 40 | |
| 4 | 2023 | 38 | |
| 5 | 2022 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2015 | 18 | |
| 8 | 2021 | 11 | |
| 9 | 2017 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2014 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2018 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2014 | 2 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 |
About Amir Servati
Amir Servati is a scholar working on Biomedical Engineering, Polymers and Plastics, Cognitive Neuroscience, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (12 papers), Conducting polymers and applications (6 papers), Context-Aware Activity Recognition Systems (2 papers), Tactile and Sensory Interactions (2 papers), Blind Source Separation Techniques (2 papers), EEG and Brain-Computer Interfaces (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Polymers and Plastics (89 citations), Biomedical Engineering (266 citations), Human-Computer Interaction (28 citations), Cognitive Neuroscience (75 citations) and Bioengineering (14 citations). Amir Servati has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include Peyman Servati, Frank Ko, S. Soltanian, Z. Jane Wang, Liang Zou, Katherine Le, Harishkumar Narayana, Ali Khademhosseini, Janice J. Eng and Chieh-ling Yang. Their work appears in journals such as Textile Research Journal, Biosensors, Journal of NeuroEngineering and Rehabilitation, Journal of Industrial Textiles and Chemical Engineering Journal.
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.