Thassyo Pinto
Impact in
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
- Soft Robotics and Applications
- Dielectric materials and actuators
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- Tactile and Sensory Interactions
Papers in
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- Advanced Sensor and Energy Harvesting Materials 6
- Soft Robotics and Applications 4
- Dielectric materials and actuators 1
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- Gas Sensing Nanomaterials and Sensors 2
- Advanced Fiber Optic Sensors 1
- Co-authors
- Xiaobo Tan (10 shared papers)Hongyang Shi (6 shared papers)Chunqi Qian (1 shared paper)Chuan Wang (4 shared papers)Jinshui Miao (2 shared papers)Christopher M. Holbrook (2 shared papers)Xinda Qi (2 shared papers)Le Cai (1 shared paper)
- Journals
- Advanced Functional Materials (2 papers)IEEE Robotics and Automation Letters (1 paper)Smart Materials and Structures (1 paper)Soft Robotics (1 paper)International Journal of Intelligent Robotics and Applications (1 paper)
- Partner nations
- United States
In The Last Decade
Thassyo Pinto
10 papers receiving 349 citations
Peers
Comparison fields: 5 of 41
- Biomedical Engineering 320
- Cognitive Neuroscience 80
- Condensed Matter Physics 47
- Mechanical Engineering 101
- Polymers and Plastics 38
Countries citing papers authored by Thassyo Pinto
This map shows the geographic impact of Thassyo Pinto'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 Thassyo Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thassyo Pinto more than expected).
Fields of papers citing papers by Thassyo Pinto
This network shows the impact of papers produced by Thassyo Pinto. 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 Thassyo Pinto. The network helps show where Thassyo Pinto may publish in the future.
Co-authors
The 14 scholars most cited alongside Thassyo Pinto, 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 | 2019 | 104 | |
| 2 | 2019 | 92 | |
| 3 | 2020 | 64 | |
| 4 | 2019 | 32 | |
| 5 | 2017 | 27 | |
| 6 | 2021 | 19 | |
| 7 | 2017 | 12 | |
| 8 | 2018 | 3 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 1 |
About Thassyo Pinto
Thassyo Pinto is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering and Bioengineering, having authored 10 papers that have together received 355 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Soft Robotics and Applications (4 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Analytical Chemistry and Sensors (2 papers), Coastal and Marine Dynamics (1 paper), Advanced Fiber Optic Sensors (1 paper) and Dielectric materials and actuators (1 paper). The work is most often cited by research in Biomedical Engineering (320 citations), Cognitive Neuroscience (80 citations), Condensed Matter Physics (47 citations), Mechanical Engineering (101 citations) and Polymers and Plastics (38 citations). Thassyo Pinto has collaborated with scholars based in United States. Frequent co-authors include Xiaobo Tan, Hongyang Shi, Chunqi Qian, Chuan Wang, Jinshui Miao, Christopher M. Holbrook, Xinda Qi, Le Cai, Cody Pinger and Nelson Sepúlveda. Their work appears in journals such as Advanced Functional Materials, IEEE Robotics and Automation Letters, Smart Materials and Structures, Soft Robotics and International Journal of Intelligent Robotics and Applications.
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.