Benjamin Shih
- Biomedical Engineering top 2%
- Soft Robotics and Applications 11
- Advanced Sensor and Energy Harvesting Materials 10
- Robotic Locomotion and Control 2
- Orthodontics top 5%
- Condensed Matter Physics top 5%
- Micro and Nano Robotics 4
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions 5
- General Dentistry top 5%
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- Robot Manipulation and Learning 2
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- AI-based Problem Solving and Planning 2
- Intelligent Tutoring Systems and Adaptive Learning 2
- Co-authors
- Michael T. TolleyThomas George ThuruthelCecilia LaschiYong‐Lae ParkRebecca Kramer‐BottiglioFumiya IidaZhenan BaoJinxing Li
- Journals
- Science Robotics (3 papers)Soft Robotics (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Benjamin Shih
17 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Biomedical Engineering 1.4k
- Orthodontics 96
- Condensed Matter Physics 238
- Cognitive Neuroscience 380
- General Dentistry 31
Countries citing papers authored by Benjamin Shih
This map shows the geographic impact of Benjamin Shih'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 Benjamin Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Shih more than expected).
Fields of papers citing papers by Benjamin Shih
This network shows the impact of papers produced by Benjamin Shih. 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 Benjamin Shih. The network helps show where Benjamin Shih may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin Shih, 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 | 81 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 83 | |
| 4 | 2021 | 115 | |
| 5 | Electronic skins and machine learning for intelligent soft robotsbreakdown → | 2020 | 534 |
| 6 | 2020 | 4 | |
| 7 | 2019 | 81 | |
| 8 | Soft robot perception using embedded soft sensors and recurrent neural networksbreakdown → | 2019 | 507 |
| 9 | 2019 | 50 | |
| 10 | 2018 | 0 | |
| 11 | 2018 | 12 | |
| 12 | 2017 | 62 | |
| 13 | 2017 | 73 | |
| 14 | 2017 | 50 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 26 | |
| 17 | 2011 | 2 | |
| 18 | Unsupervised Discovery of Student Strategies. | 2010 | 18 |
About Benjamin Shih
Benjamin Shih is a scholar working on Condensed Matter Physics, Biomedical Engineering, Cognitive Neuroscience, Orthodontics and Computer Science Applications, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Soft Robotics and Applications (11 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Tactile and Sensory Interactions (5 papers), Micro and Nano Robotics (4 papers), Robot Manipulation and Learning (2 papers), Robotic Locomotion and Control (2 papers), AI-based Problem Solving and Planning (2 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Orthodontics (96 citations), Condensed Matter Physics (238 citations), Cognitive Neuroscience (380 citations) and General Dentistry (31 citations). Benjamin Shih has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Michael T. Tolley, Thomas George Thuruthel, Cecilia Laschi, Yong‐Lae Park, Rebecca Kramer‐Bottiglio, Fumiya Iida, Zhenan Bao, Jinxing Li, Dylan Shah and Dylan Drotman. Their work appears in journals such as Science Robotics, Soft Robotics, IEEE Robotics and Automation Letters, Advanced Materials and Dental Materials.
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.