Romain Nith
Impact in
- Human-Computer Interaction top 2%
- Interactive and Immersive Displays
- Virtual Reality Applications and Impacts
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions
Papers in
-
- Tactile and Sensory Interactions 11
- Motor Control and Adaptation 2
-
- Interactive and Immersive Displays 8
- Virtual Reality Applications and Impacts 3
- Co-authors
- Pedro Lopes (17 shared papers)Shan-Yuan Teng (8 shared papers)Alex Mazursky (3 shared papers)Jie Xu (1 shared paper)Youdi Liu (1 shared paper)Ping Cheng (1 shared paper)Pengyu Li (2 shared papers)Nan Li (1 shared paper)
- Journals
- Science Advances (1 paper)Journal of Neuroscience (1 paper)Nature Chemical Engineering (1 paper)Open MIND (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Romain Nith
14 papers receiving 545 citations
Romain Nith's Hit Papers
Peers
Comparison fields: 5 of 66
- Human-Computer Interaction 161
- Cognitive Neuroscience 274
- Biomedical Engineering 328
- Polymers and Plastics 85
- Sensory Systems 22
Countries citing papers authored by Romain Nith
This map shows the geographic impact of Romain Nith'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 Romain Nith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romain Nith more than expected).
Fields of papers citing papers by Romain Nith
This network shows the impact of papers produced by Romain Nith. 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 Romain Nith. The network helps show where Romain Nith may publish in the future.
Co-authors
The 25 scholars most cited alongside Romain Nith, 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 | A stretchable and strain-unperturbed pressure sensor for motion interference–free tactile monitoring on skins Hit paper breakdown → | 2021 | 302 |
| 2 | 2021 | 52 | |
| 3 | 2021 | 41 | |
| 4 | 2021 | 40 | |
| 5 | 2021 | 36 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2025 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2026 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2026 | 0 |
About Romain Nith
Romain Nith is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Mechanical Engineering, Biomedical Engineering and Social Psychology, having authored 19 papers that have together received 551 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (11 papers), Interactive and Immersive Displays (8 papers), Teleoperation and Haptic Systems (6 papers), Virtual Reality Applications and Impacts (3 papers), Muscle activation and electromyography studies (3 papers), Human-Automation Interaction and Safety (2 papers), Motor Control and Adaptation (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Human-Computer Interaction (161 citations), Cognitive Neuroscience (274 citations), Biomedical Engineering (328 citations), Polymers and Plastics (85 citations) and Sensory Systems (22 citations). Romain Nith has collaborated with scholars based in United States and China. Frequent co-authors include Pedro Lopes, Shan-Yuan Teng, Alex Mazursky, Jie Xu, Youdi Liu, Ping Cheng, Pengyu Li, Nan Li, Wei Liu and Qi Su. Their work appears in journals such as Science Advances, Journal of Neuroscience, Nature Chemical Engineering, Open MIND and arXiv (Cornell University).
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.