Carmelo Sferrazza
Impact in
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
- Human-Computer Interaction top 10%
- Interactive and Immersive Displays
Papers in
-
- Robot Manipulation and Learning 6
- Control Systems and Identification 3
- Advanced Control Systems Optimization 3
- Adaptive Control of Nonlinear Systems 2
-
- Advanced Sensor and Energy Harvesting Materials 5
- Co-authors
- Raffaello D’Andrea (11 shared papers)Adam Wahlsten (1 shared paper)Michael Muehlebach (3 shared papers)Peter Werner (1 shared paper)Pieter Abbeel (5 shared papers)Xingyu Lin (1 shared paper)Youngwoon Lee (2 shared papers)Jonas Buchli (1 shared paper)
- Journals
- Soft Robotics (1 paper)IEEE Access (1 paper)Sensors (1 paper)IEEE Robotics and Automation Letters (1 paper)Optimal Control Applications and Methods (1 paper)
- Partner nations
- SwitzerlandUnited StatesSouth Korea
In The Last Decade
Carmelo Sferrazza
17 papers receiving 282 citations
Peers
Comparison fields: 5 of 35
- Cognitive Neuroscience 164
- Human-Computer Interaction 37
- Control and Systems Engineering 106
- Biomedical Engineering 170
- Bioengineering 8
Countries citing papers authored by Carmelo Sferrazza
This map shows the geographic impact of Carmelo Sferrazza'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 Carmelo Sferrazza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmelo Sferrazza more than expected).
Fields of papers citing papers by Carmelo Sferrazza
This network shows the impact of papers produced by Carmelo Sferrazza. 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 Carmelo Sferrazza. The network helps show where Carmelo Sferrazza may publish in the future.
Co-authors
The 22 scholars most cited alongside Carmelo Sferrazza, 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 | 98 | |
| 2 | 2019 | 57 | |
| 3 | 2021 | 30 | |
| 4 | 2021 | 24 | |
| 5 | 2022 | 13 | |
| 6 | 2020 | 11 | |
| 7 | 2017 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 |
About Carmelo Sferrazza
Carmelo Sferrazza is a scholar working on Control and Systems Engineering, Biomedical Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 282 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Tactile and Sensory Interactions (4 papers), Control Systems and Identification (3 papers), Advanced Control Systems Optimization (3 papers), Adaptive Control of Nonlinear Systems (2 papers), Teleoperation and Haptic Systems (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (164 citations), Human-Computer Interaction (37 citations), Control and Systems Engineering (106 citations), Biomedical Engineering (170 citations) and Bioengineering (8 citations). Carmelo Sferrazza has collaborated with scholars based in Switzerland, United States and South Korea. Frequent co-authors include Raffaello D’Andrea, Adam Wahlsten, Michael Muehlebach, Peter Werner, Pieter Abbeel, Xingyu Lin, Youngwoon Lee, Jonas Buchli, Stefano Mintchev and Diego Pardo. Their work appears in journals such as Soft Robotics, IEEE Access, Sensors, IEEE Robotics and Automation Letters and Optimal Control Applications and Methods.
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.