Giulia Corniani
Impact in
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
- Motor Control and Adaptation
Papers in
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- EEG and Brain-Computer Interfaces 2
- Tactile and Sensory Interactions 2
- Visual perception and processing mechanisms 1
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- Neuroscience and Neural Engineering 2
- Co-authors
- Hannes P. Saal (3 shared papers)Véronique Feipel (1 shared paper)Alberto Leardini (1 shared paper)Paolo Bonato (6 shared papers)Stefano Panzeri (1 shared paper)Roger Lewis (1 shared paper)Benoit P. Delhaye (1 shared paper)Alessandra Angelucci (2 shared papers)
- Journals
- Scientific Reports (2 papers)PLoS Computational Biology (1 paper)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)Gait & Posture (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Giulia Corniani
6 papers receiving 206 citations
Peers
Comparison fields: 5 of 64
- Human-Computer Interaction 37
- Cognitive Neuroscience 127
- Experimental and Cognitive Psychology 29
- Sensory Systems 8
- Social Psychology 33
Countries citing papers authored by Giulia Corniani
This map shows the geographic impact of Giulia Corniani'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 Giulia Corniani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Corniani more than expected).
Fields of papers citing papers by Giulia Corniani
This network shows the impact of papers produced by Giulia Corniani. 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 Giulia Corniani. The network helps show where Giulia Corniani may publish in the future.
Co-authors
The 23 scholars most cited alongside Giulia Corniani, 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 | 2020 | 180 | |
| 2 | 2024 | 14 | |
| 3 | 2022 | 9 | |
| 4 | 2024 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | Classification of EEG and fNIRS signals from Completely Locked-in State Patients for a Brain-Computer Interface communication system | 2018 | 0 |
| 10 | 2025 | 0 |
About Giulia Corniani
Giulia Corniani is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Neurology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 10 papers that have together received 207 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (2 papers), Balance, Gait, and Falls Prevention (2 papers), EEG and Brain-Computer Interfaces (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Muscle activation and electromyography studies (2 papers), Tactile and Sensory Interactions (2 papers), Visual perception and processing mechanisms (1 paper) and Optical Coherence Tomography Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (37 citations), Cognitive Neuroscience (127 citations), Experimental and Cognitive Psychology (29 citations), Sensory Systems (8 citations) and Social Psychology (33 citations). Giulia Corniani has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Hannes P. Saal, Véronique Feipel, Alberto Leardini, Paolo Bonato, Stefano Panzeri, Roger Lewis, Benoit P. Delhaye, Alessandra Angelucci, Adam S. Tenforde and Danilo Demarchi. Their work appears in journals such as Scientific Reports, PLoS Computational Biology, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Gait & Posture and Journal of Neurophysiology.
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.