Giulia Cisotto
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- EEG and Brain-Computer Interfaces 18
- Neural dynamics and brain function 4
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- Age of Information Optimization 7
- Co-authors
- Leonardo Badia (14 shared papers)Marianna Cavinato (4 shared papers)Francesco Piccione (5 shared papers)Stefano Silvoni (4 shared papers)Dr. Ander Ramos-Murguialday (2 shared papers)Andrea Turolla (2 shared papers)Chiara Volpato (2 shared papers)Niels Birbaumer (1 shared paper)
In The Last Decade
Giulia Cisotto
35 papers receiving 472 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 239
- Human-Computer Interaction 44
- Cellular and Molecular Neuroscience 107
- Computer Networks and Communications 104
- Rehabilitation 24
Countries citing papers authored by Giulia Cisotto
This map shows the geographic impact of Giulia Cisotto'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 Cisotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Cisotto more than expected).
Fields of papers citing papers by Giulia Cisotto
This network shows the impact of papers produced by Giulia Cisotto. 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 Cisotto. The network helps show where Giulia Cisotto may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Cisotto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 180 | |
| 2 | 2020 | 50 | |
| 3 | 2018 | 29 | |
| 4 | 2018 | 26 | |
| 5 | 2018 | 22 | |
| 6 | 2016 | 18 | |
| 7 | 2023 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2013 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2020 | 5 |
About Giulia Cisotto
Giulia Cisotto is a scholar working on Cognitive Neuroscience, Computer Networks and Communications, Human-Computer Interaction, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 41 papers that have together received 490 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neuroscience and Neural Engineering (8 papers), Muscle activation and electromyography studies (7 papers), Age of Information Optimization (7 papers), Gaze Tracking and Assistive Technology (5 papers), Wireless Body Area Networks (5 papers), IoT Networks and Protocols (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cognitive Neuroscience (239 citations), Human-Computer Interaction (44 citations), Cellular and Molecular Neuroscience (107 citations), Computer Networks and Communications (104 citations) and Rehabilitation (24 citations). Giulia Cisotto has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Leonardo Badia, Marianna Cavinato, Francesco Piccione, Stefano Silvoni, Dr. Ander Ramos-Murguialday, Andrea Turolla, Chiara Volpato, Niels Birbaumer, Stefano Tomasin and Silvano Pupolin. Their work appears in journals such as Frontiers in Neurology, Sensors, IEEE Wireless Communications, Frontiers in Neuroinformatics and Clinical EEG and Neuroscience.
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.