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 16
- Neural dynamics and brain function 5
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- Age of Information Optimization 7
- Co-authors
- Leonardo Badia (12 shared papers)Francesco Piccione (5 shared papers)Marianna Cavinato (4 shared papers)Ander Ramos‐Murguialday (2 shared papers)Chiara Volpato (2 shared papers)Stefano Silvoni (4 shared papers)Andrea Turolla (2 shared papers)Niels Birbaumer (1 shared paper)
In The Last Decade
Giulia Cisotto
29 papers receiving 380 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 193
- Human-Computer Interaction 39
- Cellular and Molecular Neuroscience 99
- Computer Networks and Communications 97
- Rehabilitation 27
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 153 | |
| 2 | 2020 | 47 | |
| 3 | 2018 | 26 | |
| 4 | 2018 | 23 | |
| 5 | 2016 | 17 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2013 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Giulia Cisotto
Giulia Cisotto is a scholar working on Cognitive Neuroscience, Computer Networks and Communications, Biomedical Engineering, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 36 papers that have together received 394 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Neuroscience and Neural Engineering (8 papers), Age of Information Optimization (7 papers), Muscle activation and electromyography studies (6 papers), Gaze Tracking and Assistive Technology (5 papers), IoT Networks and Protocols (5 papers), Neural dynamics and brain function (5 papers) and Wireless Body Area Networks (4 papers). The work is most often cited by research in Cognitive Neuroscience (193 citations), Human-Computer Interaction (39 citations), Cellular and Molecular Neuroscience (99 citations), Computer Networks and Communications (97 citations) and Rehabilitation (27 citations). Giulia Cisotto has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Leonardo Badia, Francesco Piccione, Marianna Cavinato, Ander Ramos‐Murguialday, Chiara Volpato, Stefano Silvoni, Andrea Turolla, Niels Birbaumer, Stefano Tomasin and Silvano Pupolin. Their work appears in journals such as Ad Hoc Networks, Scientific Reports, IEEE Wireless Communications, Computer Communications and PeerJ Computer Science.
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.