Alberto Averna
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Neuroscience and Neural Engineering
Papers in
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- Neural dynamics and brain function 14
- EEG and Brain-Computer Interfaces 9
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- Neuroscience and Neural Engineering 13
- Co-authors
- Michela Chiappalone (15 shared papers)Alberto Priori (10 shared papers)Randolph J. Nudo (11 shared papers)David J. Guggenmos (11 shared papers)Ahmad Lotfi (5 shared papers)Mufti Mahmud (5 shared papers)Valentina Pasquale (5 shared papers)Stefano Buccelli (5 shared papers)
- Journals
- npj Parkinson s Disease (4 papers)Movement Disorders (2 papers)Clinical Neurophysiology (2 papers)Cerebral Cortex (2 papers)iScience (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Alberto Averna
31 papers receiving 347 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 155
- Cellular and Molecular Neuroscience 133
- Neurology 83
- Health Informatics 7
- Neurology 30
Countries citing papers authored by Alberto Averna
This map shows the geographic impact of Alberto Averna'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 Alberto Averna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Averna more than expected).
Fields of papers citing papers by Alberto Averna
This network shows the impact of papers produced by Alberto Averna. 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 Alberto Averna. The network helps show where Alberto Averna may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Averna, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 58 | |
| 2 | 2020 | 45 | |
| 3 | 2022 | 24 | |
| 4 | 2019 | 22 | |
| 5 | 2020 | 22 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2023 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2025 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 6 | |
| 20 | 2025 | 3 |
About Alberto Averna
Alberto Averna is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Electrical and Electronic Engineering and Clinical Psychology, having authored 33 papers that have together received 351 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Neuroscience and Neural Engineering (13 papers), Neurological disorders and treatments (12 papers), EEG and Brain-Computer Interfaces (9 papers), Advanced Memory and Neural Computing (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Neural Networks and Applications (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Cognitive Neuroscience (155 citations), Cellular and Molecular Neuroscience (133 citations), Neurology (83 citations), Health Informatics (7 citations) and Neurology (30 citations). Alberto Averna has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Michela Chiappalone, Alberto Priori, Randolph J. Nudo, David J. Guggenmos, Ahmad Lotfi, Mufti Mahmud, Valentina Pasquale, Stefano Buccelli, Timothée Levi and Paolo Massobrio. Their work appears in journals such as npj Parkinson s Disease, Movement Disorders, Clinical Neurophysiology, Cerebral Cortex and iScience.
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.