Cosimo Gentile
Impact in
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- EEG and Brain-Computer Interfaces
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
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- Muscle activation and electromyography studies 15
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- EEG and Brain-Computer Interfaces 8
- Motor Control and Adaptation 2
- Co-authors
- Anton Yuryev (1 shared paper)J L Corden (1 shared paper)Ying Litingtung (1 shared paper)Radhika Joshi (1 shared paper)Maha Μ. Gebara (1 shared paper)Meera Patturajan (1 shared paper)Loredana Zollo (13 shared papers)Francesca Cordella (11 shared papers)
- Journals
- Sensors (4 papers)Vaccine (2 papers)Frontiers in Neurorobotics (2 papers)HIV Medicine (1 paper)Robotics (1 paper)
- Partner nations
- ItalyBrazilUnited States
In The Last Decade
Cosimo Gentile
25 papers receiving 595 citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 97
- Molecular Biology 313
- Cellular and Molecular Neuroscience 82
- Biomedical Engineering 182
- Hepatology 27
Countries citing papers authored by Cosimo Gentile
This map shows the geographic impact of Cosimo Gentile'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 Cosimo Gentile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cosimo Gentile more than expected).
Fields of papers citing papers by Cosimo Gentile
This network shows the impact of papers produced by Cosimo Gentile. 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 Cosimo Gentile. The network helps show where Cosimo Gentile may publish in the future.
Co-authors
The 25 scholars most cited alongside Cosimo Gentile, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 306 | |
| 2 | 2019 | 47 | |
| 3 | 2008 | 36 | |
| 4 | 2008 | 27 | |
| 5 | 2016 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2022 | 15 | |
| 11 | 2018 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2009 | 8 | |
| 14 | 2009 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2008 | 3 |
About Cosimo Gentile
Cosimo Gentile is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Control and Systems Engineering and Epidemiology, having authored 26 papers that have together received 610 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (15 papers), Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (8 papers), Robot Manipulation and Learning (6 papers), Influenza Virus Research Studies (3 papers), Motor Control and Adaptation (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Nerve Injury and Rehabilitation (2 papers). The work is most often cited by research in Cognitive Neuroscience (97 citations), Molecular Biology (313 citations), Cellular and Molecular Neuroscience (82 citations), Biomedical Engineering (182 citations) and Hepatology (27 citations). Cosimo Gentile has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Anton Yuryev, J L Corden, Ying Litingtung, Radhika Joshi, Maha Μ. Gebara, Meera Patturajan, Loredana Zollo, Francesca Cordella, Emanuele Gruppioni and Eugenio Guglielmelli. Their work appears in journals such as Sensors, Vaccine, Frontiers in Neurorobotics, HIV Medicine and Robotics.
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.