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 16
- Advanced Sensor and Energy Harvesting Materials 2
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- Neuroscience and Neural Engineering 8
- Co-authors
- Ying Litingtung (1 shared paper)Anton Yuryev (1 shared paper)Radhika Joshi (1 shared paper)Meera Patturajan (1 shared paper)J L Corden (1 shared paper)Maha Μ. Gebara (1 shared paper)Loredana Zollo (14 shared papers)Francesca Cordella (12 shared papers)
- Journals
- Sensors (4 papers)Frontiers in Neurorobotics (2 papers)Vaccine (2 papers)IEEE Robotics and Automation Letters (1 paper)International Journal of Rehabilitation Research (1 paper)
- Partner nations
- ItalyBrazilSwitzerland
In The Last Decade
Cosimo Gentile
26 papers receiving 617 citations
Peers
Comparison fields: 5 of 79
- Cognitive Neuroscience 97
- Molecular Biology 307
- Biomedical Engineering 195
- Cellular and Molecular Neuroscience 76
- Hepatology 19
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 307 | |
| 2 | 2019 | 49 | |
| 3 | 2008 | 40 | |
| 4 | 2008 | 28 | |
| 5 | 2016 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2022 | 16 | |
| 11 | 2018 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2009 | 8 | |
| 15 | 2009 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Cosimo Gentile
Cosimo Gentile is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Control and Systems Engineering and Epidemiology, having authored 27 papers that have together received 634 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (16 papers), Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (7 papers), Robot Manipulation and Learning (5 papers), Influenza Virus Research Studies (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (97 citations), Molecular Biology (307 citations), Biomedical Engineering (195 citations), Cellular and Molecular Neuroscience (76 citations) and Hepatology (19 citations). Cosimo Gentile has collaborated with scholars based in Italy, Brazil and Switzerland. Frequent co-authors include Ying Litingtung, Anton Yuryev, Radhika Joshi, Meera Patturajan, J L Corden, Maha Μ. Gebara, Loredana Zollo, Francesca Cordella, Eugenio Guglielmelli and Emanuele Gruppioni. Their work appears in journals such as Sensors, Frontiers in Neurorobotics, Vaccine, IEEE Robotics and Automation Letters and International Journal of Rehabilitation Research.
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.