Cosimo Gentile

1.0k citations
26 papers · 620 · h-index 11

Impact in

    • EEG and Brain-Computer Interfaces
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics

Papers in

Cosimo Gentile

25 papers receiving 606 citations

Peers

Cosimo Gentile
Comparison fields: 5 of 79
  • Cognitive Neuroscience 90
  • Molecular Biology 306
  • Biomedical Engineering 187
  • Cellular and Molecular Neuroscience 73
  • Hepatology 18
Replace Marko Vuskovic with:
Marko Vuskovic United States
Qinglong Wang China
Tarun E. Hutchinson United States
Yilin Ma China
Baiyang Wang China
Ruchi Sharma India
Kento Mizutani Japan
Mary Goodwin-Trotman United Kingdom
Benjamin F. Johnson United States
Claire Bernat France
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Citations per field
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Citations per year

Countries citing papers authored by Cosimo Gentile

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cosimo Gentile Line = papers co-authored together Cosimo Gentile links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996306
2 201948
3 200837
4 200827
5 201626
6 202122
7 202121
8 202021
9 202019
10 202215
11 201811
12 20239
13 20098
14 20237
15 20097
16 20226
17 20225
18 20245
19 20234
20 20234

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 26 papers that have together received 620 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (15 papers), Neuroscience and Neural Engineering (7 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 (90 citations), Molecular Biology (306 citations), Biomedical Engineering (187 citations), Cellular and Molecular Neuroscience (73 citations) and Hepatology (18 citations). Cosimo Gentile has collaborated with scholars based in Italy, Brazil and Switzerland. Frequent co-authors include Meera Patturajan, Anton Yuryev, Ying Litingtung, Maha Μ. Gebara, Radhika Joshi, J L Corden, Loredana Zollo, Francesca Cordella, Emanuele Gruppioni and Eugenio Guglielmelli. Their work appears in journals such as Sensors, Frontiers in Neurorobotics, Vaccine, Robotics and Engineering Applications of Artificial Intelligence.

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.

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