Francesco V. Tenore
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces 37
- Neural dynamics and brain function 14
- Tactile and Sensory Interactions 5
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- Neuroscience and Neural Engineering 46
- Biomedical Engineering top 5%
- Muscle activation and electromyography studies 17
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 2
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- Advanced Memory and Neural Computing 17
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- stochastic dynamics and bifurcation 3
- Co-authors
- Nitish V. ThakorR. Jacob VogelsteinSoumyadipta AcharyaRalph Etienne-CummingsRalph Etienne‐CummingsSliman J. Bensmaı̈aAnder RamosGregg A. Tabot
- Journals
- Proceedings of the National Academy of Sciences (2 papers)SHILAP Revista de lepidopterología (1 paper)Scientific Reports (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Francesco V. Tenore
49 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 1.2k
- Biomedical Engineering 886
- Human-Computer Interaction 110
- Electrical and Electronic Engineering 366
Countries citing papers authored by Francesco V. Tenore
This map shows the geographic impact of Francesco V. Tenore'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 Francesco V. Tenore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco V. Tenore more than expected).
Fields of papers citing papers by Francesco V. Tenore
This network shows the impact of papers produced by Francesco V. Tenore. 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 Francesco V. Tenore. The network helps show where Francesco V. Tenore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco V. Tenore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 29 | |
| 4 | 2023 | 39 | |
| 5 | 2023 | 25 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 36 | |
| 9 | 2015 | 54 | |
| 10 | 2015 | 30 | |
| 11 | 2014 | 47 | |
| 12 | 2013 | 213 | |
| 13 | 2013 | 80 | |
| 14 | 2011 | 89 | |
| 15 | 2009 | 28 | |
| 16 | 2009 | 18 | |
| 17 | 2009 | 1 | |
| 18 | 2008 | 261 | |
| 19 | 2007 | 116 | |
| 20 | 2006 | 22 |
About Francesco V. Tenore
Francesco V. Tenore is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (46 papers), EEG and Brain-Computer Interfaces (37 papers), Advanced Memory and Neural Computing (17 papers), Muscle activation and electromyography studies (17 papers), Neural dynamics and brain function (14 papers), Tactile and Sensory Interactions (5 papers), stochastic dynamics and bifurcation (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (1.2k citations) and Biomedical Engineering (886 citations). Francesco V. Tenore has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Nitish V. Thakor, R. Jacob Vogelstein, Soumyadipta Acharya, Ralph Etienne-Cummings, Ralph Etienne‐Cummings, Sliman J. Bensmaı̈a, Ander Ramos, Gregg A. Tabot, John F. Dammann and M. Anthony Lewis. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.
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.