Francesco Ventriglia
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 30
- Memory and Neural Mechanisms 4
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- Neuroscience and Neuropharmacology Research 23
- Photoreceptor and optogenetics research 12
- Neurotransmitter Receptor Influence on Behavior 2
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- stochastic dynamics and bifurcation 7
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- Neural Networks and Applications 11
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- Lipid Membrane Structure and Behavior 6
- Journals
- Biosystems (10 papers)Biological Cybernetics (6 papers)Bulletin of Mathematical Biology (6 papers)
- Partner nations
- ItalyHungaryUnited States
In The Last Decade
Francesco Ventriglia
38 papers receiving 412 citations
Peers
Comparison fields: 5 of 43
- Cognitive Neuroscience 313
- Cellular and Molecular Neuroscience 259
- Statistical and Nonlinear Physics 47
- Artificial Intelligence 89
- Molecular Biology 99
Countries citing papers authored by Francesco Ventriglia
This map shows the geographic impact of Francesco Ventriglia'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 Ventriglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Ventriglia more than expected).
Fields of papers citing papers by Francesco Ventriglia
This network shows the impact of papers produced by Francesco Ventriglia. 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 Ventriglia. The network helps show where Francesco Ventriglia may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Francesco Ventriglia, 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 | 2020 | 7 | |
| 2 | 2018 | 4 | |
| 3 | 2018 | 12 | |
| 4 | 2016 | 14 | |
| 5 | 2016 | 3 | |
| 6 | 2016 | 18 | |
| 7 | 2015 | 8 | |
| 8 | 2014 | 5 | |
| 9 | 2013 | 11 | |
| 10 | 2011 | 17 | |
| 11 | 2008 | 6 | |
| 12 | 2006 | 2 | |
| 13 | 2004 | 11 | |
| 14 | 2003 | 20 | |
| 15 | 2003 | 21 | |
| 16 | 2002 | 20 | |
| 17 | 2000 | 25 | |
| 18 | 2000 | 30 | |
| 19 | 1998 | 5 | |
| 20 | 1990 | 20 |
About Francesco Ventriglia
Francesco Ventriglia is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 40 papers that have together received 422 indexed citations. Recurring topics across this work include Neural dynamics and brain function (30 papers), Neuroscience and Neuropharmacology Research (23 papers), Photoreceptor and optogenetics research (12 papers), Neural Networks and Applications (11 papers), stochastic dynamics and bifurcation (7 papers), Lipid Membrane Structure and Behavior (6 papers), Memory and Neural Mechanisms (4 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Cognitive Neuroscience (313 citations), Cellular and Molecular Neuroscience (259 citations), Statistical and Nonlinear Physics (47 citations), Artificial Intelligence (89 citations) and Molecular Biology (99 citations). Francesco Ventriglia has collaborated with scholars based in Italy, Hungary and United States. Frequent co-authors include Vito Di Maio, Luigi M. Ricciardi, Péter Adorján, Ádám Kepecs, Máté Lengyel, G. Barna and P. Érdi. Their work appears in journals such as Biosystems, Biological Cybernetics, Bulletin of Mathematical Biology, Brain Research and Journal of Computational Neuroscience.
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.