Stefano Cardanobile
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 10
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- stochastic dynamics and bifurcation 6
- Applied Mathematics top 10%
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- Advanced MEMS and NEMS Technologies 6
- Advanced Memory and Neural Computing 2
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- Mechanical and Optical Resonators 6
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- Gene Regulatory Network Analysis 2
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- Advanced Mathematical Modeling in Engineering 2
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- Acoustic Wave Resonator Technologies 2
Stefano Cardanobile
20 papers receiving 485 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 280
- Cellular and Molecular Neuroscience 196
- Statistical and Nonlinear Physics 128
- Neurology 83
- Applied Mathematics 38
Countries citing papers authored by Stefano Cardanobile
This map shows the geographic impact of Stefano Cardanobile'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 Stefano Cardanobile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Cardanobile more than expected).
Fields of papers citing papers by Stefano Cardanobile
This network shows the impact of papers produced by Stefano Cardanobile. 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 Stefano Cardanobile. The network helps show where Stefano Cardanobile may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Stefano Cardanobile, 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 | 2018 | 9 | |
| 2 | 2018 | 9 | |
| 3 | 2017 | 4 | |
| 4 | 2017 | 10 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 10 | |
| 7 | 2014 | 10 | |
| 8 | 2013 | 21 | |
| 9 | 2012 | 44 | |
| 10 | 2012 | 4 | |
| 11 | 2011 | 4 | |
| 12 | 2011 | 182 | |
| 13 | 2011 | 98 | |
| 14 | 2011 | 4 | |
| 15 | 2010 | 15 | |
| 16 | 2010 | 16 | |
| 17 | 2009 | 17 | |
| 18 | 2009 | 5 | |
| 19 | 2009 | 4 | |
| 20 | 2007 | 20 |
About Stefano Cardanobile
Stefano Cardanobile is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Mathematical Physics, Atomic and Molecular Physics, and Optics and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 493 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Advanced MEMS and NEMS Technologies (6 papers), stochastic dynamics and bifurcation (6 papers), Mechanical and Optical Resonators (6 papers), Gene Regulatory Network Analysis (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Acoustic Wave Resonator Technologies (2 papers). The work is most often cited by research in Cognitive Neuroscience (280 citations), Cellular and Molecular Neuroscience (196 citations), Statistical and Nonlinear Physics (128 citations), Neurology (83 citations) and Applied Mathematics (38 citations). Stefano Cardanobile has collaborated with scholars based in Germany and Japan. Frequent co-authors include Stefan Rotter, Volker Pernice, Benjamin Staude, Arvind Kumar, Ad Aertsen, Delio Mugnolo, Moritz Deger, Jan Mehner, Moritz Helias and Fatihcan M. Atay. Their work appears in journals such as SpringerPlus, Mathematical Methods in the Applied Sciences, Frontiers in Systems Neuroscience, Journal of Computational Neuroscience and BMC 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.