Fernando Corinto

132 papers receiving 2.2k citations

Peers

Fernando Corinto
Comparison fields: 5 of 76
  • Statistical and Nonlinear Physics 883
  • Cognitive Neuroscience 780
  • Cellular and Molecular Neuroscience 666
  • Electrical and Electronic Engineering 1.8k
  • Computer Networks and Communications 665
Replace Guangyi Wang with:
Guangyi Wang China
Maheshwar Pd. Sah South Korea
Marco Gilli Italy
Alon Ascoli Germany
Qinghui Hong China
Zdeněk Biolek Czechia
Bharathwaj Muthuswamy United States
Sung Mo Kang United States
Yuan Fang China
Sung-Mo Kang United States
Fernando Corinto relative to Guangyi Wang China Guangyi Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fernando Corinto

Since Specialization
Citations

This map shows the geographic impact of Fernando Corinto'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 Fernando Corinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Corinto more than expected).

Fields of papers citing papers by Fernando Corinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Corinto. 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 Fernando Corinto. The network helps show where Fernando Corinto may publish in the future.

Co-authors

The 25 scholars most cited alongside Fernando Corinto, 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 Fernando Corinto Line = papers co-authored together Fernando Corinto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011275
2 2012152
3 2013140
4 2012122
5 2016103
6 2017102
7 201596
8 201260
9 201555
10 201352
11 202044
12 201839
13 201536
14 201734
15 201529
16 200429
17 201729
18 202029
19 201826
20 201325

About Fernando Corinto

Fernando Corinto is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 151 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (91 papers), Neural dynamics and brain function (67 papers), Nonlinear Dynamics and Pattern Formation (49 papers), stochastic dynamics and bifurcation (42 papers), Neural Networks Stability and Synchronization (34 papers), Neuroscience and Neural Engineering (25 papers), Photoreceptor and optogenetics research (16 papers) and Chaos control and synchronization (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (883 citations), Cognitive Neuroscience (780 citations), Cellular and Molecular Neuroscience (666 citations), Electrical and Electronic Engineering (1.8k citations) and Computer Networks and Communications (665 citations). Fernando Corinto has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alon Ascoli, Marco Gilli, Mauro Forti, Ronald Tetzlaff, Michele Bonnin, Leon O. Chua, Pier Paolo Civalleri, Alessandro Torcini, Mauro Di Marco and Mauro Poggio. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, International Journal of Circuit Theory and Applications, International Journal of Bifurcation and Chaos, IEEE Transactions on Circuits & Systems II Express Briefs and Advanced Electronic Materials.

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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