Matteo di Volo

30 papers and 450 indexed citations i.

About

Matteo di Volo is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Matteo di Volo has authored 30 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 20 papers in Statistical and Nonlinear Physics and 12 papers in Computer Networks and Communications. Recurrent topics in Matteo di Volo’s work include Neural dynamics and brain function (30 papers), stochastic dynamics and bifurcation (20 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Matteo di Volo is often cited by papers focused on Neural dynamics and brain function (30 papers), stochastic dynamics and bifurcation (20 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Matteo di Volo collaborates with scholars based in France, Italy and Russia. Matteo di Volo's co-authors include Alessandro Torcini, Alain Destexhe, Cristiano Capone, Denis S. Goldobin, Raffaella Burioni, A. Vezzani, Roberto Livi, Alberto Romagnoni, Antonio Politi and Mario Casartelli and has published in prestigious journals such as Physical Review Letters, Nature Communications and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Matteo di Volo i

Fields of papers citing papers by Matteo di Volo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo di Volo. 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 Matteo di Volo. The network helps show where Matteo di Volo may publish in the future.

Countries citing papers authored by Matteo di Volo

Since Specialization
Citations

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

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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2025