Germán Mato

48 papers and 2.0k indexed citations i.

About

Germán Mato is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Germán Mato has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 19 papers in Statistical and Nonlinear Physics and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Germán Mato’s work include Neural dynamics and brain function (27 papers), stochastic dynamics and bifurcation (12 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Germán Mato is often cited by papers focused on Neural dynamics and brain function (27 papers), stochastic dynamics and bifurcation (12 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Germán Mato collaborates with scholars based in Argentina, France and Israel. Germán Mato's co-authors include D. Hansel, C. Meunier, David Hansel, Benjamin Pfeuty, David Golomb, Néstor Parga, Claude Meunier, Jean‐Pierre Nadal, Antonio Turiel and Yimy Amarillo and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Germán Mato i

Fields of papers citing papers by Germán Mato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Germán Mato

Since Specialization
Citations

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