María J. Cáceres

27 papers and 486 indexed citations i.

About

María J. Cáceres is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Applied Mathematics. According to data from OpenAlex, María J. Cáceres has authored 27 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 11 papers in Cognitive Neuroscience and 10 papers in Applied Mathematics. Recurrent topics in María J. Cáceres’s work include Neural dynamics and brain function (11 papers), stochastic dynamics and bifurcation (11 papers) and Gas Dynamics and Kinetic Theory (9 papers). María J. Cáceres is often cited by papers focused on Neural dynamics and brain function (11 papers), stochastic dynamics and bifurcation (11 papers) and Gas Dynamics and Kinetic Theory (9 papers). María J. Cáceres collaborates with scholars based in Spain, France and Italy. María J. Cáceres's co-authors include José A. Carrillo, Benoı̂t Perthame, Marzia Bisi, José A. Cañizo, Giuseppe Toscani, Stéphane Mischler, Thierry Goudon, Julien Chevallier, Patricia Reynaud-Bouret and Louis Tao and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Communications in Mathematical Physics.

In The Last Decade

Co-authorship network of co-authors of María J. Cáceres i

Fields of papers citing papers by María J. Cáceres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María J. Cáceres. 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 María J. Cáceres. The network helps show where María J. Cáceres may publish in the future.

Countries citing papers authored by María J. Cáceres

Since Specialization
Citations

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