Antonio Galves

52 papers and 999 indexed citations i.

About

Antonio Galves is a scholar working on Mathematical Physics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Antonio Galves has authored 52 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mathematical Physics, 17 papers in Artificial Intelligence and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Antonio Galves’s work include Stochastic processes and statistical mechanics (19 papers), Markov Chains and Monte Carlo Methods (11 papers) and Theoretical and Computational Physics (10 papers). Antonio Galves is often cited by papers focused on Stochastic processes and statistical mechanics (19 papers), Markov Chains and Monte Carlo Methods (11 papers) and Theoretical and Computational Physics (10 papers). Antonio Galves collaborates with scholars based in Brazil, France and Italy. Antonio Galves's co-authors include Jack K. Hale, Carlos Rocha, Enzo Olivieri, Eva Löcherbach, M. Cassandro, Pierre Collet, E. Presutti, Maria Eulália Vares, Roberto Fernández and Xavier Bressaud and has published in prestigious journals such as Scientific Reports, Communications in Mathematical Physics and Ecological Modelling.

In The Last Decade

Co-authorship network of co-authors of Antonio Galves i

Fields of papers citing papers by Antonio Galves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antonio Galves

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025