Magali Ribot

28 papers and 310 indexed citations i.

About

Magali Ribot is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Magali Ribot has authored 28 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 6 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Magali Ribot’s work include Mathematical Biology Tumor Growth (10 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). Magali Ribot is often cited by papers focused on Mathematical Biology Tumor Growth (10 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). Magali Ribot collaborates with scholars based in France, Italy and Spain. Magali Ribot's co-authors include Roberto Natalini, Clément Sire, Olivier Bernard, Carole Rosier, Pierre-Henri Chavanis, Christian Muchardt, Jean-Christophe Dantonel, Virginie Roure, Gabriella Bretti and Thierry Goudon and has published in prestigious journals such as Molecular Cell, Journal of Theoretical Biology and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Magali Ribot i

Fields of papers citing papers by Magali Ribot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Magali Ribot

Since Specialization
Citations

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