Florencia Leonardi

18 papers and 102 indexed citations i.

About

Florencia Leonardi is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Florencia Leonardi has authored 18 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 4 papers in Molecular Biology. Recurrent topics in Florencia Leonardi’s work include Bayesian Methods and Mixture Models (8 papers), Algorithms and Data Compression (8 papers) and Markov Chains and Monte Carlo Methods (4 papers). Florencia Leonardi is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Algorithms and Data Compression (8 papers) and Markov Chains and Monte Carlo Methods (4 papers). Florencia Leonardi collaborates with scholars based in Brazil, Argentina and France. Florencia Leonardi's co-authors include Aurélien Garivier, Antonio Galves, Pierre Collet, Charlotte Galves, Jesús E. Garćıa, Nancy L. Garcia, Cláudia D. Vargas, Pablo A. Ferrari, Ricardo Fraiman and Ana Georgina Flesia and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and Journal of Statistical Physics.

In The Last Decade

Co-authorship network of co-authors of Florencia Leonardi i

Fields of papers citing papers by Florencia Leonardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Florencia Leonardi

Since Specialization
Citations

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