Florencia Leonardi

60 total papers · 401 total citations
16 papers, 97 citations indexed

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 16 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Florencia Leonardi's work include Algorithms and Data Compression (8 papers), Bayesian Methods and Mixture Models (8 papers) and Machine Learning and Algorithms (3 papers). Florencia Leonardi is often cited by papers focused on Algorithms and Data Compression (8 papers), Bayesian Methods and Mixture Models (8 papers) and Machine Learning and Algorithms (3 papers). Florencia Leonardi collaborates with scholars based in Brazil, Argentina and France. Florencia Leonardi's co-authors include Aurélien Garivier, Antonio Galves, Charlotte Galves, Nancy L. Garcia, Jesús E. Garćıa, Pierre Collet, Daniel Fraiman, Pablo A. Ferrari, Ana Georgina Flesia and Ricardo Fraiman and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and Journal of Statistical Physics.

In The Last Decade

Florencia Leonardi

15 papers receiving 93 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Florencia Leonardi 62 21 16 13 10 16 97
Niklas Pfister 46 0.7× 30 1.4× 17 1.1× 4 0.3× 8 0.8× 9 111
Andrej Risteski 155 2.5× 6 0.3× 6 0.4× 4 0.3× 15 1.5× 17 215
Gertraud Malsiner‐Walli 129 2.1× 23 1.1× 83 5.2× 2 0.2× 25 2.5× 14 223
Mesrob I. Ohannessian 50 0.8× 8 0.4× 6 0.4× 4 0.3× 6 0.6× 16 116
Matthäus Kleindeßner 58 0.9× 7 0.3× 4 0.3× 3 0.2× 3 0.3× 12 113
Mary Cryan 65 1.0× 11 0.5× 54 3.4× 3 0.2× 13 1.3× 16 122
Sara Magliacane 58 0.9× 4 0.2× 12 0.8× 3 0.2× 2 0.2× 16 106
Karl Schultz 165 2.7× 16 0.8× 4 0.3× 10 0.8× 17 1.7× 17 215
Murat A. Erdogdu 47 0.8× 2 0.1× 43 2.7× 9 0.7× 4 0.4× 20 113
Eric Nalisnick 172 2.8× 9 0.4× 4 0.3× 3 0.2× 7 0.7× 19 213

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).

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.

Co-authorship network of co-authors of Florencia Leonardi

This figure shows the co-authorship network connecting the top 25 collaborators of Florencia Leonardi. A scholar is included among the top collaborators of Florencia Leonardi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florencia Leonardi. Florencia Leonardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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