Florencia Leonardi
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- Statistical Methods and Inference 2
- Markov Chains and Monte Carlo Methods 2
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- Bayesian Methods and Mixture Models 8
- Algorithms and Data Compression 8
- Machine Learning and Algorithms 3
- Natural Language Processing Techniques 2
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- Stochastic processes and statistical mechanics 2
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- Genetic Mapping and Diversity in Plants and Animals 2
Florencia Leonardi
15 papers receiving 85 citations
Peers
Comparison fields: 5 of 41
- Statistics and Probability 15
- Artificial Intelligence 55
- Mathematical Physics 6
- Signal Processing 7
- Cognitive Neuroscience 10
Countries citing papers authored by Florencia Leonardi
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
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
The 16 scholars most cited alongside Florencia Leonardi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 2 | |
| 4 | 2020 | 3 | |
| 5 | 2018 | 4 | |
| 6 | 2017 | 7 | |
| 7 | 2014 | 1 | |
| 8 | 2014 | 2 | |
| 9 | 2012 | 21 | |
| 10 | 2011 | 10 | |
| 11 | 2010 | 6 | |
| 12 | 2009 | 10 | |
| 13 | 2008 | 4 | |
| 14 | On the rate of convergence of penalized likelihood context tree estimators | 2007 | 1 |
| 15 | 2006 | 15 | |
| 16 | [The estimation of p50 by the algorithm proposed by Siggard-Andersen. Its experimental assessment in critical patients]. | 1992 | 1 |
About Florencia Leonardi
Florencia Leonardi is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics, having authored 16 papers that have together received 89 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (8 papers), Algorithms and Data Compression (8 papers), Machine Learning and Algorithms (3 papers), Stochastic processes and statistical mechanics (2 papers), Statistical Methods and Inference (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Natural Language Processing Techniques (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Statistics and Probability (15 citations), Artificial Intelligence (55 citations) and Mathematical Physics (6 citations). Florencia Leonardi has collaborated with scholars based in Brazil, Argentina and France. Frequent co-authors include Antonio Galves, Aurélien Garivier, Nancy L. Garcia, Charlotte Galves, Jesús E. Garćıa, Pierre Collet, Ricardo Fraiman, Pablo A. Ferrari, Ana Georgina Flesia and Tábita Hünemeier. Their work appears in journals such as Bioinformatics, The Annals of Applied Statistics, Stochastic Processes and their Applications, The Annals of Applied Probability and Scandinavian Journal of Statistics.
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.