Sonia Petrone

1.9k total citations
31 papers, 865 citations indexed

About

Sonia Petrone is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Sonia Petrone has authored 31 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 23 papers in Statistics and Probability and 3 papers in Mathematical Physics. Recurrent topics in Sonia Petrone's work include Bayesian Methods and Mixture Models (25 papers), Statistical Methods and Inference (17 papers) and Statistical Methods and Bayesian Inference (10 papers). Sonia Petrone is often cited by papers focused on Bayesian Methods and Mixture Models (25 papers), Statistical Methods and Inference (17 papers) and Statistical Methods and Bayesian Inference (10 papers). Sonia Petrone collaborates with scholars based in Italy, United States and United Kingdom. Sonia Petrone's co-authors include Giovanni De Petris, Patrizia Campagnoli, Larry Wasserman, Sara Wade, Alan E. Gelfand, Michele Guindani, Adrian E. Raftery, Judith Rousseau, Pietro Muliere and Lorenzo Trippa and has published in prestigious journals such as Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Statistical Software.

In The Last Decade

Sonia Petrone

30 papers receiving 800 citations

Peers

Sonia Petrone
Guang Cheng United States
Daniel Barry Ireland
Célestin C. Kokonendji France
Jan Mielniczuk Poland
M. Pourahmadi United States
Mohsen Pourahmadi United States
Taeryon Choi South Korea
Jin‐Ting Zhang Singapore
Hélio S. Migon Brazil
Hengjian Cui China
Guang Cheng United States
Sonia Petrone
Citations per year, relative to Sonia Petrone Sonia Petrone (= 1×) peers Guang Cheng

Countries citing papers authored by Sonia Petrone

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Petrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Petrone

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Petrone. A scholar is included among the top collaborators of Sonia Petrone 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 Sonia Petrone. Sonia Petrone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Petrone, Sonia, et al.. (2025). Exchangeability, Prediction and Predictive Modeling in Bayesian Statistics. Statistical Science. 40(1).
2.
Petrone, Sonia, et al.. (2022). Infinite-color randomly reinforced urns with dominant colors. Bernoulli. 29(1). 4 indexed citations
3.
Petrone, Sonia, et al.. (2021). Predictive Constructions Based on Measure-Valued Pólya Urn Processes. Mathematics. 9(22). 2845–2845. 3 indexed citations
4.
Petrone, Sonia, et al.. (2017). Predictive characterization of mixtures of Markov chains. Bernoulli. 23(3). 2 indexed citations
5.
Wade, Sara, David B. Dunson, Sonia Petrone, & Lorenzo Trippa. (2014). Improving prediction from dirichlet process mixtures via enrichment. Journal of Machine Learning Research. 15(1). 1041–1071. 28 indexed citations
6.
Petrone, Sonia, et al.. (2014). Empirical Bayes methods in classical and Bayesian inference. METRON. 72(2). 201–215. 16 indexed citations
7.
Lisi, Francesco, et al.. (2013). Complex Models and Computational Methods in Statistics. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations
8.
Petrone, Sonia, et al.. (2012). Predictive construction of priors in Bayesian nonparametrics. Brazilian Journal of Probability and Statistics. 26(4). 17 indexed citations
9.
Wade, Sara, et al.. (2011). An enriched conjugate prior for Bayesian nonparametric inference. Bayesian Analysis. 6(3). 359–385. 22 indexed citations
10.
Petrone, Sonia, et al.. (2010). Feller operators and mixture priors in Bayesian nonparametrics. 20. 379–404. 7 indexed citations
11.
Petris, Giovanni De, Sonia Petrone, & Patrizia Campagnoli. (2009). Dynamic Linear Models with R. Medical Entomology and Zoology. 172 indexed citations
12.
Campagnoli, Patrizia, Sonia Petrone, & Giovanni De Petris. (2009). Dynamic Linear Models with R. CERN Document Server (European Organization for Nuclear Research). 81 indexed citations
13.
Petrone, Sonia, Michele Guindani, & Alan E. Gelfand. (2009). Hybrid Dirichlet Mixture Models for Functional Data. Journal of the Royal Statistical Society Series B (Statistical Methodology). 71(4). 755–782. 53 indexed citations
14.
Trippa, Lorenzo, et al.. (2009). Extended Bernstein prior via reinforced urn processes. Annals of the Institute of Statistical Mathematics. 63(3). 481–496. 3 indexed citations
15.
Petrone, Sonia, et al.. (2002). Non parametric mixture priors based on an exponential random scheme. Statistical Methods & Applications. 11(1). 1–20. 1 indexed citations
16.
Campagnoli, Patrizia, Pietro Muliere, & Sonia Petrone. (2001). Generalized dynamic linear models for financial time series. Applied Stochastic Models in Business and Industry. 17(1). 27–39. 1 indexed citations
17.
Roberts, Gareth O., Sonia Petrone, & Jeffrey S. Rosenthal. (2000). Rates of convergence for Markov chains associated with Dirichlet processes.. Lancaster EPrints (Lancaster University). 1 indexed citations
18.
Petrone, Sonia. (1999). Random Bernstein Polynomials. Scandinavian Journal of Statistics. 26(3). 373–393. 92 indexed citations
19.
Petrone, Sonia, Gareth O. Roberts, & Jeffrey S. Rosenthal. (1999). A note on convergence rates of Gibbs sampling for nonparametric mixtures.. 3(2). 213–225. 2 indexed citations
20.
Petrone, Sonia & Adrian E. Raftery. (1997). A note on the Dirichlet process prior in Bayesian nonparametric inference with partial exchangeability. Statistics & Probability Letters. 36(1). 69–83. 34 indexed citations

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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