Stefano Favaro

865 total citations
60 papers, 452 citations indexed

About

Stefano Favaro is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Stefano Favaro has authored 60 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 35 papers in Statistics and Probability and 10 papers in Mathematical Physics. Recurrent topics in Stefano Favaro's work include Bayesian Methods and Mixture Models (45 papers), Statistical Methods and Inference (17 papers) and Statistical Methods and Bayesian Inference (15 papers). Stefano Favaro is often cited by papers focused on Bayesian Methods and Mixture Models (45 papers), Statistical Methods and Inference (17 papers) and Statistical Methods and Bayesian Inference (15 papers). Stefano Favaro collaborates with scholars based in Italy, United Kingdom and United States. Stefano Favaro's co-authors include Igor Prünster, Yee Whye Teh, Antonio Lijoi, Ramsés H. Mena, Stephen G. Walker, Pierpaolo De Blasi, Lorenzo Trippa, Sergio Bacallado, Stephen G. Walker and Shui Feng and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Stefano Favaro

53 papers receiving 438 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stefano Favaro Italy	11	368	256	77	51	37	60	452
Ramsés H. Mena Mexico	14	592 1.6×	429 1.7×	70 0.9×	72 1.4×	85 2.3×	46	723
Mahmoud Zarepour Canada	8	294 0.8×	213 0.8×	33 0.4×	28 0.5×	57 1.5×	23	383
Yingli Qin Canada	6	166 0.5×	348 1.4×	22 0.3×	77 1.5×	18 0.5×	7	443
Ping-Shou Zhong United States	8	133 0.4×	343 1.3×	28 0.4×	41 0.8×	25 0.7×	14	400
Albert Y. Lo United States	13	770 2.1×	738 2.9×	67 0.9×	47 0.9×	90 2.4×	24	973
Valeri T. Stefanov Australia	11	140 0.4×	101 0.4×	62 0.8×	73 1.4×	43 1.2×	45	337
Igor Prünster Italy	19	1.1k 3.0×	853 3.3×	188 2.4×	115 2.3×	137 3.7×	61	1.3k
Fabrizio Leisen United Kingdom	11	179 0.5×	161 0.6×	34 0.4×	10 0.2×	73 2.0×	34	287
Raúl Gouet Chile	10	73 0.2×	114 0.4×	128 1.7×	15 0.3×	47 1.3×	32	299
Yannick Baraud France	10	128 0.3×	322 1.3×	21 0.3×	16 0.3×	53 1.4×	20	408

Countries citing papers authored by Stefano Favaro

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Favaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Favaro

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

All Works

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20 of 20 papers shown

Bercu, Bernard & Stefano Favaro. (2024). A martingale approach to Gaussian fluctuations and laws of iterated logarithm for Ewens–Pitman model. Stochastic Processes and their Applications. 178. 104493–104493.

Favaro, Stefano, et al.. (2023). Near-optimal estimation of the unseen under regularly varying tail populations. Bernoulli. 29(4). 4 indexed citations

Favaro, Stefano, et al.. (2022). Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation. Journal of the American Statistical Association. 119(545). 320–331. 2 indexed citations

Favaro, Stefano, et al.. (2021). Consistent estimation of small masses in feature sampling. Journal of Machine Learning Research. 22(6). 1–28. 1 indexed citations

Maritan, Amos, et al.. (2021). Upscaling human activity data: A statistical ecology approach. PLoS ONE. 16(7). e0253461–e0253461. 1 indexed citations

Favaro, Stefano, et al.. (2021). Large-width functional asymptotics for deep Gaussian neural networks. arXiv (Cornell University). 1 indexed citations

Dumitrascu, Bianca, et al.. (2020). Nonparametric bayesian multiarmed bandits for single-cell experiment design. BOA (University of Milano-Bicocca). 5 indexed citations

Favaro, Stefano, et al.. (2020). Stable behaviour of infinitely wide deep neural networks.. International Conference on Artificial Intelligence and Statistics. 1137–1146. 1 indexed citations

Favaro, Stefano, Shui Feng, & Paul A. Jenkins. (2019). Bayesian nonparametric analysis of Kingman’s coalescent. Institutional Research Information System University of Turin (University of Turin).

10.

Favaro, Stefano, et al.. (2019). Neural Stochastic Differential Equations.. arXiv (Cornell University). 1 indexed citations

11.

Elliott, Lloyd T., Maria De Iorio, Stefano Favaro, Kaustubh Adhikari, & Yee Whye Teh. (2018). Modeling Population Structure Under Hierarchical Dirichlet Processes. Bayesian Analysis. 14(2). 4 indexed citations

12.

Favaro, Stefano & Stephen G. Walker. (2017). On a general Maclaurin’s inequality. Proceedings of the American Mathematical Society. 146(1). 175–188.

13.

Favaro, Stefano, et al.. (2015). On the Stick-Breaking Representation for Homogeneous NRMIs. Bayesian Analysis. 11(3). 12 indexed citations

14.

Favaro, Stefano, et al.. (2014). Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James. Statistical Methods & Applications. 23(3). 365–369. 1 indexed citations

15.

Favaro, Stefano, Antonio Lijoi, & Igor Prünster. (2013). Conditional formulae for Gibbs-type exchangeable random partitions. The Annals of Applied Probability. 23(5). 28 indexed citations

16.

Favaro, Stefano, Alessandra Guglielmi, & Stephen G. Walker. (2012). A class of measure-valued Markov chains and Bayesian nonparametrics. Bernoulli. 18(3). 2 indexed citations

17.

Favaro, Stefano, Antonio Lijoi, & Igor Prünster. (2012). A New Estimator of the Discovery Probability. Biometrics. 68(4). 1188–1196. 24 indexed citations

18.

Favaro, Stefano, et al.. (2011). On a class of distributions on the simplex. Journal of Statistical Planning and Inference. 141(9). 2987–3004. 17 indexed citations

19.

Favaro, Stefano, Igor Prünster, & Stephen G. Walker. (2010). On a Generalized Chu–Vandermonde Identity. Methodology And Computing In Applied Probability. 14(2). 253–262. 3 indexed citations

20.

Favaro, Stefano, Igor Prünster, & Stephen G. Walker. (2010). On a Class of Random Probability Measures with General Predictive Structure. Scandinavian Journal of Statistics. 38(2). 359–376. 9 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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