Antonio Lijoi

2.6k total citations
73 papers, 1.4k citations indexed

About

Antonio Lijoi is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Antonio Lijoi has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 47 papers in Statistics and Probability and 17 papers in Mathematical Physics. Recurrent topics in Antonio Lijoi's work include Bayesian Methods and Mixture Models (67 papers), Statistical Methods and Inference (33 papers) and Statistical Methods and Bayesian Inference (25 papers). Antonio Lijoi is often cited by papers focused on Bayesian Methods and Mixture Models (67 papers), Statistical Methods and Inference (33 papers) and Statistical Methods and Bayesian Inference (25 papers). Antonio Lijoi collaborates with scholars based in Italy, United Kingdom and United States. Antonio Lijoi's co-authors include Igor Prünster, Ramsés H. Mena, Eugenio Regazzini, Lancelot F. James, Stefano Favaro, Stephen G. Walker, Pierpaolo De Blasi, Fabrizio Leisen, Antonio Canale and Leonardo Bottolo and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biometrics.

In The Last Decade

Antonio Lijoi

70 papers receiving 1.3k citations

Peers

Antonio Lijoi

AI

SP

MP

FINAN

MB

Igor Prünster Italy

Ramsés H. Mena Mexico

Albert Y. Lo United States

Alexander Gnedin Netherlands

Uwe Rösler Germany

V. B. Nevzorov Russia

Shurong Zheng China

W. R. van Zwet Netherlands

M. Pourahmadi United States

Stefano Favaro Italy

Igor Prünster Italy

Antonio Lijoi

1.1k ×0.9

AI

853 ×0.9

SP

188 ×0.9

MP

137 ×0.8

FINAN

115 ×0.9

MB

Citations per year, relative to Antonio Lijoi Antonio Lijoi (= 1×) peers Igor Prünster

Countries citing papers authored by Antonio Lijoi

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Lijoi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Lijoi

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Lijoi. A scholar is included among the top collaborators of Antonio Lijoi 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 Antonio Lijoi. Antonio Lijoi 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

1.

Canale, Antonio, et al.. (2023). Inner spike and slab Bayesian nonparametric models. BOA (University of Milano-Bicocca). 1 indexed citations

2.

Lijoi, Antonio, et al.. (2023). Bayesian modeling via discrete nonparametric priors. Japanese Journal of Statistics and Data Science. 6(2). 607–624.

3.

Lijoi, Antonio, et al.. (2022). Finite-dimensional Discrete Random Structures and Bayesian Clustering. Journal of the American Statistical Association. 119(546). 929–941. 7 indexed citations

4.

Lijoi, Antonio, et al.. (2022). Clustering consistency with Dirichlet process mixtures. Biometrika. 110(2). 551–558. 12 indexed citations

5.

Lijoi, Antonio, et al.. (2021). Predictive inference with Fleming–Viot-driven dependent Dirichlet processes. Institutional Research Information System University of Turin (University of Turin). 10 indexed citations

6.

Lijoi, Antonio, et al.. (2020). Sampling hierarchies of discrete random structures. Statistics and Computing. 30(6). 1591–1607. 2 indexed citations

7.

Dunson, David B., et al.. (2019). Latent Nested Nonparametric Priors (with Discussion). Bayesian Analysis. 14(4). 26 indexed citations

8.

Lijoi, Antonio, et al.. (2017). Bayesian prediction with multiple-samples information. Journal of Multivariate Analysis. 156. 18–28. 12 indexed citations

9.

Nieto‐Barajas, Luis E., et al.. (2014). Modeling with normalized random measure mixture models. Quality Engineering. 59(3). 237–240. 4 indexed citations

10.

Arbel, Julyan, et al.. (2014). Full Bayesian inference with hazard mixture models. Computational Statistics & Data Analysis. 93. 359–372. 12 indexed citations

11.

Lijoi, Antonio, et al.. (2013). A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments. Journal of the American Statistical Association. 109(506). 802–814. 19 indexed citations

12.

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

13.

Leisen, Fabrizio & Antonio Lijoi. (2010). Vectors of two-parameter Poisson–Dirichlet processes. Journal of Multivariate Analysis. 102(3). 482–495. 22 indexed citations

14.

Lijoi, Antonio, et al.. (2009). Distributional Properties of Means of Random Probability Measures. SSRN Electronic Journal. 1 indexed citations

15.

Lijoi, Antonio & Igor Prünster. (2009). Models beyond the Dirichlet process. RePEc: Research Papers in Economics. 5 indexed citations

16.

Lijoi, Antonio, Igor Prünster, & Stephen G. Walker. (2008). Investigating nonparametric priors with Gibbs structure. Kent Academic Repository (University of Kent). 23 indexed citations

17.

Lijoi, Antonio, Ramsés H. Mena, & Igor Prünster. (2007). A Bayesian nonparametric method for prediction in EST analysis. BMC Bioinformatics. 8(1). 339–339. 25 indexed citations

18.

James, Lancelot F., Antonio Lijoi, & Igor Prünster. (2005). Baysian inference via classes of normalized random measures. SSRN Electronic Journal. 1 indexed citations

19.

Lijoi, Antonio. (2003). Approximating priors by finite mixtures of conjugate distributions for an exponential family. Journal of Statistical Planning and Inference. 113(2). 419–435. 4 indexed citations

20.

Epifani, Ilenia & Antonio Lijoi. (2000). A Finitely Additive Version of the Law of the Iterated Logarithm. Theory of Probability and Its Applications. 44(4). 633–649. 1 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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