Igor Prünster

2.4k total citations
61 papers, 1.3k citations indexed

About

Igor Prünster is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Igor Prünster has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 40 papers in Statistics and Probability and 12 papers in Mathematical Physics. Recurrent topics in Igor Prünster's work include Bayesian Methods and Mixture Models (56 papers), Statistical Methods and Inference (31 papers) and Statistical Methods and Bayesian Inference (25 papers). Igor Prünster is often cited by papers focused on Bayesian Methods and Mixture Models (56 papers), Statistical Methods and Inference (31 papers) and Statistical Methods and Bayesian Inference (25 papers). Igor Prünster collaborates with scholars based in Italy, United Kingdom and Mexico. Igor Prünster's co-authors include Antonio Lijoi, Ramsés H. Mena, Lancelot F. James, Stefano Favaro, Eugenio Regazzini, Stephen G. Walker, Pierpaolo De Blasi, Antonio Canale, Luis E. Nieto‐Barajas and Giovanni Peccati 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

Igor Prünster

59 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Prünster Italy	19	1.1k	853	188	137	115	61	1.3k
Antonio Lijoi Italy	20	1.2k 1.1×	914 1.1×	220 1.2×	173 1.3×	126 1.1×	73	1.4k
Ramsés H. Mena Mexico	14	592 0.5×	429 0.5×	70 0.4×	85 0.6×	72 0.6×	46	723
Albert Y. Lo United States	13	770 0.7×	738 0.9×	67 0.4×	90 0.7×	47 0.4×	24	973
Alexander Gnedin Netherlands	18	580 0.5×	404 0.5×	570 3.0×	134 1.0×	59 0.5×	85	1.0k
Shurong Zheng China	14	202 0.2×	471 0.6×	109 0.6×	63 0.5×	25 0.2×	57	657
Stefano Favaro Italy	11	368 0.3×	256 0.3×	77 0.4×	37 0.3×	51 0.4×	60	452
M. Pourahmadi United States	13	240 0.2×	592 0.7×	33 0.2×	119 0.9×	27 0.2×	23	944
Uwe Rösler Germany	13	227 0.2×	184 0.2×	402 2.1×	149 1.1×	43 0.4×	39	656
Salvatore Ingrassia Italy	16	538 0.5×	406 0.5×	19 0.1×	26 0.2×	27 0.2×	47	692
Hajo Holzmann Germany	13	207 0.2×	262 0.3×	49 0.3×	91 0.7×	25 0.2×	58	583

Countries citing papers authored by Igor Prünster

Since Specialization

Citations

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

Fields of papers citing papers by Igor Prünster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Prünster

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

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

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

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

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

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

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

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

Peccati, Giovanni, et al.. (2014). Exchangeable Hoeffding decompositions over finite sets: A combinatorial characterization and counterexamples. Journal of Multivariate Analysis. 131. 51–64. 1 indexed citations

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

10.

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

11.

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

12.

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

13.

Nieto‐Barajas, Luis E. & Igor Prünster. (2009). A sensitivity analysis for Bayesian nonparametric density estimators. Statistica Sinica. 19. 685–705. 13 indexed citations

14.

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

15.

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

16.

James, Lancelot F., Antonio Lijoi, & Igor Prünster. (2008). Distributions of linear functionals of two parameter Poisson–Dirichlet random measures. The Annals of Applied Probability. 18(2). 18 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.

Walker, Stephen G., Antonio Lijoi, & Igor Prünster. (2005). Data tracking and the understanding of Bayesian consistency. Biometrika. 92(4). 765–778. 17 indexed citations

20.

Lijoi, Antonio, Ramsés H. Mena, & Igor Prünster. (2005). Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors. Journal of the American Statistical Association. 100(472). 1278–1291. 114 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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