Pietro Muliere

1.1k total citations
55 papers, 635 citations indexed

About

Pietro Muliere is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Pietro Muliere has authored 55 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 13 papers in Finance. Recurrent topics in Pietro Muliere's work include Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Inference (19 papers) and Stochastic processes and financial applications (8 papers). Pietro Muliere is often cited by papers focused on Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Inference (19 papers) and Stochastic processes and financial applications (8 papers). Pietro Muliere collaborates with scholars based in Italy, United States and United Kingdom. Pietro Muliere's co-authors include Marco Scarsini, Luca Tardella, Stephen G. Walker, Chiara Gigliarano, Giovanni Parmigiani, Piercesare Secchi, M Mezzetti, Satya R. Chakravarty, Paolo Giudici and Sonia Petrone and has published in prestigious journals such as The Annals of Statistics, Journal of Economic Theory and Economics Letters.

In The Last Decade

Pietro Muliere

53 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pietro Muliere Italy 15 316 274 126 116 102 55 635
Alfred Galichon United States 13 247 0.8× 73 0.3× 258 2.0× 95 0.8× 155 1.5× 66 782
Ivan Jeliazkov United States 8 355 1.1× 252 0.9× 395 3.1× 235 2.0× 88 0.9× 17 1.1k
Yuichi Kitamura United States 19 698 2.2× 107 0.4× 521 4.1× 393 3.4× 135 1.3× 55 1.6k
Oliver B. Linton United Kingdom 15 504 1.6× 137 0.5× 450 3.6× 330 2.8× 132 1.3× 93 1.1k
Benedikt M. Pötscher Austria 20 951 3.0× 229 0.8× 631 5.0× 467 4.0× 270 2.6× 53 1.9k
Halina Frydman United States 17 297 0.9× 202 0.7× 183 1.5× 359 3.1× 83 0.8× 44 1.1k
Michel Denuit Belgium 11 210 0.7× 80 0.3× 186 1.5× 137 1.2× 278 2.7× 28 520
Mark Yuying An United States 11 101 0.3× 48 0.2× 271 2.2× 37 0.3× 120 1.2× 26 576
Takamitsu Sawa Japan 15 484 1.5× 83 0.3× 274 2.2× 158 1.4× 143 1.4× 25 997
Demián Pouzo United States 10 228 0.7× 38 0.1× 203 1.6× 129 1.1× 48 0.5× 27 487

Countries citing papers authored by Pietro Muliere

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Muliere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Muliere

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Muliere. A scholar is included among the top collaborators of Pietro Muliere 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 Pietro Muliere. Pietro Muliere 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.
Arfè, Andrea, Stefano Peluso, & Pietro Muliere. (2021). The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes. BOA (University of Milano-Bicocca). 2 indexed citations
2.
Arfè, Andrea, Stefano Peluso, & Pietro Muliere. (2019). Reinforced urns and the subdistribution beta-Stacy process prior for competing risks analysis. BOA (University of Milano-Bicocca). 3 indexed citations
3.
Peluso, Stefano, Antonietta Mira, & Pietro Muliere. (2017). Robust identification of highly persistent interest rate regimes. International Journal of Approximate Reasoning. 83. 102–117. 2 indexed citations
4.
Marcon, G, Simone A. Padoan, Philippe Naveau, Pietro Muliere, & Johan Segers. (2016). Multivariate nonparametric estimation of the Pickands dependence function using Bernstein polynomials. Journal of Statistical Planning and Inference. 183. 1–17. 25 indexed citations
5.
Muliere, Pietro, et al.. (2013). On the Wald's Sequential Probability Ratio Test for Lévy Processes. Sequential Analysis. 32(3). 267–287. 4 indexed citations
6.
Muliere, Pietro, et al.. (2013). Sequential Testing Problems for Lévy Processes. Sequential Analysis. 32(1). 47–70. 10 indexed citations
7.
Muliere, Pietro & Marco Scarsini. (2012). A Note on Stochastic Dominance and Inequality Measures. SSRN Electronic Journal. 1 indexed citations
8.
Bonetti, Marco, Chiara Gigliarano, & Pietro Muliere. (2009). The Gini concentration test for survival data. Lifetime Data Analysis. 15(4). 493–518. 18 indexed citations
9.
Mezzetti, M, et al.. (2007). An application of reinforced urn processes to determining maximum tolerated dose. Statistics & Probability Letters. 77(7). 740–747. 7 indexed citations
10.
Muliere, Pietro, et al.. (2006). Bayesian Nonparametric Estimation for Reinforced Markov Renewal Processes. Statistical Inference for Stochastic Processes. 10(3). 283–303. 5 indexed citations
11.
Maccheroni, Fabio, et al.. (2005). Inverse stochastic orders and generalized Gini functionals. METRON. 63(3). 529–559. 3 indexed citations
12.
Muliere, Pietro & Satya R. Chakravarty. (2004). Welfare indicators: a review and new perspectives. 2. Measurement of poverty. METRON. 247–281. 17 indexed citations
13.
Muliere, Pietro, Piercesare Secchi, & Stephen G. Walker. (2004). Partially exchangeable processes indexed by the vertices of a k-tree constructed via reinforcement. Stochastic Processes and their Applications. 115(4). 661–677. 6 indexed citations
14.
Muliere, Pietro & Б. Л. С. Пракаса Рао. (2003). Characterization of Probability Distributions via Binary Associative Operation. 65(4). 793–798. 6 indexed citations
15.
Chakravarty, Satya R. & Pietro Muliere. (2003). Welfare indicators: A review and new perspectives. 1. Measurement of inequality. METRON. 457–497. 14 indexed citations
16.
Muliere, Pietro, Piercesare Secchi, & Stephen G. Walker. (2003). Reinforced random processes in continuous time. Stochastic Processes and their Applications. 104(1). 117–130. 16 indexed citations
17.
Giudici, Paolo, M Mezzetti, & Pietro Muliere. (2002). Mixtures of products of Dirichlet processes for variable selection in survival analysis. Journal of Statistical Planning and Inference. 111(1-2). 101–115. 43 indexed citations
18.
Muliere, Pietro, Giovanni Parmigiani, & Nicholas G. Polson. (1993). A Note on the Residual Entropy Function. Probability in the Engineering and Informational Sciences. 7(3). 413–420. 19 indexed citations
19.
Muliere, Pietro & Marco Scarsini. (1985). Change-point problems: A Bayesian nonparametric approach. Applications of Mathematics. 30(6). 397–402. 7 indexed citations
20.
Muliere, Pietro & Marco Scarsini. (1984). Bayesian inference for change--point problems. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 17. 93–106. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026