Luca Pratelli

640 total citations
59 papers, 355 citations indexed

About

Luca Pratelli is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Luca Pratelli has authored 59 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 23 papers in Management Science and Operations Research and 20 papers in Artificial Intelligence. Recurrent topics in Luca Pratelli's work include Probability and Risk Models (21 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (14 papers). Luca Pratelli is often cited by papers focused on Probability and Risk Models (21 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (14 papers). Luca Pratelli collaborates with scholars based in Italy, United Kingdom and United States. Luca Pratelli's co-authors include Pietro Rigo, Patrizia Berti, Irene Crimaldi, Lucio Barabesi, Marzia Marcheselli, Lorenzo Fattorini, Caterina Pisani, Emanuela Dreassi, Marcello Basili and Sara Franceschi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Luca Pratelli

49 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Pratelli Italy 12 145 143 82 58 56 59 355
Hajo Holzmann Germany 13 262 1.8× 207 1.4× 49 0.6× 91 1.6× 52 0.9× 58 583
А. В. Иванов Ukraine 12 144 1.0× 59 0.4× 78 1.0× 166 2.9× 48 0.9× 67 545
Wei‐Liem Loh Singapore 12 228 1.6× 115 0.8× 49 0.6× 59 1.0× 73 1.3× 25 487
Riccardo Gatto Switzerland 9 129 0.9× 107 0.7× 39 0.5× 61 1.1× 67 1.2× 45 315
J. H. van Zanten Netherlands 14 382 2.6× 355 2.5× 86 1.0× 61 1.1× 33 0.6× 19 689
Frédéric Lavancier France 9 100 0.7× 56 0.4× 55 0.7× 60 1.0× 18 0.3× 26 276
José R. León Venezuela 13 152 1.0× 82 0.6× 152 1.9× 250 4.3× 48 0.9× 55 554
Raúl Gouet Chile 10 114 0.8× 73 0.5× 128 1.6× 47 0.8× 65 1.2× 32 299
S. Y. Novak United Kingdom 10 100 0.7× 72 0.5× 61 0.7× 116 2.0× 50 0.9× 42 358
Clément Dombry France 12 99 0.7× 44 0.3× 72 0.9× 191 3.3× 56 1.0× 47 419

Countries citing papers authored by Luca Pratelli

Since Specialization
Citations

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

Fields of papers citing papers by Luca Pratelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Pratelli

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Pratelli. A scholar is included among the top collaborators of Luca Pratelli 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 Luca Pratelli. Luca Pratelli 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.
Barabesi, Lucio & Luca Pratelli. (2024). An inequality for the total variation distance between high-dimensional centered Gaussian laws. Statistics & Probability Letters. 211. 110148–110148.
2.
Barabesi, Lucio, et al.. (2024). Estimation and Goodness-of-Fit Testing for Non-Negative Random Variables with Explicit Laplace Transform. Statistica Sinica. 1 indexed citations
3.
Pratelli, Luca & Pietro Rigo. (2024). Some duality results for equivalence couplings and total variation. Electronic Communications in Probability. 29(none).
4.
Fattorini, Lorenzo, Sara Franceschi, Marzia Marcheselli, Caterina Pisani, & Luca Pratelli. (2023). Design-based spatial interpolation with data driven selection of the smoothing parameter. Environmental and Ecological Statistics. 30(1). 103–129. 4 indexed citations
5.
Marcheselli, Marzia, et al.. (2023). A family of consistent normally distributed tests for Poissonity. AStA Advances in Statistical Analysis. 108(1). 209–223.
6.
Pratelli, Luca & Pietro Rigo. (2022). A Strong Version of the Skorohod Representation Theorem. Journal of Theoretical Probability. 36(1). 372–389. 2 indexed citations
7.
Berti, Patrizia, Emanuela Dreassi, Luca Pratelli, & Pietro Rigo. (2020). Asymptotics of certain conditionally identically distributed sequences. Statistics & Probability Letters. 168. 108923–108923. 3 indexed citations
8.
Barabesi, Lucio & Luca Pratelli. (2019). On the properties of a Takács distribution. Statistics & Probability Letters. 148. 66–73. 1 indexed citations
9.
Pratelli, Luca & Pietro Rigo. (2018). Total variation bounds for Gaussian functionals. Stochastic Processes and their Applications. 129(7). 2231–2248.
10.
Berti, Patrizia, Luca Pratelli, & Pietro Rigo. (2017). Rate of convergence of empirical measures for exchangeable sequences. Mathematica Slovaca. 67(6). 1557–1570.
11.
Fattorini, Lorenzo, Marzia Marcheselli, Caterina Pisani, & Luca Pratelli. (2016). Design-based asymptotics for two-phase sampling strategies in environmental surveys. Biometrika. asw062–asw062. 7 indexed citations
12.
Barabesi, Lucio & Luca Pratelli. (2014). Universal methods for generating random variables with a given characteristic function. Journal of Statistical Computation and Simulation. 85(8). 1679–1691. 12 indexed citations
13.
Berti, Patrizia, Luca Pratelli, & Pietro Rigo. (2014). A unifying view on some problems in probability and statistics. Statistical Methods & Applications. 23(4). 483–500. 4 indexed citations
14.
Basili, Marcello & Luca Pratelli. (2014). Aggregation of not independent experts’ opinions under ambiguity. Structural Safety. 52. 144–149. 3 indexed citations
15.
Crimaldi, Irene, et al.. (2013). An Anscombe-Type Theorem. Journal of Mathematical Sciences. 196(1). 15–22.
16.
Berti, Patrizia, Irene Crimaldi, Luca Pratelli, & Pietro Rigo. (2010). Central limit theorems for multicolor urns with dominated colors. Stochastic Processes and their Applications. 120(8). 1473–1491. 11 indexed citations
17.
Berti, Patrizia, Guido Consonni, Luca Pratelli, & Pietro Rigo. (2008). Gibbs Sampling, Exponential Families and Orthogonal Polynomials. Comment.. Statistical Science. 179–182. 1 indexed citations
18.
Crimaldi, Irene, et al.. (2007). Sur l'interversion de l'ordre entre deux opérations sur les tribus. Comptes Rendus Mathématique. 345(6). 341–344. 2 indexed citations
19.
Berti, Patrizia, Luca Pratelli, & Pietro Rigo. (2006). Skorohod representation on a given probability space. Probability Theory and Related Fields. 137(3-4). 277–288. 10 indexed citations
20.
Crimaldi, Irene & Luca Pratelli. (2004). Convergence results for multivariate martingales. Stochastic Processes and their Applications. 115(4). 571–577. 14 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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