Luca Bagnato

583 total citations
38 papers, 394 citations indexed

About

Luca Bagnato is a scholar working on Artificial Intelligence, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Luca Bagnato has authored 38 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Economics and Econometrics and 16 papers in Statistics and Probability. Recurrent topics in Luca Bagnato's work include Bayesian Methods and Mixture Models (15 papers), Financial Risk and Volatility Modeling (14 papers) and Complex Systems and Time Series Analysis (13 papers). Luca Bagnato is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Financial Risk and Volatility Modeling (14 papers) and Complex Systems and Time Series Analysis (13 papers). Luca Bagnato collaborates with scholars based in Italy, Canada and United States. Luca Bagnato's co-authors include Antonio Punzo, Antonello Maruotti, Salvatore D. Tomarchio, Valerio Potì, Orietta Nicolis, Eleonora Bartoloni, Maurizio Forte, Francesca Greselin, S. Risica and Angelo Mazza and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Statistical Software and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Luca Bagnato

36 papers receiving 378 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 Bagnato Italy 12 205 165 125 105 66 38 394
Anastasios Panagiotelis Australia 13 122 0.6× 108 0.7× 96 0.8× 185 1.8× 224 3.4× 25 602
Jakob Stöber Germany 7 111 0.5× 52 0.3× 155 1.2× 106 1.0× 31 0.5× 11 301
Jan-Frederik Mai Germany 12 190 0.9× 73 0.4× 364 2.9× 93 0.9× 142 2.2× 48 517
R. Keith Freeland Canada 7 251 1.2× 80 0.5× 252 2.0× 70 0.7× 99 1.5× 8 398
Paramsothy Silvapulle Australia 9 198 1.0× 63 0.4× 210 1.7× 135 1.3× 56 0.8× 19 457
David P. M. Scollnik Canada 10 268 1.3× 105 0.6× 78 0.6× 77 0.7× 166 2.5× 24 398
Mansour Aghababaei Jazi Iran 6 281 1.4× 79 0.5× 84 0.7× 27 0.3× 58 0.9× 7 342
René Ferland Canada 6 221 1.1× 67 0.4× 278 2.2× 95 0.9× 50 0.8× 19 427
Anne‐Laure Fougères France 11 141 0.7× 43 0.3× 222 1.8× 54 0.5× 80 1.2× 20 326
José Juan Quesada-Molina Spain 15 252 1.2× 70 0.4× 360 2.9× 45 0.4× 215 3.3× 33 592

Countries citing papers authored by Luca Bagnato

Since Specialization
Citations

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

Fields of papers citing papers by Luca Bagnato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Bagnato

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Bagnato. A scholar is included among the top collaborators of Luca Bagnato 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 Bagnato. Luca Bagnato 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.
Punzo, Antonio & Luca Bagnato. (2024). Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns. Advances in Data Analysis and Classification. 19(2). 275–322.
2.
Bagnato, Luca, Alessio Farcomeni, & Antonio Punzo. (2023). The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO. Statistical Analysis and Data Mining The ASA Data Science Journal. 17(1). 2 indexed citations
3.
Tomarchio, Salvatore D., Luca Bagnato, & Antonio Punzo. (2023). Model-based clustering using a new multivariate skew distribution. Advances in Data Analysis and Classification. 18(1). 61–83. 2 indexed citations
4.
Browne, Ryan P., Luca Bagnato, & Antonio Punzo. (2023). Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions. Advances in Data Analysis and Classification. 18(3). 597–625. 1 indexed citations
5.
Punzo, Antonio & Luca Bagnato. (2021). Multiple scaled symmetric distributions in allometric studies. The International Journal of Biostatistics. 18(1). 219–242. 5 indexed citations
6.
Bagnato, Luca, et al.. (2020). Leptokurtic moment-parameterized elliptically contoured distributions with application to financial stock returns. Communication in Statistics- Theory and Methods. 51(2). 486–500. 1 indexed citations
7.
Punzo, Antonio & Luca Bagnato. (2020). Modeling the cryptocurrency return distribution via Laplace scale mixtures. Physica A Statistical Mechanics and its Applications. 563. 125354–125354. 17 indexed citations
8.
Bartoloni, Eleonora, et al.. (2020). Waiting for Godot? Success or failure of firms’ growth in a panel of Italian manufacturing firms. Structural Change and Economic Dynamics. 55. 259–275. 12 indexed citations
9.
Tomarchio, Salvatore D., Antonio Punzo, & Luca Bagnato. (2020). Two new matrix-variate distributions with application in model-based clustering. Computational Statistics & Data Analysis. 152. 107050–107050. 23 indexed citations
10.
Barbieri, Laura, et al.. (2019). An insight into the Italian economy from an analysis based on the industrial production index in both frequency and time domains. Metroeconomica. 70(4). 688–710. 1 indexed citations
11.
Bagnato, Luca, et al.. (2018). Waiting for Godot: The Failure of SMEs in the Italian Manufacturing Industry to Grow. SSRN Electronic Journal.
12.
Punzo, Antonio, Luca Bagnato, & Antonello Maruotti. (2017). Compound unimodal distributions for insurance losses. Insurance Mathematics and Economics. 81. 95–107. 60 indexed citations
13.
Bagnato, Luca, et al.. (2016). The Role of Orthogonal Polynomials in Tailoring Spherical Distributions to Kurtosis Requirements. Symmetry. 8(8). 77–77. 1 indexed citations
14.
Bagnato, Luca, et al.. (2016). A diagram to detect serial dependencies: an application to transport time series. Quality & Quantity. 51(2). 581–594. 6 indexed citations
15.
Bagnato, Luca, et al.. (2014). The role of orthogonal polynomials in adjusting hyperpolic secant and logistic distributions to analyse financial asset returns. Statistical Papers. 56(4). 1205–1234. 17 indexed citations
16.
Bagnato, Luca, et al.. (2013). Detecting serial dependencies with the reproducibility probability autodependogram. AStA Advances in Statistical Analysis. 98(1). 35–61. 8 indexed citations
17.
Bagnato, Luca & Antonio Punzo. (2010). On the use of chi-square test to check serial independence. The Journal of Experimental Medicine. 142(1). 57–74. 6 indexed citations
18.
Forte, Maurizio, et al.. (2010). Radium isotopes in Estonian groundwater: measurements, analytical correlations, population dose and a proposal for a monitoring strategy. Journal of Radiological Protection. 30(4). 761–780. 19 indexed citations
19.
Bagnato, Luca & Antonio Punzo. (2010). On the use of χ2-test to check serial independence. 8(1). 57–74. 5 indexed citations
20.

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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2026