Claudio Macci

812 total citations
81 papers, 462 citations indexed

About

Claudio Macci is a scholar working on Finance, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Claudio Macci has authored 81 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Finance, 34 papers in Management Science and Operations Research and 32 papers in Statistics and Probability. Recurrent topics in Claudio Macci's work include Probability and Risk Models (34 papers), Financial Risk and Volatility Modeling (23 papers) and Stochastic processes and financial applications (22 papers). Claudio Macci is often cited by papers focused on Probability and Risk Models (34 papers), Financial Risk and Volatility Modeling (23 papers) and Stochastic processes and financial applications (22 papers). Claudio Macci collaborates with scholars based in Italy, United Kingdom and United States. Claudio Macci's co-authors include Luisa Beghin, Giovanni Luca Torrisi, Andrea Clementi, Francesco Pasquale, Angelo Monti, Riccardo Silvestri, Ayalvadi Ganesh, Lea Petrella, Antonio Di Crescenzo and Alessandro De Gregorio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Statistical Physics.

In The Last Decade

Claudio Macci

71 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Macci Italy 11 189 156 111 86 73 81 462
Łukasz Stettner Poland 14 252 1.3× 107 0.7× 73 0.7× 47 0.5× 30 0.4× 72 487
Uwe Küchler Germany 13 633 3.3× 200 1.3× 230 2.1× 75 0.9× 147 2.0× 44 1.0k
Gopal K. Basak India 11 257 1.4× 48 0.3× 51 0.5× 68 0.8× 58 0.8× 41 510
Fuqing Gao China 11 276 1.5× 121 0.8× 123 1.1× 16 0.2× 135 1.8× 56 464
Richard H. Stockbridge United States 12 225 1.2× 96 0.6× 51 0.5× 32 0.4× 61 0.8× 32 469
Gyula Pap Hungary 13 356 1.9× 80 0.5× 194 1.7× 31 0.4× 233 3.2× 115 680
Alexander Novikov Russia 15 292 1.5× 87 0.6× 100 0.9× 19 0.2× 91 1.2× 65 536
Pierre Patie United States 11 281 1.5× 109 0.7× 68 0.6× 16 0.2× 147 2.0× 33 439
Giulia Di Nunno Norway 11 627 3.3× 169 1.1× 87 0.8× 17 0.2× 136 1.9× 54 783
Yu. M. Kabanov Russia 14 583 3.1× 149 1.0× 58 0.5× 24 0.3× 79 1.1× 28 823

Countries citing papers authored by Claudio Macci

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Macci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Macci

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Macci. A scholar is included among the top collaborators of Claudio Macci 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 Claudio Macci. Claudio Macci 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.
Macci, Claudio, et al.. (2025). Large and moderate deviations for Gaussian neural networks. Journal of Applied Probability. 63(1). 96–115.
2.
Macci, Claudio, et al.. (2024). Asymptotic results for sums and extremes. Journal of Applied Probability. 61(4). 1153–1171. 1 indexed citations
3.
Iuliano, Antonella & Claudio Macci. (2023). Asymptotic results for the absorption time of telegraph processes with a non-standard barrier at the origin. Statistics & Probability Letters. 196. 109800–109800. 1 indexed citations
4.
Macci, Claudio, et al.. (2023). Noncentral moderate deviations for fractional Skellam processes. SHILAP Revista de lepidopterología. 43–61. 1 indexed citations
5.
Macci, Claudio & Jorge Navarro. (2023). Method-of-moments estimators of a scale parameter based on samples from a coherent system. Probability in the Engineering and Informational Sciences. 38(1). 150–167. 3 indexed citations
6.
Macci, Claudio, et al.. (2021). Moderate deviation estimates for nodal lengths of random spherical harmonics. Cineca Institutional Research Information System (Tor Vergata University). 2 indexed citations
7.
Leonenko, Nikolai, et al.. (2021). Large deviations for a class of tempered subordinators and their inverse processes. ORCA Online Research @Cardiff (Cardiff University). 5 indexed citations
8.
Beghin, Luisa, et al.. (2021). Random time-changes and asymptotic results for a class of continuous-time Markov chains on integers with alternating rates. Cineca Institutional Research Information System (Tor Vergata University). 1 indexed citations
9.
Bignozzi, Valeria, Claudio Macci, & Lea Petrella. (2020). Large deviations for method-of-quantiles estimators of one-dimensional parameters. IRIS Research product catalog (Sapienza University of Rome). 1 indexed citations
10.
Beghin, Luisa, et al.. (2020). Random time-change with inverses of multivariate subordinators: Governing equations and fractional dynamics. IRIS Research product catalog (Sapienza University of Rome). 9 indexed citations
11.
Crescenzo, Antonio Di, et al.. (2019). Analysis of random walks on a hexagonal lattice. Cineca Institutional Research Information System (Tor Vergata University). 8 indexed citations
12.
Bignozzi, Valeria, Claudio Macci, & Lea Petrella. (2018). Large deviations for risk measures in finite mixture models. IRIS Research product catalog (Sapienza University of Rome). 1 indexed citations
13.
Beghin, Luisa, Roberto Garra, & Claudio Macci. (2015). Correlated fractional counting processes on a finite-time interval. Journal of Applied Probability. 52(4). 1045–1061. 1 indexed citations
14.
Beghin, Luisa, Roberto Garra, & Claudio Macci. (2015). Correlated fractional counting processes on a finite-time interval. Journal of Applied Probability. 52(4). 1045–1061. 9 indexed citations
15.
Abundo, Mario, et al.. (2012). ASYMPTOTIC RESULTS FOR EXIT PROBABILITIES OF STOCHASTIC PROCESSES GOVERNED BY AN INTEGRAL TYPE RATE FUNCTION. IRIS Research product catalog (Sapienza University of Rome). 32(1). 25–39. 1 indexed citations
16.
Loisel, Stéphane, et al.. (2010). Asymptotic behavior of the finite-time expected time-integrated negative part of some risk processes and optimal reserve allocation. Journal of Mathematical Analysis and Applications. 367(2). 535–549. 7 indexed citations
17.
Macci, Claudio & Lea Petrella. (2009). Censored Exponential Data: Large Deviations for MLEs and Posterior Distributions. Communication in Statistics- Theory and Methods. 38(15). 2435–2452. 5 indexed citations
18.
Macci, Claudio, et al.. (2006). Large deviations for risk processes with reinsurance. Journal of Applied Probability. 43(3). 713–728. 6 indexed citations
19.
Macci, Claudio, et al.. (2006). Large deviations for risk processes with reinsurance. Journal of Applied Probability. 43(3). 713–728. 3 indexed citations
20.
Macci, Claudio & Lea Petrella. (2006). Mixtures of conjugate prior distributions and large deviations for level crossing probabilities. Cineca Institutional Research Information System (Tor Vergata University). 68(1). 61–89. 6 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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2026