Ruggero Bellio

718 total citations
45 papers, 409 citations indexed

About

Ruggero Bellio is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Ruggero Bellio has authored 45 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 9 papers in Management Science and Operations Research and 8 papers in Economics and Econometrics. Recurrent topics in Ruggero Bellio's work include Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Methods and Models (11 papers). Ruggero Bellio is often cited by papers focused on Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (15 papers) and Advanced Statistical Methods and Models (11 papers). Ruggero Bellio collaborates with scholars based in Italy, United States and United Kingdom. Ruggero Bellio's co-authors include Luca Di Gaspero, Cristiano Varin, Andrea Schaerf, Nicola Sartori, Michela Battauz, Torben Larsen, Giovanni Parmigiani, Roberta De Vito, Lorenzo Trippa and Maria Pia Francescato and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Agricultural and Food Chemistry and Biometrics.

In The Last Decade

Ruggero Bellio

41 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruggero Bellio Italy 13 149 75 55 52 35 45 409
F. Javier López Spain 10 69 0.5× 68 0.9× 34 0.6× 35 0.7× 13 0.4× 49 439
Gonzalo García‐Donato Spain 12 263 1.8× 76 1.0× 123 2.2× 96 1.8× 7 0.2× 25 604
Jacqueline M. Hughes‐Oliver United States 13 146 1.0× 43 0.6× 49 0.9× 35 0.7× 10 0.3× 38 451
Chris Adcock United Kingdom 14 332 2.2× 201 2.7× 58 1.1× 164 3.2× 8 0.2× 32 682
Rehan Ahmad Khan Sherwani Pakistan 10 128 0.9× 61 0.8× 27 0.5× 17 0.3× 14 0.4× 45 349
Ana M. Bianco Argentina 10 211 1.4× 26 0.3× 77 1.4× 23 0.4× 4 0.1× 32 440
D. A. Evans United Kingdom 6 382 2.6× 69 0.9× 38 0.7× 11 0.2× 29 0.8× 10 842
Jim Q. Smith United Kingdom 11 55 0.4× 64 0.9× 122 2.2× 25 0.5× 3 0.1× 36 263
Javier Murillo Colombia 11 32 0.2× 103 1.4× 46 0.8× 8 0.2× 10 0.3× 38 292
Muhammad Daniyal Pakistan 11 18 0.1× 48 0.6× 48 0.9× 24 0.5× 4 0.1× 45 333

Countries citing papers authored by Ruggero Bellio

Since Specialization
Citations

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

Fields of papers citing papers by Ruggero Bellio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruggero Bellio

This figure shows the co-authorship network connecting the top 25 collaborators of Ruggero Bellio. A scholar is included among the top collaborators of Ruggero Bellio 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 Ruggero Bellio. Ruggero Bellio 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.
Bellio, Ruggero, et al.. (2024). When Composite Likelihood meets Stochastic Approximation. Journal of the American Statistical Association. 120(551). 1906–1918. 1 indexed citations
2.
Bellio, Ruggero & Luca Grassetti. (2024). Efficient estimation of true fixed-effects stochastic frontier models. Journal of Productivity Analysis. 62(1). 111–118. 1 indexed citations
3.
Bellio, Ruggero, et al.. (2023). Improved inference for a boundary parameter. Canadian Journal of Statistics. 51(3). 780–799. 1 indexed citations
4.
Bellio, Ruggero, et al.. (2022). Separable spatio‐temporal kriging for fast virtual sensing. Applied Stochastic Models in Business and Industry. 38(5). 806–829. 3 indexed citations
5.
Battauz, Michela & Ruggero Bellio. (2021). Shrinkage estimation of the three‐parameter logistic model. British Journal of Mathematical and Statistical Psychology. 74(3). 591–609. 5 indexed citations
6.
Bellio, Ruggero & Nicola Soriani. (2020). Maximum likelihood estimation based on the Laplace approximation forp2network regression models. Statistica Neerlandica. 75(1). 24–41. 1 indexed citations
7.
Battauz, Michela & Ruggero Bellio. (2018). A regularized estimation approach for the three-parameter logistic model. Institutional Research Information System (University of Udine). 1 indexed citations
8.
Pierce, Donald A. & Ruggero Bellio. (2017). Modern Likelihood‐Frequentist Inference. International Statistical Review. 85(3). 519–541. 7 indexed citations
9.
Bellio, Ruggero & Annamaria Guolo. (2015). Integrated Likelihood Inference in Small Sample Meta‐analysis for Continuous Outcomes. Scandinavian Journal of Statistics. 43(1). 191–201. 6 indexed citations
10.
Francescato, Maria Pia, Valentina Cettolo, & Ruggero Bellio. (2014). Assembling more O2 uptake responses: Is it possible to merely stack the repeated transitions?. Respiratory Physiology & Neurobiology. 200. 46–49. 10 indexed citations
11.
Francescato, Maria Pia, Valentina Cettolo, & Ruggero Bellio. (2013). Confidence intervals for the parameters estimated from simulated O2uptake kinetics: effects of different data treatments. Experimental Physiology. 99(1). 187–195. 18 indexed citations
12.
Battauz, Michela, et al.. (2011). Covariate Measurement Error Adjustment for Multilevel Models With Application to Educational Data. Journal of Educational and Behavioral Statistics. 36(3). 283–306. 16 indexed citations
13.
Bellio, Ruggero & Luca Grassetti. (2010). Semiparametric stochastic frontier models for clustered data. Computational Statistics & Data Analysis. 55(1). 71–83. 2 indexed citations
14.
Papayannis, Alessandro, et al.. (2009). Intravitreal Ranibizumab for Myopic Choroidal Neovascularization. Investigative Ophthalmology & Visual Science. 50(13). 2276–2276. 2 indexed citations
15.
Bellio, Ruggero, et al.. (2009). Restricted likelihood inference for generalized linear mixed models. Statistics and Computing. 21(2). 173–183. 6 indexed citations
16.
Bellio, Ruggero, et al.. (2006). Stime del bisogno e dei costi asistenziali a fini allocativi: l’esperienza della regione Friuli-Venezia Giulia. 7(3). 1 indexed citations
17.
Bellio, Ruggero. (2006). Algorithms for bounded-influence estimation. Computational Statistics & Data Analysis. 51(5). 2531–2541. 6 indexed citations
18.
Bellio, Ruggero & Nicola Sartori. (2006). Practical Use of Modified Maximum Likelihoods for Stratified Data. Biometrical Journal. 48(5). 876–886. 12 indexed citations
19.
Bellio, Ruggero, et al.. (2003). Impact evaluation of job training programmes: Selection bias in multilevel models. Journal of Applied Statistics. 30(8). 893–907. 13 indexed citations
20.
Bellio, Ruggero & Alessandra Rosalba Brazzale. (2001). A computer algebra package for approximate conditional inference. Statistics and Computing. 11(1). 17–24. 4 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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