Roberta Varriale

406 total citations
16 papers, 286 citations indexed

About

Roberta Varriale is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Roberta Varriale has authored 16 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Roberta Varriale's work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Methods and Models (5 papers). Roberta Varriale is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Methods and Models (5 papers). Roberta Varriale collaborates with scholars based in Italy and Netherlands. Roberta Varriale's co-authors include Jeroen K. Vermunt, Fernando Galassi, Barbara Giambene, Leonardo Grilli, Carla Rampichini, Bruno Bertaccini, Laura Boeschoten, Francesca Bassi, Marco Di Zio and Omar Paccagnella and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Journal of the Royal Statistical Society Series A (Statistics in Society) and Multivariate Behavioral Research.

In The Last Decade

Roberta Varriale

15 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberta Varriale Italy 7 86 80 49 39 31 16 286
Jordan Wagge United States 7 10 0.1× 7 0.1× 54 1.1× 6 0.2× 15 194
Valerie M. Chase Switzerland 4 4 0.0× 49 0.6× 39 1.0× 27 0.9× 5 277
Bernhard Klingenberg United States 11 1 0.0× 86 1.1× 4 0.1× 20 0.5× 33 1.1× 19 296
Francesco Martino Spain 9 43 0.5× 13 0.3× 15 0.4× 4 0.1× 34 294
Raj Singh Canada 11 13 0.2× 10 0.1× 15 0.3× 135 3.5× 4 0.1× 20 510
Manuela Ott Switzerland 6 2 0.0× 91 1.1× 2 0.0× 32 0.8× 19 0.6× 7 231
A. D. Lovie United Kingdom 10 32 0.4× 5 0.1× 38 1.0× 37 1.2× 18 294
Luca Polonio Italy 8 2 0.0× 6 0.1× 22 0.4× 16 0.4× 43 1.4× 15 256

Countries citing papers authored by Roberta Varriale

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Varriale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Varriale

This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Varriale. A scholar is included among the top collaborators of Roberta Varriale 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 Roberta Varriale. Roberta Varriale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Varriale, Roberta, et al.. (2024). Multi-source inference via mixture of hidden Markov models: application to regional labour statistics in Italy. Journal of the Royal Statistical Society Series A (Statistics in Society). 188(1). 98–118.
2.
Varriale, Roberta, et al.. (2023). Multi-source statistics on employment status in Italy, a machine learning approach. METRON. 81(1). 37–63. 1 indexed citations
3.
Varriale, Roberta, et al.. (2023). The Italian quick survey on the effects of the COVID‐19 health emergency on businesses: Sampling strategy and data editing. Applied Stochastic Models in Business and Industry. 40(2). 434–445. 1 indexed citations
4.
Varriale, Roberta, et al.. (2022). Total Process Error: An Approach for Assessing and Monitoring the Quality of Multisource Processes. Journal of Official Statistics. 38(2). 533–556. 4 indexed citations
5.
Boeschoten, Laura, et al.. (2019). Combining Multiple Imputation and Hidden Markov Modeling to Obtain Consistent Estimates of Employment Status. Journal of Survey Statistics and Methodology. 9(3). 549–573. 4 indexed citations
6.
Bassi, Francesca, Leonardo Grilli, Omar Paccagnella, Carla Rampichini, & Roberta Varriale. (2017). Analysis of university teaching quality merging student ratings with professor characteristics and opinions. 1 indexed citations
7.
Zio, Marco Di, et al.. (2016). Estimation of the main variables of the economic account of small and medium enterprises based on administrative sources. RePEc: Research Papers in Economics. 18(1). 71–81. 1 indexed citations
8.
Varriale, Roberta, et al.. (2016). Estimation from contaminated multi-source data based on latent class models. Statistical Journal of the IAOS. 32(4). 537–544. 5 indexed citations
9.
Grilli, Leonardo, Carla Rampichini, & Roberta Varriale. (2015). Binomial Mixture Modeling of University Credits. Communication in Statistics- Theory and Methods. 44(22). 4866–4879. 12 indexed citations
10.
Grilli, Leonardo, Carla Rampichini, & Roberta Varriale. (2015). Statistical modelling of gained university credits to evaluate the role of pre-enrolment assessment tests: An approach based on quantile regression for counts. Statistical Modelling. 16(1). 47–66. 15 indexed citations
11.
Grilli, Leonardo & Roberta Varriale. (2014). Specifying Measurement Error Correlations in Latent Growth Curve Models With Multiple Indicators. Methodology. 10(4). 117–125. 6 indexed citations
12.
Varriale, Roberta & Jeroen K. Vermunt. (2012). Multilevel Mixture Factor Models. Multivariate Behavioral Research. 47(2). 247–275. 21 indexed citations
13.
Galassi, Fernando, Barbara Giambene, & Roberta Varriale. (2011). Systemic Vascular Dysregulation and Retrobulbar Hemodynamics in Normal-Tension Glaucoma. Investigative Ophthalmology & Visual Science. 52(7). 4467–4467. 89 indexed citations
14.
Varriale, Roberta, et al.. (2010). 6. The Simultaneous Decision(s) about the Number of Lower- and Higher-Level Classes in Multilevel Latent Class Analysis. Sociological Methodology. 40(1). 247–283. 118 indexed citations
15.
Varriale, Roberta, et al.. (2008). Un modello multilivello per l’analisi longitudinale della valutazione della didattica. CINECA IRIS Institutial research information system (University of Pisa). 122–129. 1 indexed citations
16.
Bertaccini, Bruno & Roberta Varriale. (2006). Robust ANalysis Of VAriance: An approach based on the Forward Search. Computational Statistics & Data Analysis. 51(10). 5172–5183. 7 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

Breakdown of academic impact, for papers by Jordan Wagge Breakdown of academic impact, for papers by Valerie M. Chase Breakdown of academic impact, for papers by Bernhard Klingenberg Breakdown of academic impact, for papers by Francesco Martino Breakdown of academic impact, for papers by Raj Singh Breakdown of academic impact, for papers by Manuela Ott Breakdown of academic impact, for papers by A. D. Lovie Breakdown of academic impact, for papers by Luca Polonio
Rankless by CCL
2026