Roberta Varriale

406 citations
16 papers · 286 · h-index 7

Impact in

    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Glaucoma and retinal disorders
    • Retinal Diseases and Treatments

Papers in

Roberta Varriale

15 papers receiving 274 citations

Peers

Roberta Varriale
Comparison fields: 5 of 82
  • Statistics and Probability 80
  • Ophthalmology 86
  • Management Science and Operations Research 31
  • Radiology, Nuclear Medicine and Imaging 49
  • Neurology 13
Replace Raj Singh with:
Raj Singh Canada
Shomesh E. Chaudhuri United States
Jordan Wagge United States
A. D. Lovie United Kingdom
Luca Polonio Italy
Valerie M. Chase Switzerland
Manuela Ott Switzerland
Bernhard Klingenberg United States
Mary E. Little United States
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Citations per field
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Citations per year

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-authors

The 10 scholars most cited alongside Roberta Varriale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberta Varriale Line = papers co-authored together Roberta Varriale links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010118
2 201189
3 201221
4 201515
5 201512
6 20067
7 20146
8 20165
9 20194
10 20224
11
Estimation of the main variables of the economic account of small and medium enterprises based on administrative sources
20161
12 20231
13 20231
14
Un modello multilivello per l’analisi longitudinale della valutazione della didattica
20081
15
Analysis of university teaching quality merging student ratings with professor characteristics and opinions
20171
16 20240

About Roberta Varriale

Roberta Varriale is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Epidemiology and Economics and Econometrics, having authored 16 papers that have together received 286 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (4 papers), Advanced Statistical Process Monitoring (2 papers), Data-Driven Disease Surveillance (2 papers), Management, Economics, and Public Policy (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Statistics and Probability (80 citations), Ophthalmology (86 citations), Management Science and Operations Research (31 citations), Radiology, Nuclear Medicine and Imaging (49 citations) and Neurology (13 citations). Roberta Varriale has collaborated with scholars based in Italy and Netherlands. Frequent co-authors include Jeroen K. Vermunt, Fernando Galassi, Barbara Giambene, Leonardo Grilli, Carla Rampichini, Bruno Bertaccini, Laura Boeschoten, Francesca Bassi, Omar Paccagnella and Marco Di Zio. Their work appears in journals such as Sociological Methodology, Computational Statistics & Data Analysis, Multivariate Behavioral Research, Statistical Modelling and Investigative Ophthalmology & Visual Science.

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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