Giampiero Marra

4.0k total citations · 1 hit paper
87 papers, 2.7k citations indexed

About

Giampiero Marra is a scholar working on Statistics and Probability, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Giampiero Marra has authored 87 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 20 papers in Economics and Econometrics and 9 papers in General Health Professions. Recurrent topics in Giampiero Marra's work include Statistical Methods and Inference (34 papers), Statistical Methods and Bayesian Inference (29 papers) and Advanced Causal Inference Techniques (10 papers). Giampiero Marra is often cited by papers focused on Statistical Methods and Inference (34 papers), Statistical Methods and Bayesian Inference (29 papers) and Advanced Causal Inference Techniques (10 papers). Giampiero Marra collaborates with scholars based in United Kingdom, Italy and United States. Giampiero Marra's co-authors include Simon N. Wood, Rosalba Radice, Giovanni Ghirlanda, Luca Zanin, Patrizia Cotroneo, Andrea Manto, Bruno Giardina, Stefano Angelo Santini, Alvaro Mordente and Antonio Ceriello and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of the American College of Cardiology.

In The Last Decade

Giampiero Marra

80 papers receiving 2.6k citations

Hit Papers

Practical variable selection for generalized additive models 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Practical variable selection for generalized additive models
    2011 578 citations Giampiero Marra et al. profile →

Peers

Giampiero Marra
Éric Abadie France
Alicia L. Carriquiry United States
T. Mark Beasley United States
Elizabeth H. Slate United States
Saeid B. Amini United States
Christopher Naugler Canada
Elena Moltchanova New Zealand
J. P. Royston United Kingdom
Richard Newton United Kingdom
Éric Abadie France
Giampiero Marra
Citations per year, relative to Giampiero Marra Giampiero Marra (= 1×) peers Éric Abadie

Countries citing papers authored by Giampiero Marra

Since Specialization
Citations

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

Fields of papers citing papers by Giampiero Marra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giampiero Marra

This figure shows the co-authorship network connecting the top 25 collaborators of Giampiero Marra. A scholar is included among the top collaborators of Giampiero Marra 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 Giampiero Marra. Giampiero Marra 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.
Moustaki, Irini, et al.. (2025). Generalized Latent Variable Models for Location, Scale, and Shape parameters. Psychometrika. 90(3). 932–956. 1 indexed citations
2.
3.
Marra, Giampiero, Rosalba Radice, & David M. Zimmer. (2023). A unifying switching regime regression framework with applications in health economics. Econometric Reviews. 43(1). 52–70. 1 indexed citations
4.
Radice, Rosalba, et al.. (2023). A bivariate relative poverty line for leisure time and income poverty: Detecting intersectional differences using distributional copulas. Review of Income and Wealth. 70(2). 395–419. 3 indexed citations
5.
Marra, Giampiero, Matteo Fasiolo, Rosalba Radice, & Rainer Winkelmann. (2023). A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health. Health Economics. 32(6). 1305–1322. 1 indexed citations
6.
Palma, Anton M., Giampiero Marra, Rachel Bray, et al.. (2022). Correcting for selection bias in HIV prevalence estimates: an application of sample selection models using data from population‐based HIV surveys in seven sub‐Saharan African countries. Journal of the International AIDS Society. 25(8). e25954–e25954. 1 indexed citations
7.
Marra, Giampiero, Rosalba Radice, & David M. Zimmer. (2021). Did the ACA's “guaranteed issue” provision cause adverse selection into nongroup insurance? Analysis using a copula‐based hurdle model. Health Economics. 30(9). 2246–2263. 1 indexed citations
8.
Post, Benjamin, Giampiero Marra, Niall MacCallum, et al.. (2019). The Association between Supraphysiologic Arterial Oxygen Levels and Mortality in Critically Ill Patients: A Multicenter Observational Cohort Study. American Journal of Respiratory and Critical Care Medicine. 200(11). 1373–1380. 54 indexed citations
9.
10.
McGovern, Mark E., Giampiero Marra, Rosalba Radice, et al.. (2015). Adjusting HIV prevalence estimates for non‐participation: an application to demographic surveillance. Journal of the International AIDS Society. 18(1). 19954–19954. 10 indexed citations
11.
McGovern, Mark E., Till Bärnighausen, Giampiero Marra, & Rosalba Radice. (2015). On the Assumption of Bivariate Normality in Selection Models. Epidemiology. 26(2). 229–237. 19 indexed citations
12.
Nicolucci, Antonio, Maria Chiara Rossi, Fabio Pellegrini, et al.. (2014). Benchmarking network for clinical and humanistic outcomes in diabetes (BENCH-D) study: protocol, tools, and population. SpringerPlus. 3(1). 83–83. 23 indexed citations
13.
Marra, Giampiero, David A. Miller, & Luca Zanin. (2012). Modelling the Spatiotemporal Distribution of the Incidence of Resident Foreign Population. SSRN Electronic Journal. 1 indexed citations
14.
Marra, Giampiero & Rosalba Radice. (2011). Estimation of a semiparametric recursive bivariate probit model in the presence of endogeneity. Canadian Journal of Statistics. 39(2). 259–279. 63 indexed citations
15.
Perriello, G., Simone Pampanelli, Francesca Porcellati, et al.. (2005). Insulin aspart improves meal time glycaemic control in patients with Type 2 diabetes: a randomized, stratified, double‐blind and cross‐over trial. Diabetic Medicine. 22(5). 606–611. 43 indexed citations
16.
Marra, Giampiero. (2004). The DIAB.&TE.S Project: how patients perceive diabetes and diabetes therapy.. PubMed. 75(3). 164–70. 17 indexed citations
17.
Conti, Elena, Felicita Andreotti, Alessandro Sciahbasi, et al.. (2001). Markedly reduced insulin-like growth factor-1 in the acute phase of myocardial infarction. Journal of the American College of Cardiology. 38(1). 26–32. 76 indexed citations
18.
Gregorio, Silvana Di, et al.. (2001). Autoantibodies and endothelial dysfunction in well-controlled, uncomplicated insulin-dependent diabetes mellitus patients. Atherosclerosis. 158(1). 241–246. 25 indexed citations
19.
20.
Manto, Andrea, Patrizia Cotroneo, Giovanni D’Errico, et al.. (1993). Urinary kallikrein excretion in Type 1 (insulin-dependent) diabetes mellitus. Diabetologia. 36(5). 423–427. 5 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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