Giampiero Marra
- Endocrinology, Diabetes and Metabolism top 2%
- Economics and Econometrics top 2%
- Statistics and Probability top 1%
- Ecology top 5%
- Global and Planetary Change top 10%
- Co-authors
- Simon N. WoodRosalba RadiceGiovanni GhirlandaLuca ZaninPatrizia CotroneoAndrea MantoBruno GiardinaStefano Angelo Santini
- Topics
- Statistical Methods and Inference (34 papers)Statistical Methods and Bayesian Inference (29 papers)Advanced Causal Inference Techniques (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationJournal of the American College of Cardiology
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Giampiero Marra
80 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Endocrinology, Diabetes and Metabolism 558
- Economics and Econometrics 395
- Statistics and Probability 363
- Ecology 304
- Global and Planetary Change 236
Countries citing papers authored by Giampiero Marra
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 54 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 19 | |
| 12 | 23 | |
| 13 | Modelling the Spatiotemporal Distribution of the Incidence of Resident Foreign Population | 1 |
| 14 | 63 | |
| 15 | 43 | |
| 16 | The DIAB.&TE.S Project: how patients perceive diabetes and diabetes therapy. | 17 |
| 17 | 76 | |
| 18 | 25 | |
| 19 | 33 | |
| 20 | 5 |
About Giampiero Marra
Giampiero Marra is a scholar working on Statistics and Probability, Computational Mathematics and Economics and Econometrics, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (34 papers), Statistical Methods and Bayesian Inference (29 papers) and Advanced Causal Inference Techniques (10 papers). The work is most often cited by research in Statistics and Probability (363 citations), Endocrinology, Diabetes and Metabolism (558 citations) and Clinical Biochemistry (207 citations). Giampiero Marra has collaborated with scholars based in United Kingdom, Italy and United States. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of the American College of Cardiology.
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.