Alessandro Barbiero
- Statistics and Probability top 2%
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Global and Planetary Change
- Co-authors
- Pier Alda FerrariGiancarlo ManziPaola Annoni
- Topics
- Statistical Distribution Estimation and Applications (24 papers)Probabilistic and Robust Engineering Design (13 papers)Statistical Methods and Bayesian Inference (11 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaPsychometrikaAnnals of Operations Research
- Partner nations
- Italy
In The Last Decade
Alessandro Barbiero
39 papers receiving 261 citations
Peers
Comparison fields: 5 of 91
- Statistics and Probability 183
- Statistics, Probability and Uncertainty 72
- Artificial Intelligence 63
- Management Science and Operations Research 42
- Global and Planetary Change 23
Countries citing papers authored by Alessandro Barbiero
This map shows the geographic impact of Alessandro Barbiero'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 Alessandro Barbiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Barbiero more than expected).
Fields of papers citing papers by Alessandro Barbiero
This network shows the impact of papers produced by Alessandro Barbiero. 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 Alessandro Barbiero. The network helps show where Alessandro Barbiero may publish in the future.
Co-authorship network of co-authors of Alessandro Barbiero
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Barbiero. A scholar is included among the top collaborators of Alessandro Barbiero 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 Alessandro Barbiero. Alessandro Barbiero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | Properties and inferential issues of a bivariate version of the geometric distribution | 1 |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | GenOrd: Simulation of ordinal and discrete variables with given correlation matrix and marginal distributions (v. 1.4.0) | 4 |
| 12 | GenForImp: The Forward Imputation: A Sequential Distance-Based Approach for Imputing Missing Data. R package version 1.0. | 3 |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 17 | |
| 16 | 42 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | 1 | |
| 20 | 2 |
About Alessandro Barbiero
Alessandro Barbiero is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 46 papers that have together received 267 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (24 papers), Probabilistic and Robust Engineering Design (13 papers) and Statistical Methods and Bayesian Inference (11 papers). The work is most often cited by research in Statistics and Probability (183 citations), Statistics, Probability and Uncertainty (72 citations) and Management Science and Operations Research (42 citations). Alessandro Barbiero has collaborated with scholars based in Italy. Frequent co-authors include Pier Alda Ferrari, Giancarlo Manzi and Paola Annoni. Their work appears in journals such as SHILAP Revista de lepidopterología, Psychometrika and Annals of Operations Research.
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.