Antonella Capitanio
- Statistics and Probability top 0.2%
- Statistics, Probability and Uncertainty top 0.5%
- Artificial Intelligence top 5%
- Finance top 5%
- Management Science and Operations Research top 2%
- Co-authors
- Adelchi AzzaliniElena StanghelliniN. BalakrishnanBruno ScarpaLuca TommasiGiuliana LucciEstela Bee Dagum
- Topics
- Statistical Distribution Estimation and Applications (5 papers)Probabilistic and Robust Engineering Design (2 papers)Advanced Statistical Methods and Models (2 papers)
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology)Journal of Multivariate AnalysisScandinavian Journal of Statistics
- Partner nations
- ItalyCanadaSaudi Arabia
In The Last Decade
Antonella Capitanio
7 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Statistics and Probability 1.0k
- Statistics, Probability and Uncertainty 360
- Artificial Intelligence 335
- Finance 247
- Management Science and Operations Research 221
Countries citing papers authored by Antonella Capitanio
This map shows the geographic impact of Antonella Capitanio'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 Antonella Capitanio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonella Capitanio more than expected).
Fields of papers citing papers by Antonella Capitanio
This network shows the impact of papers produced by Antonella Capitanio. 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 Antonella Capitanio. The network helps show where Antonella Capitanio may publish in the future.
Co-authorship network of co-authors of Antonella Capitanio
This figure shows the co-authorship network connecting the top 25 collaborators of Antonella Capitanio. A scholar is included among the top collaborators of Antonella Capitanio 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 Antonella Capitanio. Antonella Capitanio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | The Skew-Normal and Related Familiesbreakdown → | 466 |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 62 | |
| 8 | Statistical Applications of the Multivariate Skew Normal Distributionbreakdown → | 870 |
About Antonella Capitanio
Antonella Capitanio is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (5 papers), Probabilistic and Robust Engineering Design (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Statistics, Probability and Uncertainty (360 citations) and Finance (247 citations). Antonella Capitanio has collaborated with scholars based in Italy, Canada and Saudi Arabia. Frequent co-authors include Adelchi Azzalini, Elena Stanghellini, N. Balakrishnan, Bruno Scarpa, Luca Tommasi, Giuliana Lucci and Estela Bee Dagum. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of Multivariate Analysis and Scandinavian Journal of Statistics.
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.