Anna Clara Monti
- Statistics and Probability top 2%
- Finance top 5%
- Economics and Econometrics top 10%
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Co-authors
- Thomas J. DiCiccioElvezio RonchettiMaria IannarioDomenico PiccoloMasanobu TaniguchiValentino ScaleraG. A. YoungDomenico Scalera
- Topics
- Advanced Statistical Methods and Models (16 papers)Statistical Methods and Inference (9 papers)Statistical Distribution Estimation and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBiometrika
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Anna Clara Monti
26 papers receiving 326 citations
Peers
Comparison fields: 5 of 62
- Statistics and Probability 254
- Finance 139
- Economics and Econometrics 86
- Statistics, Probability and Uncertainty 50
- Artificial Intelligence 49
Countries citing papers authored by Anna Clara Monti
This map shows the geographic impact of Anna Clara Monti'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 Anna Clara Monti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Clara Monti more than expected).
Fields of papers citing papers by Anna Clara Monti
This network shows the impact of papers produced by Anna Clara Monti. 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 Anna Clara Monti. The network helps show where Anna Clara Monti may publish in the future.
Co-authorship network of co-authors of Anna Clara Monti
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Clara Monti. A scholar is included among the top collaborators of Anna Clara Monti 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 Anna Clara Monti. Anna Clara Monti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | A note on the estimation of the skew normal and the skew exponential power distributions | 18 |
| 16 | 4 | |
| 17 | 54 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 23 |
About Anna Clara Monti
Anna Clara Monti is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 29 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (16 papers), Statistical Methods and Inference (9 papers) and Statistical Distribution Estimation and Applications (7 papers). The work is most often cited by research in Statistics and Probability (254 citations), Finance (139 citations) and Statistics, Probability and Uncertainty (50 citations). Anna Clara Monti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Thomas J. DiCiccio, Elvezio Ronchetti, Maria Iannario, Domenico Piccolo, Masanobu Taniguchi, Valentino Scalera, G. A. Young, Domenico Scalera and Xiaofei Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrika.
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.