Anna Clara Monti
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models 16
- Statistical Methods and Inference 9
- Statistical Distribution Estimation and Applications 7
- Statistical Methods and Bayesian Inference 6
- Finance top 5%
- Financial Risk and Volatility Modeling 6
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- Advanced Statistical Process Monitoring 4
- Probabilistic and Robust Engineering Design 3
- Economics and Econometrics top 10%
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- Sensory Analysis and Statistical Methods 3
- Co-authors
- Thomas J. DiCiccioElvezio RonchettiMaria IannarioDomenico PiccoloMasanobu TaniguchiValentino ScaleraG. A. YoungDomenico Scalera
- Journals
- Biometrika (5 papers)Statistica Sinica (2 papers)The International Journal of Biostatistics (1 paper)
- 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
- Statistics, Probability and Uncertainty 50
- Management Science and Operations Research 42
- Economics and Econometrics 86
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
The 9 scholars most cited alongside Anna Clara Monti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 7 | |
| 8 | 2017 | 2 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 14 | |
| 11 | 2013 | 1 | |
| 12 | 2012 | 2 | |
| 13 | 2012 | 5 | |
| 14 | 2006 | 6 | |
| 15 | A note on the estimation of the skew normal and the skew exponential power distributions | 2003 | 18 |
| 16 | 1994 | 4 | |
| 17 | 1994 | 54 | |
| 18 | 1993 | 2 | |
| 19 | 1993 | 6 | |
| 20 | 1993 | 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), Statistical Distribution Estimation and Applications (7 papers), Statistical Methods and Bayesian Inference (6 papers), Financial Risk and Volatility Modeling (6 papers), Advanced Statistical Process Monitoring (4 papers), Probabilistic and Robust Engineering Design (3 papers) and Sensory Analysis and Statistical Methods (3 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 Biometrika, Statistica Sinica, The International Journal of Biostatistics, Journal of the American Statistical Association and European Journal of Finance.
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.