Simone Scotti
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Credit Risk and Financial Regulations
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
- Finance 23
- Stochastic processes and financial applications 22
- Financial Risk and Volatility Modeling 14
- Financial Markets and Investment Strategies 5
- Credit Risk and Financial Regulations 4
- Capital Investment and Risk Analysis 3
- Co-authors
- Ying Jiao (4 shared papers)Chunhua Ma (4 shared papers)Carlo Sgarra (6 shared papers)Vathana Ly Vath (6 shared papers)Andrea Vindigni (1 shared paper)Chao Zhou (1 shared paper)Maria Elvira Mancino (1 shared paper)Nicolas Brunel (1 shared paper)
In The Last Decade
Simone Scotti
28 papers receiving 228 citations
Peers
Comparison fields: 5 of 41
- Finance 167
- Mathematical Physics 47
- Applied Mathematics 42
- Demography 35
- Management Science and Operations Research 31
Countries citing papers authored by Simone Scotti
This map shows the geographic impact of Simone Scotti'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 Simone Scotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Scotti more than expected).
Fields of papers citing papers by Simone Scotti
This network shows the impact of papers produced by Simone Scotti. 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 Simone Scotti. The network helps show where Simone Scotti may publish in the future.
Co-authors
The 17 scholars most cited alongside Simone Scotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 38 | |
| 2 | 2018 | 28 | |
| 3 | 2016 | 22 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2016 | 14 | |
| 7 | 2013 | 14 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 11 | |
| 10 | 2018 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2015 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2016 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2022 | 2 |
About Simone Scotti
Simone Scotti is a scholar working on Finance, Economics and Econometrics, Applied Mathematics, Mathematical Physics and Demography, having authored 30 papers that have together received 234 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (22 papers), Financial Risk and Volatility Modeling (14 papers), Point processes and geometric inequalities (5 papers), Financial Markets and Investment Strategies (5 papers), Insurance, Mortality, Demography, Risk Management (4 papers), Credit Risk and Financial Regulations (4 papers), Stochastic processes and statistical mechanics (4 papers) and Capital Investment and Risk Analysis (3 papers). The work is most often cited by research in Finance (167 citations), Mathematical Physics (47 citations), Applied Mathematics (42 citations), Demography (35 citations) and Management Science and Operations Research (31 citations). Simone Scotti has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include Ying Jiao, Chunhua Ma, Carlo Sgarra, Vathana Ly Vath, Andrea Vindigni, Chao Zhou, Maria Elvira Mancino, Nicolas Brunel, Kenneth Murphy and Yongqiang Cheng. Their work appears in journals such as Mathematics and Financial Economics, SIAM Journal on Financial Mathematics, International Journal of Theoretical and Applied Finance, Applied Stochastic Models in Business and Industry and Quantitative 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.