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 22
- Stochastic processes and financial applications 21
- Financial Risk and Volatility Modeling 14
- Financial Markets and Investment Strategies 4
- Credit Risk and Financial Regulations 4
- Capital Investment and Risk Analysis 3
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- Complex Systems and Time Series Analysis 3
- Co-authors
- Chunhua Ma (4 shared papers)Ying Jiao (4 shared papers)Carlo Sgarra (6 shared papers)Vathana Ly Vath (5 shared papers)Andrea Vindigni (1 shared paper)Chao Zhou (1 shared paper)Yongqiang Cheng (1 shared paper)Kenneth Murphy (1 shared paper)
In The Last Decade
Simone Scotti
24 papers receiving 199 citations
Peers
Comparison fields: 5 of 40
- Finance 157
- Mathematical Physics 44
- Demography 33
- Applied Mathematics 28
- Management Science and Operations Research 29
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 15 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 34 | |
| 2 | 2018 | 25 | |
| 3 | 2016 | 19 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 16 | |
| 6 | 2013 | 14 | |
| 7 | 2016 | 11 | |
| 8 | 2014 | 11 | |
| 9 | 2014 | 11 | |
| 10 | 2018 | 9 | |
| 11 | 2015 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2016 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2022 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2023 | 1 |
About Simone Scotti
Simone Scotti is a scholar working on Finance, Economics and Econometrics, Mathematical Physics, Demography and Applied Mathematics, having authored 26 papers that have together received 206 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Financial Risk and Volatility Modeling (14 papers), Stochastic processes and statistical mechanics (4 papers), Financial Markets and Investment Strategies (4 papers), Credit Risk and Financial Regulations (4 papers), Insurance, Mortality, Demography, Risk Management (4 papers), Complex Systems and Time Series Analysis (3 papers) and Capital Investment and Risk Analysis (3 papers). The work is most often cited by research in Finance (157 citations), Mathematical Physics (44 citations), Demography (33 citations), Applied Mathematics (28 citations) and Management Science and Operations Research (29 citations). Simone Scotti has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include Chunhua Ma, Ying Jiao, Carlo Sgarra, Vathana Ly Vath, Andrea Vindigni, Chao Zhou, Yongqiang Cheng, Kenneth Murphy, Thomas Gräupl and Andrew Marriott. Their work appears in journals such as Mathematics and Financial Economics, International Journal of Theoretical and Applied Finance, SIAM Journal on Financial Mathematics, Energy Economics and Mathematical 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.