Marco Ferrante
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
- Finance 17
- Stochastic processes and financial applications 17
- Financial Risk and Volatility Modeling 4
- Co-authors
- Carles Rovira (8 shared papers)Nicola Ferro (12 shared papers)Maria Maistro (3 shared papers)Marta Sanz–Solé (3 shared papers)Paolo Vidoni (3 shared papers)David Nualart (3 shared papers)Norbert Fuhr (1 shared paper)Xavier Bardina (3 shared papers)
In The Last Decade
Marco Ferrante
41 papers receiving 414 citations
Peers
Comparison fields: 5 of 79
- Finance 172
- Modeling and Simulation 59
- Applied Mathematics 88
- Mathematical Physics 43
- Numerical Analysis 25
Countries citing papers authored by Marco Ferrante
This map shows the geographic impact of Marco Ferrante'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 Marco Ferrante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Ferrante more than expected).
Fields of papers citing papers by Marco Ferrante
This network shows the impact of papers produced by Marco Ferrante. 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 Marco Ferrante. The network helps show where Marco Ferrante may publish in the future.
Co-authors
The 24 scholars most cited alongside Marco Ferrante, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 55 | |
| 2 | 1995 | 41 | |
| 3 | 2010 | 39 | |
| 4 | The Coupon Collector’s Problem | 2014 | 25 |
| 5 | 2021 | 17 | |
| 6 | 2015 | 17 | |
| 7 | 2015 | 16 | |
| 8 | 2006 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2006 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2014 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 1995 | 11 | |
| 16 | 1998 | 11 | |
| 17 | 2014 | 10 | |
| 18 | 1990 | 9 | |
| 19 | 2013 | 9 | |
| 20 | 2017 | 8 |
About Marco Ferrante
Marco Ferrante is a scholar working on Finance, Artificial Intelligence, Mathematical Physics, Information Systems and Computational Theory and Mathematics, having authored 44 papers that have together received 435 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Stochastic processes and statistical mechanics (6 papers), Information Retrieval and Search Behavior (6 papers), Nonlinear Differential Equations Analysis (6 papers), Advanced Mathematical Modeling in Engineering (5 papers), Stability and Controllability of Differential Equations (4 papers) and Financial Risk and Volatility Modeling (4 papers). The work is most often cited by research in Finance (172 citations), Modeling and Simulation (59 citations), Applied Mathematics (88 citations), Mathematical Physics (43 citations) and Numerical Analysis (25 citations). Marco Ferrante has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Carles Rovira, Nicola Ferro, Maria Maistro, Marta Sanz–Solé, Paolo Vidoni, David Nualart, Norbert Fuhr, Xavier Bardina, Wolfgang J. Runggaldier and Alessandro Berti. Their work appears in journals such as Stochastic Processes and their Applications, Bernoulli, The Annals of Probability, Journal of Evolution Equations and ESAIM Probability and 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.