Stefano Galluccio
- Economics and Econometrics top 5%
- Finance top 5%
- Statistical and Nonlinear Physics top 10%
- Condensed Matter Physics
- Genetics
- Co-authors
- Marc PottersJean‐Philippe BouchaudGuido CaldarelliMatteo MarsiliAndréa RoncoroniYi‐Cheng ZhangAngelo VulpianiOlivier Scaillet
- Topics
- Stochastic processes and financial applications (12 papers)Financial Risk and Volatility Modeling (9 papers)Financial Markets and Investment Strategies (5 papers)
- Journals
- Physical Review LettersJournal of Banking & FinancePhysica A Statistical Mechanics and its Applications
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Stefano Galluccio
18 papers receiving 271 citations
Peers
Comparison fields: 5 of 52
- Economics and Econometrics 159
- Finance 143
- Statistical and Nonlinear Physics 60
- Condensed Matter Physics 51
- Genetics 38
Countries citing papers authored by Stefano Galluccio
This map shows the geographic impact of Stefano Galluccio'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 Stefano Galluccio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Galluccio more than expected).
Fields of papers citing papers by Stefano Galluccio
This network shows the impact of papers produced by Stefano Galluccio. 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 Stefano Galluccio. The network helps show where Stefano Galluccio may publish in the future.
Co-authorship network of co-authors of Stefano Galluccio
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Galluccio. A scholar is included among the top collaborators of Stefano Galluccio 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 Stefano Galluccio. Stefano Galluccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 70 | |
| 14 | 37 | |
| 15 | 83 | |
| 16 | 0 | |
| 17 | 12 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 10 |
About Stefano Galluccio
Stefano Galluccio is a scholar working on Finance, Mathematical Physics and Condensed Matter Physics, having authored 20 papers that have together received 290 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (12 papers), Financial Risk and Volatility Modeling (9 papers) and Financial Markets and Investment Strategies (5 papers). The work is most often cited by research in Finance (143 citations), Economics and Econometrics (159 citations) and Statistical and Nonlinear Physics (60 citations). Stefano Galluccio has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Marc Potters, Jean‐Philippe Bouchaud, Guido Caldarelli, Matteo Marsili, Andréa Roncoroni, Yi‐Cheng Zhang, Angelo Vulpiani, Olivier Scaillet, J.H. Ly and Yicheng Zhang. Their work appears in journals such as Physical Review Letters, Journal of Banking & Finance and Physica A Statistical Mechanics and its Applications.
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.