Carlo Marinelli
- Finance top 5%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 5%
- Control and Systems Engineering top 10%
- Economics and Econometrics
- Co-authors
- Michael RöcknerSergei SavinFausto GozziSvetlozar T. RachevStefano d’AddonaAndreas EberleJavad SameiMaedeh Amirmaleki
- Topics
- Stochastic processes and financial applications (24 papers)Financial Risk and Volatility Modeling (11 papers)Advanced Mathematical Modeling in Engineering (8 papers)
- Journals
- European Journal of Operational ResearchJournal of Mathematical Analysis and ApplicationsMaterials Letters
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Carlo Marinelli
36 papers receiving 357 citations
Peers
Comparison fields: 5 of 52
- Finance 230
- Computational Theory and Mathematics 92
- Applied Mathematics 85
- Control and Systems Engineering 68
- Economics and Econometrics 65
Countries citing papers authored by Carlo Marinelli
This map shows the geographic impact of Carlo Marinelli'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 Carlo Marinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Marinelli more than expected).
Fields of papers citing papers by Carlo Marinelli
This network shows the impact of papers produced by Carlo Marinelli. 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 Carlo Marinelli. The network helps show where Carlo Marinelli may publish in the future.
Co-authorship network of co-authors of Carlo Marinelli
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Marinelli. A scholar is included among the top collaborators of Carlo Marinelli 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 Carlo Marinelli. Carlo Marinelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 29 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 9 | |
| 12 | WELL-POSEDNESS AND ERGODICITY FOR STOCHASTIC REACTION-DIFFUSION EQUATIONS WITH MULTIPLICATIVE POISSON NOISE | 1 |
| 13 | 48 | |
| 14 | 43 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 30 | |
| 20 | 0 |
About Carlo Marinelli
Carlo Marinelli is a scholar working on Finance, Applied Mathematics and Mathematical Physics, having authored 38 papers that have together received 378 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (24 papers), Financial Risk and Volatility Modeling (11 papers) and Advanced Mathematical Modeling in Engineering (8 papers). The work is most often cited by research in Finance (230 citations), Applied Mathematics (85 citations) and Mathematical Physics (63 citations). Carlo Marinelli has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Michael Röckner, Sergei Savin, Fausto Gozzi, Svetlozar T. Rachev, Stefano d’Addona, Andreas Eberle, Javad Samei, Maedeh Amirmaleki, Daniel E. Green and Viorel Barbu. Their work appears in journals such as European Journal of Operational Research, Journal of Mathematical Analysis and Applications and Materials Letters.
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.