Lorenzo Trapani
- Economics and Econometrics top 5%
- General Economics, Econometrics and Finance top 5%
- Finance top 5%
- Statistics and Probability top 5%
- General Health Professions
- Co-authors
- Giovanni UrgaLajos HorváthMatteo BarigozziEduardo RossiChihwa KaoGabriella PiscopoValeria D’AmatoSteven Haberman
- Topics
- Monetary Policy and Economic Impact (24 papers)Financial Risk and Volatility Modeling (16 papers)Statistical Methods and Inference (12 papers)
- Journals
- Journal of the American Statistical AssociationJournal of EconometricsThe Annals of Statistics
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Lorenzo Trapani
41 papers receiving 283 citations
Peers
Comparison fields: 5 of 41
- Economics and Econometrics 163
- General Economics, Econometrics and Finance 114
- Finance 99
- Statistics and Probability 67
- General Health Professions 32
Countries citing papers authored by Lorenzo Trapani
This map shows the geographic impact of Lorenzo Trapani'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 Lorenzo Trapani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Trapani more than expected).
Fields of papers citing papers by Lorenzo Trapani
This network shows the impact of papers produced by Lorenzo Trapani. 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 Lorenzo Trapani. The network helps show where Lorenzo Trapani may publish in the future.
Co-authorship network of co-authors of Lorenzo Trapani
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Trapani. A scholar is included among the top collaborators of Lorenzo Trapani 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 Lorenzo Trapani. Lorenzo Trapani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 18 | |
| 16 | 23 | |
| 17 | 3 | |
| 18 | 22 | |
| 19 | 2 | |
| 20 | 1 |
About Lorenzo Trapani
Lorenzo Trapani is a scholar working on General Economics, Econometrics and Finance, Computational Mathematics and Finance, having authored 45 papers that have together received 292 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (24 papers), Financial Risk and Volatility Modeling (16 papers) and Statistical Methods and Inference (12 papers). The work is most often cited by research in General Economics, Econometrics and Finance (114 citations), Finance (99 citations) and Computational Mathematics (5 citations). Lorenzo Trapani has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Giovanni Urga, Lajos Horváth, Matteo Barigozzi, Eduardo Rossi, Chihwa Kao, Gabriella Piscopo, Valeria D’Amato, Chihwa Kao, Steven Haberman and Xinbing Kong. Their work appears in journals such as Journal of the American Statistical Association, Journal of Econometrics and The Annals of 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.