Gianluca Cubadda
- Economics and Econometrics top 5%
- General Economics, Econometrics and Finance top 5%
- Finance top 5%
- Management Science and Operations Research
- Statistics and Probability top 10%
- Co-authors
- Alain HecqFranz C. PalmBertrand CandelonJörg BreitungVincenzo AtellaRoberto ZelliJoann JasiakDenise R. Osborn
- Topics
- Monetary Policy and Economic Impact (27 papers)Market Dynamics and Volatility (17 papers)Financial Risk and Volatility Modeling (12 papers)
- Partner nations
- ItalyNetherlandsCanada
In The Last Decade
Gianluca Cubadda
34 papers receiving 293 citations
Peers
Comparison fields: 5 of 29
- Economics and Econometrics 241
- General Economics, Econometrics and Finance 216
- Finance 154
- Management Science and Operations Research 29
- Statistics and Probability 25
Countries citing papers authored by Gianluca Cubadda
This map shows the geographic impact of Gianluca Cubadda'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 Gianluca Cubadda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Cubadda more than expected).
Fields of papers citing papers by Gianluca Cubadda
This network shows the impact of papers produced by Gianluca Cubadda. 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 Gianluca Cubadda. The network helps show where Gianluca Cubadda may publish in the future.
Co-authorship network of co-authors of Gianluca Cubadda
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Cubadda. A scholar is included among the top collaborators of Gianluca Cubadda 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 Gianluca Cubadda. Gianluca Cubadda 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 24 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 15 | |
| 16 | 6 | |
| 17 | Common Serial Correlation and Common Business Cycles: A Cautious Note | 1 |
| 18 | 44 | |
| 19 | 6 | |
| 20 | 1 |
About Gianluca Cubadda
Gianluca Cubadda is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics, having authored 38 papers that have together received 313 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (27 papers), Market Dynamics and Volatility (17 papers) and Financial Risk and Volatility Modeling (12 papers). The work is most often cited by research in General Economics, Econometrics and Finance (216 citations), Finance (154 citations) and Economics and Econometrics (241 citations). Gianluca Cubadda has collaborated with scholars based in Italy, Netherlands and Canada. Frequent co-authors include Alain Hecq, Franz C. Palm, Bertrand Candelon, Jörg Breitung, Vincenzo Atella, Roberto Zelli, Joann Jasiak, Denise R. Osborn, Stefano Grassi and Tomás del Barrio Castro. Their work appears in journals such as Journal of Econometrics, Economics Letters and International Journal of Forecasting.
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.