Luca Bagnato
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Finance top 5%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Antonio PunzoAntonello MaruottiSalvatore D. TomarchioValerio PotìOrietta NicolisEleonora BartoloniAngelo MazzaR. Rusconi
- Topics
- Bayesian Methods and Mixture Models (15 papers)Financial Risk and Volatility Modeling (14 papers)Complex Systems and Time Series Analysis (13 papers)
- Journals
- The Journal of Experimental MedicineJournal of Statistical SoftwarePhysica A Statistical Mechanics and its Applications
- Partner nations
- ItalyCanadaUnited States
In The Last Decade
Luca Bagnato
36 papers receiving 378 citations
Peers
Comparison fields: 5 of 66
- Statistics and Probability 205
- Artificial Intelligence 165
- Finance 125
- Economics and Econometrics 105
- Management Science and Operations Research 66
Countries citing papers authored by Luca Bagnato
This map shows the geographic impact of Luca Bagnato'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 Luca Bagnato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Bagnato more than expected).
Fields of papers citing papers by Luca Bagnato
This network shows the impact of papers produced by Luca Bagnato. 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 Luca Bagnato. The network helps show where Luca Bagnato may publish in the future.
Co-authorship network of co-authors of Luca Bagnato
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Bagnato. A scholar is included among the top collaborators of Luca Bagnato 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 Luca Bagnato. Luca Bagnato 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 17 | |
| 11 | 23 | |
| 12 | 60 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 17 | |
| 16 | 8 | |
| 17 | 19 | |
| 18 | 6 | |
| 19 | On the use of χ2-test to check serial independence | 5 |
| 20 | 2 |
About Luca Bagnato
Luca Bagnato is a scholar working on Statistics and Probability, Computational Mathematics and Finance, having authored 38 papers that have together received 394 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Financial Risk and Volatility Modeling (14 papers) and Complex Systems and Time Series Analysis (13 papers). The work is most often cited by research in Statistics and Probability (205 citations), Finance (125 citations) and Computational Mathematics (5 citations). Luca Bagnato has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Antonio Punzo, Antonello Maruotti, Salvatore D. Tomarchio, Valerio Potì, Orietta Nicolis, Eleonora Bartoloni, Angelo Mazza, R. Rusconi, Maurizio Forte and S. Risica. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Statistical Software 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.