Francesco Brioschi
- Economics and Econometrics top 10%
- Computational Theory and Mathematics top 5%
- Accounting top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Umberto BertelèLuigi BuzzacchiMassimo G. ColomboGiulio CainelliShimon EvenArturo LocatelliMarcello PagniniMarcello Bianchi
- Topics
- Diverse academic and cultural studies (4 papers)Optimization and Variational Analysis (3 papers)Management, Economics, and Public Policy (3 papers)
- Journals
- Journal of Banking & FinanceOperations ResearchJournal of Mathematical Analysis and Applications
- Partner nations
- ItalyUnited States
In The Last Decade
Francesco Brioschi
17 papers receiving 332 citations
Peers
Comparison fields: 5 of 60
- Economics and Econometrics 100
- Computational Theory and Mathematics 80
- Accounting 73
- Computer Networks and Communications 72
- Artificial Intelligence 70
Countries citing papers authored by Francesco Brioschi
This map shows the geographic impact of Francesco Brioschi'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 Francesco Brioschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Brioschi more than expected).
Fields of papers citing papers by Francesco Brioschi
This network shows the impact of papers produced by Francesco Brioschi. 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 Francesco Brioschi. The network helps show where Francesco Brioschi may publish in the future.
Co-authorship network of co-authors of Francesco Brioschi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Brioschi. A scholar is included among the top collaborators of Francesco Brioschi 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 Francesco Brioschi. Francesco Brioschi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Assetti proprietari e mercato delle imprese. Gruppo, proprietà e controllo nelle imprese italiane medio-grandi | 10 |
| 6 | 10 | |
| 7 | Gruppi di imprese e mercato finanziario: la struttura di potere dell'industria italiana | 7 |
| 8 | 75 | |
| 9 | 117 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 12 | |
| 17 | 4 |
About Francesco Brioschi
Francesco Brioschi is a scholar working on Numerical Analysis, Marketing and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 350 indexed citations. Recurring topics across this work include Diverse academic and cultural studies (4 papers), Optimization and Variational Analysis (3 papers) and Management, Economics, and Public Policy (3 papers). The work is most often cited by research in Accounting (73 citations), Computational Theory and Mathematics (80 citations) and Finance (44 citations). Francesco Brioschi has collaborated with scholars based in Italy and United States. Frequent co-authors include Umberto Bertelè, Luigi Buzzacchi, Massimo G. Colombo, Giulio Cainelli, Shimon Even, Arturo Locatelli, Marcello Pagnini, Marcello Bianchi, Stefano Paleari and Fabrizio Barca. Their work appears in journals such as Journal of Banking & Finance, Operations Research and Journal of Mathematical Analysis and 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.