Paolo Guasoni
- Finance top 1%
- Economics and Econometrics top 2%
- Management Science and Operations Research top 5%
- Demography top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Miklós RásonyiWalter SchachermayerScott RobertsonJohannes Muhle‐KarbeMaurizio PratelliFrancesca BiaginiStefan GerholdJan Obłój
- Topics
- Stochastic processes and financial applications (50 papers)Financial Markets and Investment Strategies (41 papers)Economic theories and models (38 papers)
- Partner nations
- United StatesIrelandItaly
In The Last Decade
Paolo Guasoni
74 papers receiving 891 citations
Peers
Comparison fields: 5 of 69
- Finance 842
- Economics and Econometrics 568
- Management Science and Operations Research 168
- Demography 65
- General Economics, Econometrics and Finance 53
Countries citing papers authored by Paolo Guasoni
This map shows the geographic impact of Paolo Guasoni'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 Paolo Guasoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Guasoni more than expected).
Fields of papers citing papers by Paolo Guasoni
This network shows the impact of papers produced by Paolo Guasoni. 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 Paolo Guasoni. The network helps show where Paolo Guasoni may publish in the future.
Co-authorship network of co-authors of Paolo Guasoni
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Guasoni. A scholar is included among the top collaborators of Paolo Guasoni 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 Paolo Guasoni. Paolo Guasoni 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 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 56 | |
| 14 | 0 | |
| 15 | 30 | |
| 16 | 8 | |
| 17 | 37 | |
| 18 | 6 | |
| 19 | Mean-Variance Hedging for Stochastic Volatility Models | 1 |
| 20 | Shape optimization problems over classes of convex domains. | 31 |
About Paolo Guasoni
Paolo Guasoni is a scholar working on Finance, Economics and Econometrics and General Decision Sciences, having authored 82 papers that have together received 964 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (50 papers), Financial Markets and Investment Strategies (41 papers) and Economic theories and models (38 papers). The work is most often cited by research in Finance (842 citations), Economics and Econometrics (568 citations) and Management Science and Operations Research (168 citations). Paolo Guasoni has collaborated with scholars based in United States, Ireland and Italy. Frequent co-authors include Miklós Rásonyi, Walter Schachermayer, Scott Robertson, Johannes Muhle‐Karbe, Maurizio Pratelli, Francesca Biagini, Stefan Gerhold, Jan Obłój, Giuseppe Buttazzo and Gur Huberman. Their work appears in journals such as Management Science, Scientific Reports and Neuroscience.
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.