P Zanetti
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction
Papers in
- Finance 5
- Stochastic processes and financial applications 4
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- Probability and Risk Models 4
- Co-authors
- Ugo Fiore (11 shared papers)Francesca Perla (11 shared papers)Francesco Palmieri (3 shared papers)Alfredo De Santis (1 shared paper)Adrian Florea (4 shared papers)Árpád Gellért (2 shared papers)G. R. Gangadharan (1 shared paper)Salvatore Scognamiglio (3 shared papers)
- Journals
- Information Sciences (2 papers)Journal of Computational Science (1 paper)Decisions in Economics and Finance (1 paper)International Journal of Information Management (1 paper)Human Genetics (1 paper)
- Partner nations
- ItalyRomaniaUnited States
In The Last Decade
P Zanetti
20 papers receiving 603 citations
P Zanetti's Hit Papers
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 353
- Accounting 114
- Media Technology 59
- Health Information Management 18
- Management Science and Operations Research 52
Countries citing papers authored by P Zanetti
This map shows the geographic impact of P Zanetti'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 P Zanetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Zanetti more than expected).
Fields of papers citing papers by P Zanetti
This network shows the impact of papers produced by P Zanetti. 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 P Zanetti. The network helps show where P Zanetti may publish in the future.
Co-authors
The 25 scholars most cited alongside P Zanetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using generative adversarial networks for improving classification effectiveness in credit card fraud detection Hit paper breakdown → | 2017 | 376 |
| 2 | 2019 | 44 | |
| 3 | 2024 | 35 | |
| 4 | 1996 | 34 | |
| 5 | 2019 | 25 | |
| 6 | 2019 | 20 | |
| 7 | 2018 | 15 | |
| 8 | [Neonatal hyperbilirubinemia and response of lymphocytes to phytohemagglutinin]. | 1968 | 12 |
| 9 | A parallel block Lanczos algorithm and its implementation for the evaluation of some eigenvalues of large sparse symmetric matrices on multicomputers | 2006 | 11 |
| 10 | 2018 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2015 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2009 | 4 | |
| 17 | Type III dissection according to DeBakey. Comments on 45 cases treated. | 1999 | 3 |
| 18 | 2009 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2008 | 1 |
About P Zanetti
P Zanetti is a scholar working on Finance, Management Science and Operations Research, Demography, Artificial Intelligence and Economics and Econometrics, having authored 24 papers that have together received 633 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (5 papers), Stochastic processes and financial applications (4 papers), Probability and Risk Models (4 papers), Big Data and Business Intelligence (2 papers), Insurance and Financial Risk Management (2 papers), Alzheimer's disease research and treatments (1 paper), Electromagnetic Scattering and Analysis (1 paper) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Artificial Intelligence (353 citations), Accounting (114 citations), Media Technology (59 citations), Health Information Management (18 citations) and Management Science and Operations Research (52 citations). P Zanetti has collaborated with scholars based in Italy, Romania and United States. Frequent co-authors include Ugo Fiore, Francesca Perla, Francesco Palmieri, Alfredo De Santis, Adrian Florea, Árpád Gellért, G. R. Gangadharan, Salvatore Scognamiglio, Mario Rosario Guarracino and Gennaro Punzo. Their work appears in journals such as Information Sciences, Journal of Computational Science, Decisions in Economics and Finance, International Journal of Information Management and Human Genetics.
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.