Davide Ferrari
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Molecular Biology
- Statistics and Probability top 2%
- Co-authors
- Yuhong YangCaroline P. LeErica K. SloanCorina Kim-FuchsMatthew A. PimentelFrédéric HollandeHermes GibertiEliane Angst
- Topics
- Statistical Methods and Inference (15 papers)Financial Risk and Volatility Modeling (7 papers)Advanced Statistical Methods and Models (6 papers)
- Partner nations
- ItalyAustraliaUnited Kingdom
In The Last Decade
Davide Ferrari
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 150
- Psychiatry and Mental health 452
- Cellular and Molecular Neuroscience 175
- Oncology 168
- Molecular Biology 142
- Statistics and Probability 138
Countries citing papers authored by Davide Ferrari
This map shows the geographic impact of Davide Ferrari'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 Davide Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Ferrari more than expected).
Fields of papers citing papers by Davide Ferrari
This network shows the impact of papers produced by Davide Ferrari. 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 Davide Ferrari. The network helps show where Davide Ferrari may publish in the future.
Co-authorship network of co-authors of Davide Ferrari
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Ferrari. A scholar is included among the top collaborators of Davide Ferrari 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 Davide Ferrari. Davide Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 22 | |
| 8 | Predicting respiratory failure in patients with COVID-19 pneumonia: A case study from Northern Italy | 1 |
| 9 | Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study. | 2 |
| 10 | 22 | |
| 11 | 0 | |
| 12 | 85 | |
| 13 | 251 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 62 | |
| 17 | Discovering the topics of a data source: A statistical approach? | 1 |
| 18 | 217 | |
| 19 | 9 | |
| 20 | A fully parametric approach to minimum power-divergence estimation | 1 |
About Davide Ferrari
Davide Ferrari is a scholar working on Statistics and Probability, Finance and Applied Microbiology and Biotechnology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Financial Risk and Volatility Modeling (7 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Psychiatry and Mental health (452 citations), Behavioral Neuroscience (98 citations) and Statistics and Probability (138 citations). Davide Ferrari has collaborated with scholars based in Italy, Australia and United Kingdom. Frequent co-authors include Yuhong Yang, Caroline P. Le, Erica K. Sloan, Corina Kim-Fuchs, Matthew A. Pimentel, Frédéric Hollande, Hermes Giberti, Eliane Angst, David M. Shackleford and Cameron J. Nowell. Their work appears in journals such as Nature Communications, Scientific Reports and Journal of Computational Physics.
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.