Davide Ferrari

56 papers and 1.0k indexed citations i.

About

Davide Ferrari is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Davide Ferrari has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Davide Ferrari’s work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Davide Ferrari is often cited by papers focused on Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Davide Ferrari collaborates with scholars based in Italy, Australia and United Kingdom. Davide Ferrari's co-authors include Erica K. Sloan, Caroline P. Le, Matthew A. Pimentel, Corina Kim-Fuchs, Yuhong Yang, Frédéric Hollande, Eliane Angst, David M. Shackleford, Cameron J. Nowell and Hermes Giberti and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Davide Ferrari i

Fields of papers citing papers by Davide Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Davide Ferrari

Since Specialization
Citations

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).

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.

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2025