Davide Ferrari

119 total papers · 2.1k total citations
66 papers, 1.2k citations indexed

About

Davide Ferrari is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Davide Ferrari has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 8 papers in Finance. Recurrent topics in Davide Ferrari's work include Statistical Methods and Inference (15 papers), Financial Risk and Volatility Modeling (7 papers) and Advanced Statistical Methods and Models (6 papers). Davide Ferrari is often cited by papers focused on Statistical Methods and Inference (15 papers), Financial Risk and Volatility Modeling (7 papers) and Advanced Statistical Methods and Models (6 papers). Davide Ferrari collaborates with scholars based in Italy, Australia and United Kingdom. Davide Ferrari's co-authors include Yuhong Yang, Erica K. Sloan, Caroline P. Le, Corina Kim-Fuchs, Matthew A. Pimentel, Hermes Giberti, Frédéric Hollande, David M. Shackleford, Eliane Angst and Cameron J. Nowell and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Davide Ferrari

61 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Davide Ferrari 443 172 166 140 137 66 1.2k
Yufan Zhao 136 0.3× 26 0.2× 673 4.1× 255 1.8× 149 1.1× 37 1.4k
Yong Hao 70 0.2× 106 0.6× 249 1.5× 478 3.4× 5 0.0× 98 1.5k
Shuguang Huang 36 0.1× 55 0.3× 219 1.3× 654 4.7× 38 0.3× 66 1.2k
Alessia Sarica 226 0.5× 146 0.8× 16 0.1× 128 0.9× 13 0.1× 60 1.2k
W Köhler 20 0.0× 68 0.4× 133 0.8× 87 0.6× 260 1.9× 41 1.3k
Jing Zhao 131 0.3× 107 0.6× 116 0.7× 623 4.5× 3 0.0× 52 1.3k
Yize Zhao 30 0.1× 49 0.3× 52 0.3× 166 1.2× 68 0.5× 105 1.4k
Xinghu Zhang 48 0.1× 50 0.3× 71 0.4× 156 1.1× 10 0.1× 108 1.2k
Shuchen Li 49 0.1× 47 0.3× 47 0.3× 108 0.8× 12 0.1× 66 1.1k
Zheng Wang 64 0.1× 35 0.2× 30 0.2× 76 0.5× 21 0.2× 72 1.3k

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).

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.

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

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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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