Davide Ferrari

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, Caroline P. Le, Erica K. Sloan, Matthew A. Pimentel, Corina Kim-Fuchs, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Davide Ferrari Italy 16 452 175 168 142 138 66 1.2k
Ron Milo Israel 26 118 0.3× 81 0.5× 288 1.7× 413 2.9× 199 1.4× 66 3.3k
Yufan Zhao United States 18 136 0.3× 26 0.1× 674 4.0× 255 1.8× 149 1.1× 38 1.4k
Gabriela Czanner United Kingdom 21 145 0.3× 163 0.9× 215 1.3× 208 1.5× 32 0.2× 79 1.9k
Gang Zheng United States 28 220 0.5× 44 0.3× 29 0.2× 287 2.0× 560 4.1× 116 2.3k
Zhong Xue United States 27 147 0.3× 67 0.4× 68 0.4× 163 1.1× 11 0.1× 127 2.9k
Prem Puri United States 23 26 0.1× 303 1.7× 22 0.1× 265 1.9× 374 2.7× 283 2.4k
Marco Lorenzi France 22 355 0.8× 45 0.3× 281 1.7× 178 1.3× 24 0.2× 93 1.6k
Marco Randazzo Italy 20 31 0.1× 16 0.1× 125 0.7× 115 0.8× 8 0.1× 68 1.1k
Cheryl Roe United States 17 47 0.1× 20 0.1× 77 0.5× 259 1.8× 54 0.4× 33 1.2k
Vasileios C. Pezoulas Greece 13 134 0.3× 36 0.2× 23 0.1× 66 0.5× 12 0.1× 71 968

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

20 of 20 papers shown
1.
Ferrari, Davide & Michael Dumbser. (2024). A Semi-implicit Finite Volume Scheme for Incompressible Two-Phase Flows. Communications on Applied Mathematics and Computation. 6(4). 2295–2330. 2 indexed citations
2.
Ferrari, Davide, Ilya Peshkov, Evgeniy Romenski, & Michael Dumbser. (2024). A unified HTC multiphase model of continuum mechanics. Journal of Computational Physics. 521. 113553–113553. 3 indexed citations
3.
Ferrari, Davide, et al.. (2024). Exponential tilting for zero-inflated interval regression with applications to cyber security survey data. Journal of the Royal Statistical Society Series C (Applied Statistics). 73(4). 1065–1081.
4.
Casarin, Roberto, et al.. (2023). Nowcasting industrial production using linear and non-linear models of electricity demand. Energy Economics. 126. 107006–107006. 4 indexed citations
5.
Ferrari, Davide, et al.. (2022). Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art.. PubMed. 2022. 442–451. 3 indexed citations
6.
Mandreoli, Federica, et al.. (2022). Real-world data mining meets clinical practice: Research challenges and perspective. Frontiers in Big Data. 5. 1021621–1021621. 10 indexed citations
7.
Ferrari, Davide, et al.. (2020). Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study.. IRIS UNIMORE (University of Modena and Reggio Emilia). 2 indexed citations
8.
Ferrari, Davide, Federica Mandreoli, Giovanni Guaraldi, Jovana Milić, & Paolo Missier. (2020). Predicting respiratory failure in patients with COVID-19 pneumonia: A case study from Northern Italy. IRIS UNIMORE (University of Modena and Reggio Emilia). 2820. 32–38. 1 indexed citations
9.
Seghouane, Abd‐Krim & Davide Ferrari. (2019). Robust Hemodynamic Response Function Estimation From fNIRS Signals. IEEE Transactions on Signal Processing. 67(7). 1838–1848. 22 indexed citations
10.
Mølck, Christina, et al.. (2018). A Spatio-Temporal Model and Inference Tools for Longitudinal Count Data on Multicolor Cell Growth. The International Journal of Biostatistics. 14(2).
11.
Chang, Aeson, Caroline P. Le, Adam K. Walker, et al.. (2016). β2-Adrenoceptors on tumor cells play a critical role in stress-enhanced metastasis in a mouse model of breast cancer. Brain Behavior and Immunity. 57. 106–115. 85 indexed citations
12.
Creed, Sarah J., Caroline P. Le, Mohd Ali Hassan, et al.. (2015). β2-adrenoceptor signaling regulates invadopodia formation to enhance tumor cell invasion. Breast Cancer Research. 17(1). 62 indexed citations
13.
Ferrari, Davide, et al.. (2015). Reliable inference for complex models by discriminative composite likelihood estimation. Journal of Multivariate Analysis. 144. 68–80. 1 indexed citations
14.
Bergamaschi, Sonia, Davide Ferrari, Francesco Guerra, & Giovanni Simonini. (2014). Discovering the topics of a data source: A statistical approach?. IRIS UNIMORE (University of Modena and Reggio Emilia). 1310. 1 indexed citations
15.
Kim-Fuchs, Corina, Caroline P. Le, Matthew A. Pimentel, et al.. (2014). Chronic stress accelerates pancreatic cancer growth and invasion: A critical role for beta-adrenergic signaling in the pancreatic microenvironment. Brain Behavior and Immunity. 40. 40–47. 217 indexed citations
16.
Bayati, Ilmas, Marco Belloli, Davide Ferrari, F. Fossati, & Hermes Giberti. (2014). Wind Tunnel Tests On Floating Offshore Wind Turbines: Design Of a 6 DOF Robotic Platform For Floating Motion Simulation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–10. 3 indexed citations
17.
Ferrari, Davide & Hermes Giberti. (2014). A genetic algorithm approach to the kinematic synthesis of a 6-DoF parallel manipulator. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 39. 222–227. 14 indexed citations
18.
Lalla, Michele & Davide Ferrari. (2010). Web‐based versus paper‐based data collection for the evaluation of teaching activity: empirical evidence from a case study. Assessment & Evaluation in Higher Education. 36(3). 347–365. 9 indexed citations
19.
Ferrari, Davide, et al.. (2009). A fully parametric approach to minimum power-divergence estimation. Archive ouverte UNIGE (University of Geneva). 1 indexed citations
20.
Villani, Marco, et al.. (2007). An agent‐based model of exaptive processes. European Management Review. 4(3). 141–151. 23 indexed citations

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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