Davide Ferraro
Impact in
- Surfaces, Coatings and Films top 2%
- Surface Modification and Superhydrophobicity
- Biomedical Engineering top 5%
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
Papers in
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- Surface Modification and Superhydrophobicity 11
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- Innovative Microfluidic and Catalytic Techniques Innovation 22
- Microfluidic and Capillary Electrophoresis Applications 19
- Microfluidic and Bio-sensing Technologies 8
Davide Ferraro
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Surfaces, Coatings and Films 334
- Biomedical Engineering 730
- Computational Mechanics 300
- Electrical and Electronic Engineering 500
- Electronic, Optical and Magnetic Materials 64
Countries citing papers authored by Davide Ferraro
This map shows the geographic impact of Davide Ferraro'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 Ferraro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Ferraro more than expected).
Fields of papers citing papers by Davide Ferraro
This network shows the impact of papers produced by Davide Ferraro. 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 Ferraro. The network helps show where Davide Ferraro may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Ferraro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 31 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 9 | |
| 12 | Topological Insights in Sparse Neural Networks. | 2020 | 2 |
| 13 | 2020 | 65 | |
| 14 | 2019 | 23 | |
| 15 | 2017 | 44 | |
| 16 | 2017 | 52 | |
| 17 | 2016 | 47 | |
| 18 | Integrated magnetic tweezers in a droplet microfluidic lab-on-a-chip for biochemical analysis | 2015 | 0 |
| 19 | 2014 | 61 | |
| 20 | 2013 | 138 |
About Davide Ferraro
Davide Ferraro is a scholar working on Surfaces, Coatings and Films, Biomedical Engineering, Computational Mechanics, Electrical and Electronic Engineering and Bioengineering, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (22 papers), Electrowetting and Microfluidic Technologies (21 papers), Microfluidic and Capillary Electrophoresis Applications (19 papers), Surface Modification and Superhydrophobicity (11 papers), Fluid Dynamics and Heat Transfer (9 papers), Microfluidic and Bio-sensing Technologies (8 papers), Fluid Dynamics and Thin Films (7 papers) and Electrohydrodynamics and Fluid Dynamics (6 papers). The work is most often cited by research in Surfaces, Coatings and Films (334 citations), Biomedical Engineering (730 citations), Computational Mechanics (300 citations), Electrical and Electronic Engineering (500 citations) and Electronic, Optical and Magnetic Materials (64 citations). Davide Ferraro has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Giampaolo Mistura, Matteo Pierno, Jean‐Louis Viovy, Stéphanie Descroix, Marco Serra, Silvia Varagnolo, Giorgio Amati, Mauro Sbragaglia, Luca Biferale and Iago Pereiro. Their work appears in journals such as Sensors and Actuators B Chemical, Lab on a Chip, Sensors, Langmuir and Communications 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.