Eleonora Ferraris
- Automotive Engineering top 1%
- Additive Manufacturing and 3D Printing Technologies 42
- Biomedical Engineering top 2%
- Advanced Surface Polishing Techniques 26
- 3D Printing in Biomedical Research 15
- Advanced Sensor and Energy Harvesting Materials 15
- Mechanical Engineering top 2%
- Advanced machining processes and optimization 27
- Injection Molding Process and Properties 11
- Additive Manufacturing Materials and Processes 10
- Biomaterials top 5%
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- Advanced Machining and Optimization Techniques 27
- Co-authors
- Dominiek ReynaertsBert LauwersJie ZhangMatthias G.R. FaesJef VleugelsWangwang YuBrecht Van HoorewederJan Ivens
- Journals
- SHILAP Revista de lepidopterología (1 paper)Electrochimica Acta (1 paper)Molecules (1 paper)
In The Last Decade
Eleonora Ferraris
102 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 146
- Automotive Engineering 847
- Biomedical Engineering 992
- Industrial and Manufacturing Engineering 198
- Mechanical Engineering 736
- Biomaterials 240
Countries citing papers authored by Eleonora Ferraris
This map shows the geographic impact of Eleonora Ferraris'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 Eleonora Ferraris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleonora Ferraris more than expected).
Fields of papers citing papers by Eleonora Ferraris
This network shows the impact of papers produced by Eleonora Ferraris. 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 Eleonora Ferraris. The network helps show where Eleonora Ferraris may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eleonora Ferraris, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 37 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2022 | 19 | |
| 17 | 2021 | 36 | |
| 18 | 2018 | 24 | |
| 19 | Effective tool wear compensation in micro-EDM milling of 3D cavities | 2015 | 2 |
| 20 | 2013 | 30 |
About Eleonora Ferraris
Eleonora Ferraris is a scholar working on Automotive Engineering, Biomedical Engineering and Mechanical Engineering, having authored 111 papers that have together received 2.0k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (42 papers), Advanced Machining and Optimization Techniques (27 papers), Advanced machining processes and optimization (27 papers), Advanced Surface Polishing Techniques (26 papers), 3D Printing in Biomedical Research (15 papers), Advanced Sensor and Energy Harvesting Materials (15 papers), Injection Molding Process and Properties (11 papers) and Additive Manufacturing Materials and Processes (10 papers). The work is most often cited by research in Automotive Engineering (847 citations), Biomedical Engineering (992 citations) and Industrial and Manufacturing Engineering (198 citations). Eleonora Ferraris has collaborated with scholars based in Belgium, Italy and China. Frequent co-authors include Dominiek Reynaerts, Bert Lauwers, Jie Zhang, Matthias G.R. Faes, Jef Vleugels, Wangwang Yu, Brecht Van Hooreweder, Jan Ivens, David Moens and Carola Esposito Corcione. Their work appears in journals such as SHILAP Revista de lepidopterología, Electrochimica Acta and Molecules.
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.