Filippo Zanini

2.0k total citations
80 papers, 1.6k citations indexed

About

Filippo Zanini is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Filippo Zanini has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Mechanical Engineering, 36 papers in Biomedical Engineering and 30 papers in Automotive Engineering. Recurrent topics in Filippo Zanini's work include Additive Manufacturing Materials and Processes (37 papers), Advanced X-ray and CT Imaging (29 papers) and Additive Manufacturing and 3D Printing Technologies (29 papers). Filippo Zanini is often cited by papers focused on Additive Manufacturing Materials and Processes (37 papers), Advanced X-ray and CT Imaging (29 papers) and Additive Manufacturing and 3D Printing Technologies (29 papers). Filippo Zanini collaborates with scholars based in Italy, Denmark and United Kingdom. Filippo Zanini's co-authors include Simone Carmignato, M. Benedetti, Michele Dallago, V. Fontanari, Michele Bandini, Tom Vaneker, Wessel W. Wits, B. Winiarski, Enrico Savio and Marco Sorgato and has published in prestigious journals such as PLoS ONE, Journal of Fluid Mechanics and Materials Science and Engineering A.

In The Last Decade

Filippo Zanini

73 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filippo Zanini Italy 21 1.2k 804 353 230 179 80 1.6k
Fabien Léonard United Kingdom 16 923 0.7× 610 0.8× 242 0.7× 292 1.3× 192 1.1× 48 1.3k
David Paloušek Czechia 21 805 0.6× 558 0.7× 276 0.8× 127 0.6× 71 0.4× 66 1.3k
Elena López Germany 15 1.7k 1.4× 1.1k 1.4× 198 0.6× 297 1.3× 168 0.9× 73 2.1k
Antonello Astarita Italy 29 2.2k 1.8× 616 0.8× 146 0.4× 545 2.4× 389 2.2× 174 2.9k
John Slotwinski United States 18 1.5k 1.2× 1.2k 1.5× 226 0.6× 154 0.7× 124 0.7× 36 1.8k
Noel M. Harrison Ireland 25 833 0.7× 673 0.8× 232 0.7× 201 0.9× 352 2.0× 75 1.6k
Changhui Song China 30 3.2k 2.5× 2.0k 2.5× 509 1.4× 636 2.8× 235 1.3× 113 3.8k
Daniel Koutný Czechia 20 757 0.6× 541 0.7× 206 0.6× 117 0.5× 76 0.4× 59 1.1k
Samuel Tammas‐Williams United Kingdom 16 2.0k 1.6× 1.4k 1.7× 247 0.7× 509 2.2× 162 0.9× 27 2.2k
Atieh Moridi United States 18 1.5k 1.2× 456 0.6× 109 0.3× 592 2.6× 330 1.8× 44 2.1k

Countries citing papers authored by Filippo Zanini

Since Specialization
Citations

This map shows the geographic impact of Filippo Zanini'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 Filippo Zanini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Zanini more than expected).

Fields of papers citing papers by Filippo Zanini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Filippo Zanini. 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 Filippo Zanini. The network helps show where Filippo Zanini may publish in the future.

Co-authorship network of co-authors of Filippo Zanini

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Zanini. A scholar is included among the top collaborators of Filippo Zanini 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 Filippo Zanini. Filippo Zanini 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
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Zanini, Filippo, et al.. (2024). On the effect of material density in dimensional evaluations by X-ray computed tomography of metal-polymer multi-material parts. CIRP journal of manufacturing science and technology. 54. 1–13. 2 indexed citations
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Zanini, Filippo, et al.. (2024). Predicting fatigue life of additively manufactured lattice structures using the image-based Finite Cell Method and average strain energy density. Materials & Design. 246. 113321–113321. 4 indexed citations
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Candela, Silvia, Pietro Rebesan, Simone Carmignato, et al.. (2024). Pure niobium manufactured by Laser-Based Powder Bed Fusion: influence of process parameters and supports on as-built surface quality. The International Journal of Advanced Manufacturing Technology. 131(9-10). 4469–4482. 7 indexed citations
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Alberti, Luigi, et al.. (2024). Electromagnetic Characterization of Silicon–Iron Additively Manufactured Cores for Electric Machines. Energies. 17(3). 650–650. 4 indexed citations
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Zanini, Filippo, et al.. (2024). New multi-function building plate for improving metal laser powder bed fusion by enhancing the alignment accuracy of in-process monitoring data, computed tomography measurements, and building volume geometry. The International Journal of Advanced Manufacturing Technology. 132(5-6). 2369–2380. 5 indexed citations
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Raghavendra, Sunil, Michele Dallago, Filippo Zanini, et al.. (2023). A probabilistic average strain energy density approach to assess the fatigue strength of additively manufactured cellular lattice materials. International Journal of Fatigue. 172. 107601–107601. 19 indexed citations
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Benedetti, M., et al.. (2021). Plain and notch fatigue strength of thick-walled ductile cast iron EN-GJS-600-3: A double-notch critical distance approach to defect sensitivity. International Journal of Fatigue. 152. 106414–106414. 19 indexed citations
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Murchio, Simone, Michele Dallago, Filippo Zanini, et al.. (2021). Additively manufactured Ti–6Al–4V thin struts via laser powder bed fusion: Effect of building orientation on geometrical accuracy and mechanical properties. Journal of the mechanical behavior of biomedical materials. 119. 104495–104495. 78 indexed citations
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Zanini, Filippo, Marco Sorgato, Enrico Savio, & Simone Carmignato. (2020). Uncertainty of CT dimensional measurements performed on metal additively manufactured lattice structures. e-Journal of Nondestructive Testing. 25(2). 5 indexed citations
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Farzaneh, Meisam, et al.. (2020). Pore-Scale Transport and Two-Phase Fluid Structures in Fibrous Porous Layers: Application to Fuel Cells and Beyond. Chalmers Research (Chalmers University of Technology). 9 indexed citations
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Sorgato, Marco, Filippo Zanini, Rachele Bertolini, Andrea Ghiotti, & Stefania Bruschi. (2020). Improvement of micro-hole precision by ultrasound-assisted drilling of laser powder bed fused Ti6Al4V titanium alloy. Precision Engineering. 66. 31–41. 17 indexed citations
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Natali, Arturo N., Chiara Giulia Fontanella, Silvia Todros, et al.. (2020). Conformation and mechanics of the polymeric cuff of artificial urinary sphincter. Mathematical Biosciences & Engineering. 17(4). 3894–3908. 3 indexed citations
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Zanini, Filippo, et al.. (2019). Experimental investigation on the accuracy of XCT measurement of fiber length in fiber reinforced polymers. e-Journal of Nondestructive Testing. 24(3). 1 indexed citations
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Zanini, Filippo, et al.. (2018). Particle based method and X-ray computed tomography for pore-scale flow characterization in VRFB electrodes. Energy storage materials. 16. 91–96. 41 indexed citations
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Affatato, Saverio, Filippo Zanini, & Simone Carmignato. (2017). Micro X-Ray Computed Tomography Mass Loss Assessment of Different UHMWPE: A Hip Joint Simulator Study on Standard vs. Cross-Linked Polyethylene. PLoS ONE. 12(1). e0170263–e0170263. 9 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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