Giovanni Lucchetta

2.3k total citations
121 papers, 1.8k citations indexed

About

Giovanni Lucchetta is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Giovanni Lucchetta has authored 121 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Mechanical Engineering, 38 papers in Biomedical Engineering and 37 papers in Automotive Engineering. Recurrent topics in Giovanni Lucchetta's work include Injection Molding Process and Properties (75 papers), Advanced machining processes and optimization (40 papers) and Additive Manufacturing and 3D Printing Technologies (37 papers). Giovanni Lucchetta is often cited by papers focused on Injection Molding Process and Properties (75 papers), Advanced machining processes and optimization (40 papers) and Additive Manufacturing and 3D Printing Technologies (37 papers). Giovanni Lucchetta collaborates with scholars based in Italy, United States and United Kingdom. Giovanni Lucchetta's co-authors include Marco Sorgato, Davide Masato, P.F. Bariani, Simone Carmignato, Francesco Marinello, Enrico Savio, Andrea Ghiotti, Hans Nørgaard Hansen, Ben Whiteside and Paolo Parenti and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and ACS Applied Materials & Interfaces.

In The Last Decade

Giovanni Lucchetta

115 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Lucchetta Italy 24 1.3k 543 504 404 268 121 1.8k
Jeng‐Ywan Jeng Taiwan 23 1.3k 1.0× 1.1k 2.0× 480 1.0× 133 0.3× 150 0.6× 77 2.0k
Ajit Panesar United Kingdom 14 1.2k 0.9× 910 1.7× 337 0.7× 317 0.8× 138 0.5× 32 1.9k
Matteo Strano Italy 27 1.3k 1.0× 589 1.1× 353 0.7× 434 1.1× 65 0.2× 102 1.7k
Harlal Singh Mali India 25 1.2k 0.9× 350 0.6× 821 1.6× 422 1.0× 315 1.2× 118 1.8k
Hongya Fu China 20 720 0.6× 259 0.5× 737 1.5× 270 0.7× 80 0.3× 94 1.8k
Aamer Nazir Taiwan 20 1.1k 0.9× 969 1.8× 446 0.9× 142 0.4× 118 0.4× 51 1.8k
Miao Zhao China 25 1.9k 1.5× 970 1.8× 721 1.4× 237 0.6× 117 0.4× 66 2.4k
Adedeji Aremu United Kingdom 15 2.2k 1.7× 1.6k 2.9× 719 1.4× 298 0.7× 211 0.8× 19 2.8k
Jiawei Feng China 17 967 0.7× 460 0.8× 385 0.8× 135 0.3× 78 0.3× 34 1.5k
Reza Rowshan United Arab Emirates 21 2.3k 1.7× 1.2k 2.2× 963 1.9× 306 0.8× 154 0.6× 28 3.1k

Countries citing papers authored by Giovanni Lucchetta

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Lucchetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Lucchetta

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Lucchetta. A scholar is included among the top collaborators of Giovanni Lucchetta 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 Giovanni Lucchetta. Giovanni Lucchetta 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.
Lucchetta, Giovanni, et al.. (2025). Soft-sensors to drive manufacturing toward clean production: LCA based on Digital Twin. Journal of Cleaner Production. 498. 145192–145192. 5 indexed citations
2.
Lucchetta, Giovanni, et al.. (2025). Enhancing weld line strength in fiber-reinforced recycled polypropylene through gas-assisted push-pull injection molding. Composites Part A Applied Science and Manufacturing. 199. 109174–109174.
3.
Sorgato, Marco, et al.. (2025). Optimizing two-photon polymerization for rapid and high-resolution prototyping of low-friction microtextured surfaces. Progress in Additive Manufacturing. 10(9). 5977–5992.
4.
Orazi, Leonardo, et al.. (2024). An innovative process chain for the production of antibiofouling polymer parts using ultrafast laser texturing. The International Journal of Advanced Manufacturing Technology. 1 indexed citations
5.
6.
Sorgato, Marco, et al.. (2024). Enhancing weld line visibility prediction in injection molding using physics-informed neural networks. Journal of Intelligent Manufacturing. 36(6). 4305–4318. 5 indexed citations
7.
Messina, Grazia M. L., Giovanna Iucci, Chiara Battocchio, et al.. (2024). Polyetheretherketone Double Functionalization with Bioactive Peptides Improves Human Osteoblast Response. Biomimetics. 9(12). 767–767. 3 indexed citations
8.
Sorgato, Marco, et al.. (2024). A penetration efficiency model for the optimization of solid conical microneedles’ geometry. Journal of Micromechanics and Microengineering. 34(2). 25009–25009. 7 indexed citations
9.
Sorgato, Marco, et al.. (2024). Transfer Learning-Based Artificial Neural Network for Predicting Weld Line Occurrence through Process Simulations and Molding Trials. Journal of Manufacturing and Materials Processing. 8(3). 98–98. 1 indexed citations
10.
Sorgato, Marco, et al.. (2024). Enhancing properties and manufacturability of post-consumer recycled polypropylene via gas counter-pressure injection molding. Sustainable materials and technologies. 40. e00897–e00897. 2 indexed citations
11.
Sorgato, Marco, et al.. (2023). Digital twins for the rapid startup of manufacturing processes: a case study in PVC tube extrusion. The International Journal of Advanced Manufacturing Technology. 127(11-12). 5517–5529. 3 indexed citations
12.
Lucchetta, Giovanni, et al.. (2023). Cohesive Zone Modeling of the Interface Fracture in Full-Thermoplastic Hybrid Composites for Lightweight Application. Polymers. 15(22). 4459–4459. 7 indexed citations
13.
Mackey, Lauren Grace, et al.. (2023). Wetting Characteristics of Laser-Ablated Hierarchical Textures Replicated by Micro Injection Molding. Micromachines. 14(4). 863–863. 10 indexed citations
14.
Lucchetta, Giovanni, et al.. (2022). Data-driven development of a soft sensor for the flow rate monitoring in polyvinyl chloride tube extrusion affected by wall slip. The International Journal of Advanced Manufacturing Technology. 122(5-6). 2379–2390. 7 indexed citations
15.
16.
Surace, Rossella, et al.. (2019). Effect of cavity surface roughness and wettability on the filling flow in micro injection molding. Journal of Manufacturing Processes. 43. 105–111. 32 indexed citations
17.
Sorgato, Marco, et al.. (2018). Experimental analysis of mechanical properties and microstructure of long glass fiber reinforced polypropylene processed by rapid heat cycle injection molding. Composites Part A Applied Science and Manufacturing. 107. 366–373. 22 indexed citations
18.
Masato, Davide, Marco Sorgato, Paolo Parenti, Massimiliano Annoni, & Giovanni Lucchetta. (2016). Impact of Micro Milling Strategy on the Demolding Forces in Micro Injection Molding. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 167–170. 1 indexed citations
19.
Lucchetta, Giovanni, et al.. (2014). Acetaldehyde Generation in Processing PET by Means of Hot Runner Systems. Key engineering materials. 611-612. 922–927. 1 indexed citations
20.
Miola, Marta, et al.. (2014). Antibiotic-free composite bone cements with antibacterial and bioactive properties. A preliminary study. Materials Science and Engineering C. 43. 65–75. 42 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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