Giulio Masinelli

1.1k total citations
23 papers, 826 citations indexed

About

Giulio Masinelli is a scholar working on Mechanical Engineering, Automotive Engineering and Mechanics of Materials. According to data from OpenAlex, Giulio Masinelli has authored 23 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Mechanical Engineering, 5 papers in Automotive Engineering and 4 papers in Mechanics of Materials. Recurrent topics in Giulio Masinelli's work include Additive Manufacturing Materials and Processes (17 papers), Welding Techniques and Residual Stresses (15 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). Giulio Masinelli is often cited by papers focused on Additive Manufacturing Materials and Processes (17 papers), Welding Techniques and Residual Stresses (15 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). Giulio Masinelli collaborates with scholars based in Switzerland, Finland and France. Giulio Masinelli's co-authors include Kilian Wasmer, Sergey Shevchik, Roland E. Logé, Vigneashwara Pandiyan, Tri Le‐Quang, Christian Leinenbach, Christoph Kenel, Charlotte de Formanoir, Bastian Meylan and Annapaola Parrilli and has published in prestigious journals such as Nature Communications, Scientific Reports and IEEE Access.

In The Last Decade

Giulio Masinelli

21 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulio Masinelli Switzerland 13 700 283 196 137 133 23 826
Tri Le‐Quang Switzerland 11 585 0.8× 220 0.8× 162 0.8× 94 0.7× 109 0.8× 14 681
Dongsen Ye China 9 800 1.1× 505 1.8× 347 1.8× 102 0.7× 84 0.6× 10 918
Jonàs Martínez France 15 337 0.5× 359 1.3× 151 0.8× 127 0.9× 87 0.7× 33 878
Aniruddha Gaikwad United States 13 660 0.9× 466 1.6× 295 1.5× 110 0.8× 56 0.4× 17 838
Susana Martínez-Pellitero Spain 15 512 0.7× 176 0.6× 150 0.8× 104 0.8× 55 0.4× 45 671
A. Donmez United States 12 554 0.8× 274 1.0× 152 0.8× 110 0.8× 41 0.3× 20 699
Stanisław Adamczak Poland 18 536 0.8× 102 0.4× 139 0.7× 116 0.8× 80 0.6× 99 666
Anthony Garland United States 11 426 0.6× 223 0.8× 82 0.4× 134 1.0× 71 0.5× 35 629
Yingjie Zhang China 12 348 0.5× 191 0.7× 133 0.7× 49 0.4× 49 0.4× 39 463
Huang Gao China 15 413 0.6× 88 0.3× 168 0.9× 93 0.7× 60 0.5× 20 567

Countries citing papers authored by Giulio Masinelli

Since Specialization
Citations

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

Fields of papers citing papers by Giulio Masinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulio Masinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Giulio Masinelli. A scholar is included among the top collaborators of Giulio Masinelli 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 Giulio Masinelli. Giulio Masinelli 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.
Masinelli, Giulio, Kilian Wasmer, Toni Ivas, et al.. (2025). Autonomous exploration of the PBF-LB parameter space: An uncertainty-driven algorithm for automated processing map generation. Additive manufacturing. 101. 104677–104677. 1 indexed citations
2.
Nasab, Milad Hamidi, Giulio Masinelli, Éric Boillat, et al.. (2025). Fast and accurate laser powder bed fusion metamodels predicting melt pool dimensions, effective laser absorptivity and lack of fusion defects. Journal of Manufacturing Processes. 141. 1337–1353.
3.
Masinelli, Giulio, et al.. (2025). Reinforcement Learning on Reconfigurable Hardware: Overcoming Material Variability in Laser Material Processing. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)). 16737–16743.
4.
Masinelli, Giulio, et al.. (2023). Acoustic emission for the prediction of processing regimes in Laser Powder Bed Fusion, and the generation of processing maps. Additive manufacturing. 67. 103484–103484. 29 indexed citations
5.
Nasab, Milad Hamidi, Giulio Masinelli, Charlotte de Formanoir, et al.. (2023). Harmonizing sound and light: X-ray imaging unveils acoustic signatures of stochastic inter-regime instabilities during laser melting. Nature Communications. 14(1). 8008–8008. 30 indexed citations
6.
7.
Formanoir, Charlotte de, Milad Hamidi Nasab, S. Van Petegem, et al.. (2023). Healing of keyhole porosity by means of defocused laser beam remelting: Operando observation by X-ray imaging and acoustic emission-based detection. Additive manufacturing. 79. 103880–103880. 19 indexed citations
8.
Pandiyan, Vigneashwara, Giulio Masinelli, Tri Le‐Quang, et al.. (2022). Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance. Additive manufacturing. 58. 103007–103007. 62 indexed citations
9.
Pandiyan, Vigneashwara, et al.. (2022). Monitoring of Direct Energy Deposition Process Using Manifold Learning and Co-Axial Melt Pool Imaging. Manufacturing Letters. 33. 776–785. 4 indexed citations
10.
Meylan, Bastian, et al.. (2022). Smart closed-loop control of laser welding using reinforcement learning. Procedia CIRP. 111. 479–483. 8 indexed citations
11.
Masinelli, Giulio, Tri Le‐Quang, Milad Hamidi Nasab, et al.. (2022). Deep Learning-Based Monitoring of Laser Powder Bed Fusion Process on Variable Time-Scales Using Heterogeneous Sensing and Operando X-Ray Radiography Guidance. SSRN Electronic Journal. 5 indexed citations
12.
Pandiyan, Vigneashwara, Roland E. Logé, Sergey Shevchik, et al.. (2022). Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning. Virtual and Physical Prototyping. 17(2). 181–204. 80 indexed citations
13.
Pandiyan, Vigneashwara, Sergey Shevchik, Giulio Masinelli, et al.. (2022). Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process. Journal of Materials Processing Technology. 303. 117531–117531. 94 indexed citations
14.
Pandiyan, Vigneashwara, Sergey Shevchik, Giulio Masinelli, et al.. (2021). Semi-supervised Monitoring of Laser powder bed fusion process based on acoustic emissions. Virtual and Physical Prototyping. 16(4). 481–497. 73 indexed citations
15.
Masinelli, Giulio, et al.. (2021). SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices. Sensors. 21(8). 2725–2725. 7 indexed citations
16.
Shevchik, Sergey, Tri Le‐Quang, Bastian Meylan, et al.. (2020). Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance. Scientific Reports. 10(1). 3389–3389. 97 indexed citations
17.
Pandiyan, Vigneashwara, et al.. (2020). Analysis of time, frequency and time-frequency domain features from acoustic emissions during Laser Powder-Bed fusion process. Procedia CIRP. 94. 392–397. 61 indexed citations
18.
Masinelli, Giulio, et al.. (2020). Adaptive Laser Welding Control: A Reinforcement Learning Approach. IEEE Access. 8. 103803–103814. 47 indexed citations
19.
Masinelli, Giulio, et al.. (2020). Self-Aware Machine Learning for Multimodal Workload Monitoring during Manual Labor on Edge Wearable Sensors. IEEE Design and Test. 37(5). 58–66. 14 indexed citations
20.
Shevchik, Sergey, Giulio Masinelli, Christoph Kenel, Christian Leinenbach, & Kilian Wasmer. (2019). Deep Learning for In Situ and Real-Time Quality Monitoring in Additive Manufacturing Using Acoustic Emission. IEEE Transactions on Industrial Informatics. 15(9). 5194–5203. 157 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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