Guido Tosello

2.7k total citations
189 papers, 1.9k citations indexed

About

Guido Tosello is a scholar working on Mechanical Engineering, Automotive Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Guido Tosello has authored 189 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Mechanical Engineering, 96 papers in Automotive Engineering and 76 papers in Industrial and Manufacturing Engineering. Recurrent topics in Guido Tosello's work include Additive Manufacturing and 3D Printing Technologies (95 papers), Injection Molding Process and Properties (94 papers) and Manufacturing Process and Optimization (69 papers). Guido Tosello is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (95 papers), Injection Molding Process and Properties (94 papers) and Manufacturing Process and Optimization (69 papers). Guido Tosello collaborates with scholars based in Denmark, Italy and United Kingdom. Guido Tosello's co-authors include Hans Nørgaard Hansen, David Bue Pedersen, Matteo Calaon, Ali Davoudinejad, Yang Zhang, Massimiliano Annoni, Jesper Henri Hattel, Stefan Dimov, Simone Carmignato and Steffen Scholz and has published in prestigious journals such as Journal of The Electrochemical Society, Sensors and Materials & Design.

In The Last Decade

Guido Tosello

178 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guido Tosello Denmark 26 1.2k 789 673 531 193 189 1.9k
Pio Iovenitti Australia 17 915 0.8× 880 1.1× 633 0.9× 424 0.8× 135 0.7× 55 1.8k
Jeng‐Ywan Jeng Taiwan 23 1.3k 1.1× 1.1k 1.4× 480 0.7× 211 0.4× 176 0.9× 77 2.0k
Yi Xiong China 27 1.1k 0.9× 1.1k 1.4× 398 0.6× 527 1.0× 130 0.7× 129 2.2k
Pedram Parandoush United States 12 660 0.5× 1.2k 1.5× 586 0.9× 415 0.8× 123 0.6× 16 1.7k
Ahmed Jawad Qureshi Canada 24 843 0.7× 840 1.1× 339 0.5× 579 1.1× 69 0.4× 106 1.7k
Zhizhou Zhang United States 15 731 0.6× 752 1.0× 381 0.6× 319 0.6× 88 0.5× 33 1.4k
Nikolaos M. Vaxevanidis Greece 26 1.4k 1.1× 682 0.9× 590 0.9× 538 1.0× 558 2.9× 106 2.1k
Matteo Strano Italy 27 1.3k 1.1× 589 0.7× 353 0.5× 221 0.4× 124 0.6× 102 1.7k
Tamara Reinicke Germany 21 630 0.5× 1.0k 1.3× 479 0.7× 393 0.7× 102 0.5× 52 1.6k
Wilma Polini Italy 26 1.2k 1.0× 580 0.7× 270 0.4× 906 1.7× 168 0.9× 161 2.1k

Countries citing papers authored by Guido Tosello

Since Specialization
Citations

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

Fields of papers citing papers by Guido Tosello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Tosello

This figure shows the co-authorship network connecting the top 25 collaborators of Guido Tosello. A scholar is included among the top collaborators of Guido Tosello 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 Guido Tosello. Guido Tosello 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.
Pagone, Emanuele, et al.. (2025). Intelligent manufacturing paradigms: linking design optimization and sustainability in large-area additive manufacturing. The International Journal of Advanced Manufacturing Technology. 1 indexed citations
2.
Ituarte, Iñigo Flores, et al.. (2025). Enabling sustainability-by-design with multi-disciplinary computer aided systems. CIRP Annals. 74(1). 209–213. 1 indexed citations
3.
Parenti, Paolo, et al.. (2024). Performance evaluation of polymer-filled metal fused filament fabrication tooling for profile extrusion. The International Journal of Advanced Manufacturing Technology. 132(7-8). 3363–3378. 4 indexed citations
4.
Yagüe‐Fabra, José A., et al.. (2023). Parallel Walking-Worker Flexible Assembly Lines for High-Mix Low-Volume Demand. Processes. 11(1). 172–172. 1 indexed citations
5.
Calaon, Matteo, et al.. (2023). Application of Machine Learning for Prediction and Process Optimization—Case Study of Blush Defect in Plastic Injection Molding. Applied Sciences. 13(4). 2617–2617. 10 indexed citations
6.
Sampath, Vignesh, Marvin Carl May, Juan José Aguilar Martín, et al.. (2023). Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’. Applied Sciences. 13(3). 1903–1903. 40 indexed citations
7.
Bruus, Henrik, et al.. (2023). Impact of Injection Molding Parameters on Material Acoustic Parameters. Journal of Manufacturing and Materials Processing. 7(6). 222–222.
8.
Nestler, Klaus, Guido Tosello, Matteo Calaon, et al.. (2022). Effective polishing of inner surfaces of additive manufactured inserts for polymer extrusion using Plasma Electrolytic Polishing. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
9.
10.
Calaon, Matteo, et al.. (2020). Pressure Driven Filling in the Injection Molding Process of Micro Structured Parts. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
11.
Tosello, Guido, et al.. (2020). Moulded pulp products manufacturing with thermoforming. Packaging Technology and Science. 34(1). 71–73. 4 indexed citations
12.
Tosello, Guido, et al.. (2019). Comparison of Selective Laser Melting Post-Processes based on Amplitude and Functional Surface Roughness parameters. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
13.
Baier, Sina, et al.. (2019). Internal fiber structure of a high-performing, additively manufactured injection molding insert. AIP conference proceedings. 2068. 30054–30054. 2 indexed citations
14.
Zhang, Yang, et al.. (2018). A Soft Tooling Process Chain for Injection Molding of a 3D Component with Micro Pillars. Journal of Visualized Experiments. 6 indexed citations
15.
Liparoti, Sara, Matteo Calaon, Vito Speranza, et al.. (2017). Effects of fast mold temperature evolution on micro features replication quality during injection molding. AIP conference proceedings. 1914. 140007–140007. 2 indexed citations
16.
Calaon, Matteo, et al.. (2013). A capability study of micro moulding for nano fluidic system manufacture. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
17.
Calaon, Matteo, et al.. (2013). Influence of process parameters on edge replication quality of lab-on-a-chip micro fluidic systems geometries. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
18.
Fantoni, Gualtiero, Guido Tosello, Donata Gabelloni, & Hans Nørgaard Hansen. (2012). Modelling injection moulding machines for micro manufacture applications through functional analysis. Procedia CIRP. 2. 107–112. 6 indexed citations
19.
Hansen, Hans Nørgaard, et al.. (2011). Traceable surface characterization using replica moulding technology. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 3 indexed citations
20.
Dimov, Stefan, et al.. (2011). Cavity pressure behaviour in micro-injection moulding. Journal of Manufacturing Science and Engineering. 133(3). 1 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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