S. Berretta

958 total citations
10 papers, 768 citations indexed

About

S. Berretta is a scholar working on Automotive Engineering, Mechanical Engineering and Polymers and Plastics. According to data from OpenAlex, S. Berretta has authored 10 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Automotive Engineering, 7 papers in Mechanical Engineering and 3 papers in Polymers and Plastics. Recurrent topics in S. Berretta's work include Additive Manufacturing and 3D Printing Technologies (10 papers), Injection Molding Process and Properties (6 papers) and Manufacturing Process and Optimization (3 papers). S. Berretta is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (10 papers), Injection Molding Process and Properties (6 papers) and Manufacturing Process and Optimization (3 papers). S. Berretta collaborates with scholars based in United Kingdom. S. Berretta's co-authors include Oana Ghita, K. Evans, Richard Davies, Y. T. Shyng, K. E. Evans, Binling Chen, Ken E. Evans, Yuan Wang, Bharat Singh and E. D. James and has published in prestigious journals such as Journal of Materials Science, Applied Surface Science and Materials & Design.

In The Last Decade

S. Berretta

10 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Berretta United Kingdom 10 619 342 309 132 124 10 768
Candice Majewski United Kingdom 15 529 0.9× 461 1.3× 181 0.6× 194 1.5× 83 0.7× 44 762
S. Garzon-Hernandez Spain 9 395 0.6× 245 0.7× 270 0.9× 118 0.9× 121 1.0× 11 690
Rodrigo A. Paggi Brazil 12 420 0.7× 260 0.8× 269 0.9× 136 1.0× 64 0.5× 15 602
Arvin Bagheri Saed Iran 10 431 0.7× 425 1.2× 261 0.8× 125 0.9× 49 0.4× 10 822
Hongzhi Wu China 14 381 0.6× 467 1.4× 409 1.3× 50 0.4× 152 1.2× 22 815
Abdul Manaf Abdullah Malaysia 12 509 0.8× 158 0.5× 401 1.3× 155 1.2× 71 0.6× 31 801
Dominik Rietzel Germany 9 686 1.1× 317 0.9× 368 1.2× 182 1.4× 82 0.7× 15 824
Leander Verbelen Belgium 10 500 0.8× 383 1.1× 233 0.8× 152 1.2× 96 0.8× 16 700
Changquan Shi China 7 471 0.8× 196 0.6× 325 1.1× 145 1.1× 53 0.4× 16 662

Countries citing papers authored by S. Berretta

Since Specialization
Citations

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

Fields of papers citing papers by S. Berretta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Berretta

This figure shows the co-authorship network connecting the top 25 collaborators of S. Berretta. A scholar is included among the top collaborators of S. Berretta 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 S. Berretta. S. Berretta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chen, Binling, S. Berretta, Richard Davies, & Oana Ghita. (2019). Characterisation of carbon fibre (Cf) - Poly Ether Ketone (PEK) composite powders for laser sintering. Polymer Testing. 76. 65–72. 11 indexed citations
2.
Chen, Binling, Yuan Wang, S. Berretta, & Oana Ghita. (2017). Poly Aryl Ether Ketones (PAEKs) and carbon-reinforced PAEK powders for laser sintering. Journal of Materials Science. 52(10). 6004–6019. 32 indexed citations
3.
Chen, Binling, et al.. (2017). A primary study into graphene/polyether ether ketone (PEEK) nanocomposite for laser sintering. Applied Surface Science. 428. 1018–1028. 73 indexed citations
4.
Berretta, S., K. Evans, & Oana Ghita. (2017). Additive manufacture of PEEK cranial implants: Manufacturing considerations versus accuracy and mechanical performance. Materials & Design. 139. 141–152. 88 indexed citations
5.
Berretta, S., et al.. (2017). Fused Deposition Modelling of high temperature polymers: Exploring CNT PEEK composites. Polymer Testing. 63. 251–262. 173 indexed citations
6.
Berretta, S., et al.. (2016). Polymer viscosity, particle coalescence and mechanical performance in high-temperature laser sintering. Journal of Materials Science. 51(10). 4778–4794. 69 indexed citations
7.
Berretta, S., K. E. Evans, & Oana Ghita. (2016). Predicting processing parameters in high temperature laser sintering (HT-LS) from powder properties. Materials & Design. 105. 301–314. 62 indexed citations
8.
Berretta, S., K. Evans, & Oana Ghita. (2015). Processability of PEEK, a new polymer for High Temperature Laser Sintering (HT-LS). European Polymer Journal. 68. 243–266. 110 indexed citations
9.
Ghita, Oana, E. D. James, Richard Davies, et al.. (2014). High Temperature Laser Sintering (HT-LS): An investigation into mechanical properties and shrinkage characteristics of Poly (Ether Ketone) (PEK) structures. Materials & Design (1980-2015). 61. 124–132. 41 indexed citations
10.
Berretta, S., Oana Ghita, & K. Evans. (2014). Morphology of polymeric powders in Laser Sintering (LS): From Polyamide to new PEEK powders. European Polymer Journal. 59. 218–229. 109 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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