Fábio Pinto da Silva

486 total citations
39 papers, 345 citations indexed

About

Fábio Pinto da Silva is a scholar working on Geology, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fábio Pinto da Silva has authored 39 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Geology, 7 papers in Automotive Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fábio Pinto da Silva's work include 3D Surveying and Cultural Heritage (12 papers), Additive Manufacturing and 3D Printing Technologies (6 papers) and Augmented Reality Applications (4 papers). Fábio Pinto da Silva is often cited by papers focused on 3D Surveying and Cultural Heritage (12 papers), Additive Manufacturing and 3D Printing Technologies (6 papers) and Augmented Reality Applications (4 papers). Fábio Pinto da Silva collaborates with scholars based in Brazil, Croatia and Portugal. Fábio Pinto da Silva's co-authors include Ney Francisco Ferreira, Patric Daniel Neis, Lírio Schaeffer, Wilson Kindlein, Sara P. Magalhães da Silva, José M. Oliveira, Felipe Luís Palombini, Jorge Ernesto de Araújo Mariath, César Leandro Schultz and Thomas Clarke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Wear and Rapid Prototyping Journal.

In The Last Decade

Fábio Pinto da Silva

30 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fábio Pinto da Silva Brazil 8 172 158 103 47 45 39 345
Nicolae Bâlc Romania 10 204 1.2× 245 1.6× 138 1.3× 36 0.8× 80 1.8× 64 445
A.C.W. Lau United States 7 176 1.0× 106 0.7× 195 1.9× 17 0.4× 63 1.4× 24 385
Amba D. Bhatt India 11 99 0.6× 153 1.0× 74 0.7× 33 0.7× 71 1.6× 24 388
Z. Shaghayegh Bagheri Canada 9 256 1.5× 184 1.2× 201 2.0× 45 1.0× 64 1.4× 19 464
Damian Gogolewski Poland 10 204 1.2× 192 1.2× 68 0.7× 11 0.2× 111 2.5× 30 335
Xubin Su China 11 423 2.5× 500 3.2× 115 1.1× 62 1.3× 135 3.0× 13 640
Tünde Anna Kovács Hungary 9 94 0.5× 188 1.2× 76 0.7× 93 2.0× 19 0.4× 70 299
Łukasz Przeszłowski Poland 15 271 1.6× 232 1.5× 123 1.2× 13 0.3× 174 3.9× 43 493
Dalia Mahmoud Canada 7 351 2.0× 501 3.2× 197 1.9× 83 1.8× 78 1.7× 15 652
Ognjan Lužanin Serbia 11 104 0.6× 101 0.6× 164 1.6× 18 0.4× 55 1.2× 19 422

Countries citing papers authored by Fábio Pinto da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Pinto da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio Pinto da Silva. 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 Fábio Pinto da Silva. The network helps show where Fábio Pinto da Silva may publish in the future.

Co-authorship network of co-authors of Fábio Pinto da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Pinto da Silva. A scholar is included among the top collaborators of Fábio Pinto da Silva 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 Fábio Pinto da Silva. Fábio Pinto da Silva 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.
Silva, Fábio Pinto da, et al.. (2024). Analysis of the influence of printing parameters on the compression resistance of PLA in the FDM process. Rapid Prototyping Journal. 31(1). 145–156. 4 indexed citations
2.
Silva, Fábio Pinto da, et al.. (2023). MORPHOLOGICAL, CHEMICAL, AND THERMAL CHARACTERIZATION OF TOBACCO STALK FOR APPLICATION IN COMPOSITE MATERIALS. Engineering and Technology Journal. 8(5). 2 indexed citations
3.
Silva, Fábio Pinto da, et al.. (2023). MORPHOLOGICAL, CHEMICAL, AND THERMAL CHARACTERIZATION OF TOBACCO STALK FOR APPLICATION IN COMPOSITE MATERIALS. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Silva, Fábio Pinto da, et al.. (2022). Geometric analysis of the MDF kerf-bending structure accuracy. International Journal of Space Structures. 37(2). 135–149. 1 indexed citations
5.
Lima, Milton Sérgio Fernandes de, et al.. (2022). Fatigue Performance of Laser Welds in Heavy-Gage Press Hardening Steels. Metals. 12(4). 580–580. 3 indexed citations
6.
Silva, Fábio Pinto da, et al.. (2021). Bending techniques for flat materials using cut patterns: a review. Global Journal of Engineering and Technology Advances. 7(2). 91–102. 4 indexed citations
7.
Silva, Fábio Pinto da, et al.. (2020). Desenvolvimento e avaliação de réplicas em resinas de bens do patrimônio cultural com uso de digitalização 3D e fabricação digital. Gestão & Tecnologia de Projetos. 15(1). 42–53. 1 indexed citations
9.
Silva, Fábio Pinto da, et al.. (2019). Ferramentas de digitalização 3D faça-você-mesmo na preservação do patrimônio cultural. SHILAP Revista de lepidopterología. 435–448.
10.
Silva, Fábio Pinto da, et al.. (2019). Effects of different coating materials on three-dimensional optical scanning accuracy. Advances in Mechanical Engineering. 11(4). 9 indexed citations
11.
Silva, Fábio Pinto da, et al.. (2018). Design, tecnologia e patrimônio: digitalização tridimensional como ferramenta de preservação de elementos de prédios históricos. Gestão & Tecnologia de Projetos. 13(2). 53–53. 2 indexed citations
12.
Silva, Fábio Pinto da, et al.. (2018). Analysis of the influence of polylactic acid (PLA) colour on FDM 3D printing temperature and part finishing. Rapid Prototyping Journal. 24(8). 1305–1316. 44 indexed citations
13.
Palombini, Felipe Luís, et al.. (2017). Design, biônica e novos paradigmas: uso de tecnologias 3D para análise e caracterização aplicadas em anatomia vegetal. SHILAP Revista de lepidopterología. 7(13). 46–46. 3 indexed citations
14.
Silva, Fábio Pinto da, et al.. (2016). Bolsas coletoras utilizadas por portadores de estoma: uma análise tridimensional. SHILAP Revista de lepidopterología. 6(11). 1–1. 4 indexed citations
15.
Silva, Fábio Pinto da, et al.. (2016). Protótipo de dispositivo facilitador para digitalização 3D por fotogrametria com smartphones. Lume (Universidade Federal do Rio Grande do Sul). 310–317.
16.
Silva, Fábio Pinto da, et al.. (2015). A Texturização de Produtos Poliméricos e sua Dependência com a Seleção de Materiais e os Processos de Fabricação. 8(1). 1 indexed citations
17.
Silva, Fábio Pinto da, et al.. (2014). PROPOSTA DE DESENVOLVIMENTO DE EMPUNHADURA PERSONALIZADA PARA USUÁRIOS COM MAL DE PARKINSON. 2387–2399. 1 indexed citations
18.
Silva, Fábio Pinto da, et al.. (2013). Tecnologias Tridimensionais para Acessibilidade em Museus. 444–448. 3 indexed citations
19.
Silva, Fábio Pinto da. (2011). Design and milling manufacture of polyurethane custom contoured cushions for wheelchair users. Australasian Medical Journal. 4(9). 500–506. 9 indexed citations
20.
Silva, Fábio Pinto da, et al.. (2008). Design and health care: a study of virtual design and direct metal laser sintering of titanium alloy for the production of customized facial implants. Australasian Medical Journal. 136–141. 5 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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