M.C. Oliveira

3.3k total citations
145 papers, 2.6k citations indexed

About

M.C. Oliveira is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, M.C. Oliveira has authored 145 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Mechanics of Materials, 125 papers in Mechanical Engineering and 32 papers in Materials Chemistry. Recurrent topics in M.C. Oliveira's work include Metal Forming Simulation Techniques (117 papers), Metallurgy and Material Forming (99 papers) and Mechanical stress and fatigue analysis (18 papers). M.C. Oliveira is often cited by papers focused on Metal Forming Simulation Techniques (117 papers), Metallurgy and Material Forming (99 papers) and Mechanical stress and fatigue analysis (18 papers). M.C. Oliveira collaborates with scholars based in Portugal, France and Tunisia. M.C. Oliveira's co-authors include L.F. Menezes, J.L. Alves, J.V. Fernandes, D.M. Neto, Nataliya A. Sakharova, R. Padmanabhan, Jorge M. Antunes, Pedro Prates, Hervé Laurent and Pierre-Yves Manach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Journal of Materials Science.

In The Last Decade

M.C. Oliveira

138 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.C. Oliveira Portugal 27 2.1k 2.0k 756 389 329 145 2.6k
L.F. Menezes Portugal 28 2.4k 1.2× 2.4k 1.2× 903 1.2× 413 1.1× 438 1.3× 133 3.2k
Z. Cedric Xia United States 28 1.4k 0.7× 1.5k 0.7× 755 1.0× 301 0.8× 281 0.9× 90 2.3k
A.H. van den Boogaard Netherlands 32 2.7k 1.3× 2.3k 1.2× 832 1.1× 540 1.4× 395 1.2× 223 3.3k
Benjamin Klusemann Germany 31 2.3k 1.1× 1.0k 0.5× 1.0k 1.4× 183 0.5× 149 0.5× 181 3.2k
Sandrine Thuillier France 29 1.7k 0.8× 1.5k 0.8× 755 1.0× 151 0.4× 234 0.7× 114 2.2k
Wolfram Volk Germany 27 2.2k 1.1× 1.3k 0.6× 722 1.0× 373 1.0× 330 1.0× 319 2.9k
Yong‐Taek Im South Korea 28 2.1k 1.0× 1.8k 0.9× 1.1k 1.4× 156 0.4× 139 0.4× 151 2.6k
Kwansoo Chung South Korea 33 3.0k 1.4× 2.4k 1.2× 1.2k 1.6× 263 0.7× 202 0.6× 118 3.6k
Jean-Claude Gélin France 25 1.6k 0.8× 995 0.5× 416 0.6× 208 0.5× 357 1.1× 153 2.1k
John Goldak Canada 22 4.0k 1.9× 984 0.5× 614 0.8× 620 1.6× 155 0.5× 75 4.6k

Countries citing papers authored by M.C. Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Oliveira. 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 M.C. Oliveira. The network helps show where M.C. Oliveira may publish in the future.

Co-authorship network of co-authors of M.C. Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of M.C. Oliveira. A scholar is included among the top collaborators of M.C. Oliveira 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 M.C. Oliveira. M.C. Oliveira 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.
Oliveira, M.C., et al.. (2024). Sensitivity Analysis of the Square Cup Forming Process Using PAWN and Sobol Indices. Metals. 14(4). 432–432. 2 indexed citations
2.
Coër, J., et al.. (2023). A novel hydraulic bulge test in hot forming conditions. Journal of Materials Processing Technology. 316. 117917–117917. 6 indexed citations
3.
Khalfallah, Ali, et al.. (2022). Machine Learning for Predicting Fracture Strain in Sheet Metal Forming. Metals. 12(11). 1799–1799. 8 indexed citations
4.
Pereira, André F. G., M.C. Oliveira, J.V. Fernandes, & Pedro Prates. (2022). Variance-Based Sensitivity Analysis of the Biaxial Test on a Cruciform Specimen. Key engineering materials. 926. 2154–2161. 2 indexed citations
5.
Neto, D.M., M.C. Oliveira, J.L. Alves, & L.F. Menezes. (2021). Study on the influence of the strain rate sensitivity on the springback of the AA5086 alloy under warm forming conditions. IOP Conference Series Materials Science and Engineering. 1157(1). 12043–12043.
6.
7.
Prates, Pedro, et al.. (2020). Numerical Study on the Forming Behaviour of Multilayer Sheets. Metals. 10(6). 716–716. 2 indexed citations
8.
Oliveira, M.C., et al.. (2019). On the impact of modelling tension-compression asymmetry on earing and thickness predictions. Advances in Materials and Processing Technologies. 5(3). 445–460.
9.
Oliveira, M.C. & J.V. Fernandes. (2019). Modelling and Simulation of Sheet Metal Forming Processes. Metals. 9(12). 1356–1356. 11 indexed citations
10.
Neto, D.M., et al.. (2018). Study of the frictional contact conditions in the hole expansion test. Journal of Physics Conference Series. 1063. 12139–12139. 3 indexed citations
11.
Alves, J.L., et al.. (2017). Study on the effect of tension-compression asymmetry on the cylindrical cup forming of an AA2090-T3 alloy. International Journal of Solids and Structures. 151. 135–144. 15 indexed citations
12.
Neto, D.M., J.M.P. Martins, Paolo M. Cunha, et al.. (2017). Thermo-mechanical finite element analysis of the AA5086 alloy under warm forming conditions. International Journal of Solids and Structures. 151. 99–117. 20 indexed citations
13.
Oliveira, M.C., et al.. (2017). Numerical study of springback using the split-ring test: influence of the clearance between the die and the punch. International Journal of Material Forming. 11(2). 325–337. 9 indexed citations
14.
Prates, Pedro, M.C. Oliveira, & J.V. Fernandes. (2015). Identification of material parameters for thin sheets from single biaxial tensile test using a sequential inverse identification strategy. International Journal of Material Forming. 9(4). 547–571. 17 indexed citations
15.
Antunes, Jorge M., et al.. (2011). Numerical simulation study of the knoop indentation test. QRU Quaderns de Recerca en Urbanisme. 287–294. 1 indexed citations
16.
Oliveira, M.C., J.L. Alves, L.F. Menezes, & A. Ramalho. (2011). Finite Element Analysis of the Amontons-Coulomb’s Model using Local and Global Friction Tests. AIP conference proceedings. 1812–1817. 2 indexed citations
17.
Oliveira, M.C., et al.. (2010). Finite Element Analysis on the Influence of Material Mechanical Properties in Local Contact Conditions. International Journal of Material Forming. 3(S1). 139–142. 1 indexed citations
18.
Sakharova, Nataliya A., J.V. Fernandes, Jorge M. Antunes, & M.C. Oliveira. (2008). Comparison between Berkovich, Vickers and conical indentation tests: A three-dimensional numerical simulation study. International Journal of Solids and Structures. 46(5). 1095–1104. 189 indexed citations
19.
Antunes, Jorge M., J.V. Fernandes, Nataliya A. Sakharova, M.C. Oliveira, & L.F. Menezes. (2007). On the determination of the Young’s modulus of thin films using indentation tests. International Journal of Solids and Structures. 44(25-26). 8313–8334. 69 indexed citations
20.
Oliveira, M.C.. (2005). Study on the Influence of the Work Hardening Models Constitutive Parameters Identification in the Springback Prediction. AIP conference proceedings. 778. 253–258. 3 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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