M. Vaz

947 total citations
66 papers, 746 citations indexed

About

M. Vaz is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, M. Vaz has authored 66 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Mechanical Engineering, 30 papers in Mechanics of Materials and 22 papers in Computational Mechanics. Recurrent topics in M. Vaz's work include Metal Forming Simulation Techniques (20 papers), Metallurgy and Material Forming (19 papers) and Rheology and Fluid Dynamics Studies (14 papers). M. Vaz is often cited by papers focused on Metal Forming Simulation Techniques (20 papers), Metallurgy and Material Forming (19 papers) and Rheology and Fluid Dynamics Studies (14 papers). M. Vaz collaborates with scholars based in Brazil, United Kingdom and Sweden. M. Vaz's co-authors include P. S. B. Zdanski, D. R. J. Owen, Eduardo Lenz Cardoso, D. Perić, G. Filippini, Lars‐Erik Lindgren, José Divo Bressan, Marco Antônio Luersen, Clóvis R. Maliska and F.M. Andrade Pires and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

M. Vaz

62 papers receiving 718 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. Vaz Brazil 17 446 310 194 194 122 66 746
Marcus Klein Germany 12 469 1.1× 332 1.1× 75 0.4× 63 0.3× 126 1.0× 61 751
A. Poitou France 13 264 0.6× 370 1.2× 145 0.7× 53 0.3× 53 0.4× 30 688
M. Koishi Japan 11 202 0.5× 323 1.0× 91 0.5× 114 0.6× 97 0.8× 18 588
J. Chakrabarty Singapore 4 412 0.9× 526 1.7× 59 0.3× 98 0.5× 173 1.4× 5 778
Mehdi Akhlaghi Iran 16 316 0.7× 496 1.6× 80 0.4× 63 0.3× 90 0.7× 27 707
B. Ferret France 10 407 0.9× 239 0.8× 224 1.2× 189 1.0× 35 0.3× 11 768
Guillermo J. Creus Brazil 13 161 0.4× 356 1.1× 58 0.3× 74 0.4× 62 0.5× 39 565
Miroslav Halilovič Slovenia 15 384 0.9× 313 1.0× 82 0.4× 83 0.4× 146 1.2× 49 568
Hessameddin Yaghoobi Iran 22 448 1.0× 714 2.3× 140 0.7× 273 1.4× 228 1.9× 49 1.3k
Humberto Breves Coda Brazil 22 172 0.4× 875 2.8× 171 0.9× 175 0.9× 78 0.6× 101 1.3k

Countries citing papers authored by M. Vaz

Since Specialization
Citations

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

Fields of papers citing papers by M. Vaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Vaz

This figure shows the co-authorship network connecting the top 25 collaborators of M. Vaz. A scholar is included among the top collaborators of M. Vaz 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. Vaz. M. Vaz 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.
Vaz, M., et al.. (2024). A methodology for determination the inlet velocity in injection molding simulations. Polímeros. 34(1). 1 indexed citations
2.
Zdanski, P. S. B., et al.. (2021). Application of Population-Based Techniques to Identification of Diffusive and Convective Parameters in Timber Drying. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 412. 163–176.
3.
Zdanski, P. S. B., et al.. (2021). Considerations on alternative solutions for stress analysis of anisotropic materials: a beam case study. Continuum Mechanics and Thermodynamics. 33(5). 2123–2140. 2 indexed citations
4.
Zdanski, P. S. B., et al.. (2021). Identification of heat and mass transfer parameters in timber drying based on hybrid optimisation techniques. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 43(9). 2 indexed citations
5.
Vaz, M., et al.. (2020). A numerical methodology for simulation of non-Newtonian viscoelastic flows. Numerical Heat Transfer Part B Fundamentals. 78(6). 439–453. 3 indexed citations
6.
Vaz, M., et al.. (2020). Aspects of ductile failure prediction of interstitial‐free steel based on a Gurson‐type damage model. Materialwissenschaft und Werkstofftechnik. 51(5). 558–568. 1 indexed citations
7.
Zdanski, P. S. B., et al.. (2018). Conjugate heat transfer in channels with heat-conducting inclined fins. Numerical Heat Transfer Part A Applications. 73(2). 75–93. 4 indexed citations
8.
Vaz, M., et al.. (2016). Thermo-mechanical coupling strategies in elastic–plastic problems. Continuum Mechanics and Thermodynamics. 29(2). 373–383. 3 indexed citations
9.
Vaz, M., et al.. (2016). Identification of inelastic parameters based on deep drawing forming operations using a global–local hybrid Particle Swarm approach. Comptes Rendus Mécanique. 344(4-5). 319–334. 8 indexed citations
10.
Vaz, M. & F.M. Andrade Pires. (2015). A note on the thermal effects upon a Gurson-type material model. Continuum Mechanics and Thermodynamics. 28(3). 785–798. 9 indexed citations
11.
12.
Vaz, M., et al.. (2013). A benchmark study on identification of inelastic parameters based on deep drawing processes using pso – nelder mead hybrid approach. UPCommons institutional repository (Universitat Politècnica de Catalunya). 153–163. 3 indexed citations
13.
Vaz, M., et al.. (2013). Conjugated Heat and Mass Transfer in Convective Drying in Compact Wood Kilns: A System Approach. Advances in Mechanical Engineering. 5. 5 indexed citations
14.
Vaz, M., et al.. (2011). Influence of the material hardening model on the simulation results for the equal channel angular extrusion – ecae – process. QRU Quaderns de Recerca en Urbanisme. 251–262. 1 indexed citations
15.
Vaz, M., et al.. (2009). Numerical Prediction of Ductile Failure Onset under Tensile and Compressive Stress States. International Journal of Damage Mechanics. 19(2). 175–195. 8 indexed citations
16.
Zdanski, P. S. B., et al.. (2008). A finite volume approach to simulation of polymer melt flow in channels. Engineering Computations. 25(3). 233–250. 6 indexed citations
17.
Zdanski, P. S. B., et al.. (2008). POLYMER MELT FLOW IN SUDDEN EXPANSIONS: THE EFFECTS OF VISCOUS HEATING. Revista de Engenharia Térmica. 7(1). 65–65. 3 indexed citations
18.
Vaz, M., et al.. (2007). Flux Evaluation in Anisotropic Heat Conduction Using the Modified Local Green’s Function Method (MLGFM): Comparative Studies. Materials science forum. 553. 100–105. 1 indexed citations
19.
Vaz, M. & José Divo Bressan. (2002). A computational approach to blanking processes. Journal of Materials Processing Technology. 125-126. 206–212. 23 indexed citations
20.
Perić, D., M. Vaz, & D. R. J. Owen. (1999). On adaptive strategies for large deformations of elasto-plastic solids at finite strains: computational issues and industrial applications. Computer Methods in Applied Mechanics and Engineering. 176(1-4). 279–312. 50 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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