M. Vaz

947 citations
66 papers · 746 · h-index 17

Impact in

Papers in

    • Metal Forming Simulation Techniques 20
    • Injection Molding Process and Properties 9
    • Heat Transfer Mechanisms 9
    • Metallurgy and Material Forming 19
    • Numerical methods in engineering 10

M. Vaz

62 papers receiving 718 citations

Peers

M. Vaz
Comparison fields: 5 of 62
  • Fluid Flow and Transfer Processes 84
  • Mechanics of Materials 310
  • Mechanical Engineering 446
  • Computational Mechanics 194
  • Civil and Structural Engineering 116
Replace Marcus Klein with:
Marcus Klein Germany
B. Ferret France
A. Poitou France
J. Chakrabarty Singapore
M. Koishi Japan
Mehdi Akhlaghi Iran
Sébastien Comas-Cardona France
Ronny Behnke Germany
U. Gamer Austria
M. Vaz relative to Marcus Klein Germany Marcus Klein's profile →
Citations per field
00.5×2.6×
Marcus Klein · 1×
Citations per year

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-authors

The 17 scholars most cited alongside M. Vaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Vaz Line = papers co-authored together M. Vaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200772
2 199953
3 199950
4 200050
5 201029
6 200928
7 201828
8 201326
9 200223
10 201121
11 201519
12 200919
13 201519
14 202219
15 201418
16 200518
17 200618
18 201415
19 201614
20 200013

About M. Vaz

M. Vaz is a scholar working on Mechanical Engineering, Mechanics of Materials, Computational Mechanics, Fluid Flow and Transfer Processes and Biomedical Engineering, having authored 66 papers that have together received 746 indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (20 papers), Metallurgy and Material Forming (19 papers), Rheology and Fluid Dynamics Studies (14 papers), Numerical methods in engineering (10 papers), Fluid Dynamics and Turbulent Flows (9 papers), Polymer Foaming and Composites (9 papers), Injection Molding Process and Properties (9 papers) and Heat Transfer Mechanisms (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (84 citations), Mechanics of Materials (310 citations), Mechanical Engineering (446 citations), Computational Mechanics (194 citations) and Civil and Structural Engineering (116 citations). M. Vaz has collaborated with scholars based in Brazil, United Kingdom and Sweden. Frequent co-authors include P. S. B. Zdanski, D. R. J. Owen, Eduardo Lenz Cardoso, D. Perić, G. Filippini, José Divo Bressan, Lars‐Erik Lindgren, Marco Antônio Luersen, F.M. Andrade Pires and Clóvis R. Maliska. Their work appears in journals such as Numerical Heat Transfer Part A Applications, International Communications in Heat and Mass Transfer, Continuum Mechanics and Thermodynamics, Journal of Materials Processing Technology and Numerical Heat Transfer Part B Fundamentals.

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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