Journal of the Brazilian Society of Mechanical Sciences and Engineering Template
Write in a clean editor, then format for Journal of the Brazilian Society of Mechanical Sciences and Engineering in one click — DocuGuru applies the official Springer Nature template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Journal of the Brazilian Society of Mechanical Sciences and Engineering format
Journal of the Brazilian Society of Mechanical Sciences and Engineering is a peer-reviewed journal published by Springer Nature, covering Advanced machining processes and optimization, Advanced Machining and Optimization Techniques, Advanced Surface Polishing Techniques.
| Publisher | Springer Nature |
|---|---|
| Reference style | Numbered (Springer Basic) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C (2023) A representative article title. Journal of the Brazilian Society of Mechanical Sciences and Engineering 12:45–58
Formats any DOI in Journal of the Brazilian Society of Mechanical Sciences and Engineering style. No sign-up. |
| Publishes research in | Advanced machining processes and optimization Advanced Machining and Optimization Techniques Advanced Surface Polishing Techniques Fluid Dynamics and Turbulent Flows Nanofluid Flow and Heat Transfer |
| ISSN | 1678-5878 |
| Citation impact (2-yr) | 2.79 |
| h-index | 72 |
| i10-index | 2,493 |
| Total citations | 77,507 |
| Article processing charge | $3,090 |
| Top institutions publishing here | Universidade de São Paulo |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of the Brazilian Society of Mechanical Sciences and Engineering per year
Citation impact of Journal of the Brazilian Society of Mechanical Sciences and Engineering by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Journal of the Brazilian Society of Mechanical Sciences and Engineering
This paper presents a "fast and simple" (FAS) detection algorithm based on the digital image correlation for measurement of the surface deformation of planar objects. The proposed algorithm uses only fine search at the pixel level resolution and surface fitting for sub-pixel level. Two different specimens are investigated to explore the feasibility of this proposed…