Periodica Polytechnica Mechanical Engineering
Published by Budapest University of Technology and Economics
ISSN : 0324-6051 eISSN : 1587-379X
Abbreviation : Period. Polytech. Mech. Eng.
Aims & Scope
Periodica Polytechnica is a publisher of the Budapest University of Technology and Economics.
It publishes seven international journals (Architecture, Chemical Engineering, Civil Engineering, Electrical Engineering, Mechanical Engineering, Social and Management Sciences, Transportation Engineering).
The journals have free electronic versions.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1 |
| 2024 | 1.30 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.284 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q3 |
h-index
| Year | Value |
|---|---|
| 2024 | 28 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 17178 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 180 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Policy Links
This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.
- Aims scope
- Homepage
- Oa statement
- Author instructions
- License terms
- Review url
- Board url
- Copyright url
- Plagiarism url
- Apc url
- License
Plagiarism Policy
This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.
For more details, please refer to our official: Plagiarism Policy.
APC Details
The journal’s Article Processing Charge (APC) policies support open access publishing in Engineering, ensuring accessibility and quality in research dissemination.
This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.
Explore journals without APCs for alternative publishing options.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Influence of the 3D Printing Process Settings on Tensile Strength of PLA and HT-PLA
Citation: 97
Authors: Muammel M., Róbert, László
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Performance, Combustion and Emission Characteristics of a D.I. Diesel Engine Fuelled with Nanoparticle Blended Jatropha Biodiesel
Citation: 88
Authors: Prabu, Ramachandran Bhagavathiammal
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Bisection method in higher dimensions and the efficiency number
Citation: 75
Authors: Dániel, Gábor
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Analysis of Characteristics of Surface Roughness of Machined CFRP Composites
Citation: 69
Authors: Norbert, Csongor
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Producing metal matrix syntactic foams by pressure infiltration
Citation: 53
Authors: Imre Norbert, János
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Increasing of Equipment Efficiency by Intensification of Technological Processes
Citation: 46
Authors: Anatolii, Yevheniia, Vitalii, Maryna, Fatyma, Magomediemin
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Heat and Mass Transfer of a Peristaltic Electro-osmotic Flow of a Couple Stress Fluid through an Inclined Asymmetric Channel with Effects of Thermal Radiation and Chemical Reaction
Citation: 45
Authors: Kattamreddy Venugopal, Machireddy Gnaneswara, Oluwole Daniel
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On the Modeling of Surface Roughness and Cutting Force when Turning of Inconel 718 Using Artificial Neural Network and Response Surface Methodology: Accuracy and Benefit
Citation: 43
Authors: Hamid, Mohamed Athmane, Ikhlas, Francois, Tarek
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Optimization of Cutting Parameters to Minimize the Surface Roughness in the End Milling Process Using the Taguchi Method
Citation: 39
Authors: João, Hernâni, Luis, Daniel