JOURNAL METRICS

CiteScore 2023: 1.1 ℹCiteScore:

CiteScore is the number of citations received by a journal in one year to documents published in the three previous years, divided by the number of documents indexed in Scopus published in those same three years.

SCImago Journal Rank (SJR) 2023: 0.16 ℹSCImago Journal Rank (SJR):

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Source Normalized Impact per Paper (SNIP) 2023: 0.571 ℹSource Normalized Impact per Paper(SNIP):

SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a subject field. It helps you make a direct comparison of sources in different subject fields. SNIP takes into account characteristics of the source's subject field, which is the set of documents citing that source.

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Archive

Application of the GRAMC Mesh-Handling Strategy for the Simulation of Dip and Injection Lubrication in Gearboxes

Marco Nicola Mastrone, Franco Concli

https://doi.org/10.2495/CMEM-V10-N4-303-313

Page 303-313

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https://www.witpress.com/elibrary/cmem-volumes/10/4/2950

Optimization of An Adaptive Algae Façade Based on Solar Radiation Simulation

Deena El-Mahdy, Ahmed Khaled Youssef

https://doi.org/10.2495/CMEM-V10-N4-314-328

Page 314-328

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https://www.witpress.com/elibrary/cmem-volumes/10/4/2951

Self-Sensing Tool Holder for In-Process Metrology of Cutting Force in Ultra-High-Precision Single-Point Diamond Turning Applications

Peter Babatunde Odedeyi, Khaled Abou-El-Hossein, Shahrokh Hatefi, Funsho Oyekunle

https://doi.org/10.2495/CMEM-V10-N4-329-344

Page 329-344

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https://www.witpress.com/elibrary/cmem-volumes/10/4/2952

Quantifying the Impact of Classification Track Length Constraints on Railway Gravity Hump Marshalling Yard Performance with Anylogic Simulation

Jiaxi Zhao, C. Tyler Dick

https://doi.org/10.2495/CMEM-V10-N4-345-358

Page 345-358

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https://www.witpress.com/elibrary/cmem-volumes/10/4/2953

Monitoring Systems for Railways Freight Vehicles

Nicola Bosso, Matteo Magelli, Nicolò Zampieri

https://doi.org/10.2495/CMEM-V10-N4-359-371

Page 359-371

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https://www.witpress.com/elibrary/cmem-volumes/10/4/2954

Quantification of the Aerodynamic Gain on Two Virtually Coupled Modular Trains

Siwar Fadhel, Samuel Fromont Capgemini

https://doi.org/10.2495/CMEM-V10-N4-372-384

Page 372-384

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https://www.witpress.com/elibrary/cmem-volumes/10/4/2955

Enhancing the Life of Mechanical Systems such as Refrigerator in Rail Transit Based on Life-Stress Model and Sample Size Formulation

Seong-Woo Woo, Dennis L. O’Neal, Yimer Mohammed Hassen, Gezae Mebrahtu

https://doi.org/10.2495/CMEM-V10-N4-385-397

Page 385-397

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https://www.witpress.com/elibrary/cmem-volumes/10/4/2956