SCOPUS
Construction Materials and Products
Belgorod V G Shukhov State Technology University, Russian Federation
Construction Materials and Products is an academic journal published by Belgorod V G Shukhov State Technology University (Russian Federation). Identifiers: eISSN 2618-7183. Indexed in SCOPUS. Metrics: CiteScore 3.4, SJR 0.606, SNIP 2.83. tlooto lists 356 papers from this journal.
CiteScore
3.40
Scopus citation metric
SJR
0.606
SCImago rank
SNIP
2.83
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- -
- eISSN
- 2618-7183
- Abbreviation
- -
- Publisher
- Belgorod V G Shukhov State Technology University
- Country
- Russian Federation
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2205 Civil and Structural Engineering2215 Building and Construction2216 Architecture2501 Materials Science (miscellaneous)
Papers in this journal
Recent papers
- Polymeric composites and a study of the effect of ferrocene-based reinforcements on their mechanical properties
2026
- Effect of distilled water at high temperature on ductility and low-cycle fatigue of steel 10MgNi2MoV
2026
- Prediction of concrete nonlinear creep using machine learning methods
2026
- Comparison of technological properties of clay raw materials during the tests using plastic and soft methods of brick molding
2026
- Distinguishing characteristics of the molding properties of ceramic masses based on siliceous opoka-like rocks for the production of large-format porous stones using the rigid extrusion method
2026
Most cited papers
- Experimental studies of the processes of structure formation ofcomposite mixtures with technogenic mechanoactivated silica component
2023 · 37 citations
- Development of alkali-activated binders based on technogenic fibrous materials
2023 · 32 citations
- THERMAL INSULATION SOLUTIONS OF THE REDUCED DENSITY
2020 · 26 citations
- STRUCTURE FORMATION IN ALKALI ACTIVATED ALUMINOSILICATE BINDING SYSTEMS USING NATURAL RAW MATERIALS WITH DIFFERENT CRYSTALLINITY DEGREE
2020 · 24 citations
- Synergistic Integration of Digital Twins and Neural Networks for Advancing Optimization in the Construction Industry: A Comprehensive Review
2024 · 21 citations