This journal focuses on methodologies and frameworks for assessing and improving reliability, quality, and safety across various engineering domains. It addresses the prediction of remaining useful life, failure mode prioritization, and the development of robust maintenance strategies. The scope also includes the analysis of system reliability under uncertainty, the design of inspection and sampling plans, and the evaluation of network and production system performance. Furthermore, it explores the application of machine learning and statistical methods for failure detection, risk assessment, and quality control.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Science (miscellaneous)Q3
Electrical and Electronic EngineeringQ3
Energy Engineering and Power TechnologyQ3
Industrial and Manufacturing EngineeringQ3
Nuclear Energy and EngineeringQ3
Safety, Risk, Reliability and QualityQ3
Aerospace EngineeringQ4
Subject Classification
Web of Science Categories
Engineering, Multidisciplinary
Scopus Categories
Industrial and Manufacturing EngineeringComputer Science (miscellaneous)Nuclear Energy and EngineeringElectrical and Electronic EngineeringAerospace EngineeringSafety, Risk, Reliability and QualityEnergy Engineering and Power Technology
Research Topics (OpenAlex)
Reliability and Maintenance OptimizationSoftware Reliability and Analysis ResearchStatistical Distribution Estimation and ApplicationsProbabilistic and Robust Engineering DesignRisk and Safety Analysis