Safety, Risk, Reliability and Quality papers
Pofolia’s corpus holds 48 papers from Safety, Risk, Reliability and Quality (2012–2026), each with a short summary. Below, the 20 most-cited, then the most recently added.
At a glance
- Most cited: IOP Conference Series: Materials Science and Engineering (2022, 10,377 citations).
- The 20 papers listed have 24,362 citations between them.
- 11 of the 14 with a known journal quartile appeared in a Q1 journal.
- 7 have a free full text (open access).
- Most frequent journals: Applied Stochastic Models in Business and Industry, arXiv (Cornell University), Canadian Journal of Forest Research.
- Published between 2012 and 2023.
Most cited
Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”. How to read the signals
IOP Conference Series: Materials Science and Engineering
IOP Conference Series Materials Science and Engineering · 2022 · 10,377 citations · Open access
This document is a proceedings compilation from the International Nuclear Science, Technology and Engineering Conference 2021 (iNuSTEC2021) held at Universiti Teknologi Malaysia.
International Atomic Energy Agency (IAEA)
2018 · FWCI 283.89 · 1,175 citations
The IAEA's safeguards inspections verify peaceful use of nuclear material, with many programs supporting sustainable development and environmental protection goals outlined in Agenda 21.
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
arXiv (Cornell University) · 2016 · 1,049 citations · Open access
Researchers introduce the Concrete distribution, a novel continuous relaxation of discrete random variables, enabling gradient-based optimization of discrete stochastic computation graphs.
Driver crash risk factors and prevalence evaluation using naturalistic driving data
Proceedings of the National Academy of Sciences · 2016 · Q1 · SJR 3.00 · FWCI 99.03 · 1,026 citations · Open access
Driver-related factors like error, impairment, fatigue, and distraction are present in nearly 90% of crashes, a significant shift in recent years. Handheld electronic devices are a major contributor to distraction and increased risk.
Long Short-Term Memory Network for Remaining Useful Life estimation
2017 · 842 citations
A novel Long Short-Term Memory (LSTM) network approach for Remaining Useful Life (RUL) estimation significantly outperforms traditional methods and Convolutional Neural Networks (CNNs).
Critical Reasons for Crashes Investigated in the National Motor Vehicle Crash Causation Survey
2015 · FWCI 74.04 · 806 citations
In 94% of light vehicle crashes, the driver's error was the critical reason, with recognition errors accounting for the largest share (41%).
Distracted Driving and Risk of Road Crashes among Novice and Experienced Drivers
New England Journal of Medicine · 2014 · Q1 · SJR 18.00 · FWCI 184.42 · 798 citations · Open access
Novice drivers face a significantly higher risk of crashes and near-crashes when performing secondary tasks, such as dialing a cell phone (odds ratio 8.32) or texting (odds ratio 3.87), compared to experienced drivers.
Safety in numbers: more walkers and bicyclists, safer walking and bicycling
Injury Prevention · 2015 · Q2 · FWCI 136.88 · 775 citations
The likelihood of a pedestrian or cyclist being struck by a motorist decreases as the number of people walking or cycling increases.
Geotechnical stability analysis
Géotechnique · 2013 · Q1 · SJR 2.00 · FWCI 50.63 · 715 citations
A new finite-element limit analysis method combines plasticity theory with finite elements to provide rigorous upper and lower bounds on failure loads in geotechnical engineering, without needing to assume failure modes.
Stochastic modelling and analysis of degradation for highly reliable products
Applied Stochastic Models in Business and Industry · 2014 · Q2 · FWCI 79.23 · 668 citations
This paper reviews and classifies state-of-the-art degradation models for complex systems, categorizing them into stochastic process, general path, and other models.
An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings
IEEE Transactions on Industrial Electronics · 2015 · Q1 · SJR 2.00 · FWCI 39.08 · 661 citations
An improved exponential model enhances remaining useful life (RUL) prediction for rolling element bearings by introducing an adaptive first predicting time (FPT) selection and using particle filtering to reduce random errors.
Modeling and Evaluating the Resilience of Critical Electrical Power Infrastructure to Extreme Weather Events
IEEE Systems Journal · 2015 · Q1 · SJR 1.00 · FWCI 57.24 · 660 citations
A novel simulation model using sequential Monte Carlo and fragility curves quantifies the resilience of electrical power systems to extreme weather events, incorporating human response.
The global macroeconomic burden of road injuries: estimates and projections for 166 countries
The Lancet Planetary Health · 2019 · Q1 · SJR 4.00 · FWCI 70.00 · 649 citations · Open access
Road injuries are projected to cost the global economy $1.8 trillion (constant 2010 US$) between 2015 and 2030, equivalent to an annual tax of 0.12% on global GDP.
Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process
IEEE Transactions on Reliability · 2012 · Q1 · SJR 1.00 · FWCI 94.84 · 648 citations
A novel nonlinear diffusion model significantly improves remaining useful life (RUL) estimation for degrading systems by accurately capturing nonlinear degradation dynamics, outperforming existing linear models.
Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines
Wind Energy · 2015 · Q2 · FWCI 50.40 · 628 citations
This paper presents failure rates for offshore wind turbines and their sub-assemblies, based on data from ~350 turbines across Europe. It also details repair times, costs, and technician requirements.
A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques
Canadian Journal of Forest Research · 2015 · Q1 · FWCI 68.44 · 625 citations
This paper surveys current progress in using unmanned aerial vehicles (UAVs) equipped with vision-based systems for forest fire monitoring, detection, and fighting, highlighting their potential due to maneuverability, range, and safety.
An improved fire detection approach based on YOLO-v8 for smart cities
Neural Computing and Applications · 2023 · Q1 · SJR 1.00 · FWCI 87.31 · 611 citations · Open access
A new smart fire detection system (SFDS) using the YOLOv8 algorithm achieves 97.1% precision for fire detection in smart cities, outperforming traditional methods.
A Forest Fire Detection System Based on Ensemble Learning
Forests · 2021 · Q1 · FWCI 74.34 · 553 citations · Open access
A novel ensemble learning method integrates Yolov5, EfficientDet, and EfficientNet to improve forest fire detection accuracy by 2.5-10.9% and reduce false positives by 51.3% without adding latency.
International Commission on Radiological Protection (ICRP)
International Year Book and Statesmen's Who's Who · 2014 · 548 citations
The International Commission on Radiological Protection (ICRP) advises that Diagnostic Reference Levels (DRLs) should be implemented by regional, national, and local authorities to manage patient doses in medical imaging.
Convolutional Neural Networks Based Fire Detection in Surveillance Videos
IEEE Access · 2018 · Q1 · FWCI 43.33 · 548 citations
A new, cost-effective Convolutional Neural Network (CNN) architecture, inspired by GoogleNet, achieves effective fire detection in surveillance videos with lower computational demands than AlexNet.
Recently added
Mirror Observerhood Lab V: Recursive Reliability Under Estimator Corruption
Zenodo (CERN European Organization for Nuclear Research) · 2026 · 23 citations
This study introduces recursive reliability, a system that estimates its own reliability, and finds it outperforms simpler methods under specific failure conditions but not always. The core finding is that recursive reliability is only beneficial when lower-order reliability failures are critical and detecting them is cost-effective.
An improved fire detection approach based on YOLO-v8 for smart cities
Neural Computing and Applications · 2023 · Q1 · SJR 1.00 · FWCI 87.31 · 611 citations · Open access
A new smart fire detection system (SFDS) using the YOLOv8 algorithm achieves 97.1% precision for fire detection in smart cities, outperforming traditional methods.
IOP Conference Series: Materials Science and Engineering
IOP Conference Series Materials Science and Engineering · 2022 · 10,377 citations · Open access
This document is a proceedings compilation from the International Nuclear Science, Technology and Engineering Conference 2021 (iNuSTEC2021) held at Universiti Teknologi Malaysia.
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Reliability Engineering & System Safety · 2021 · Q1 · SJR 2.00 · FWCI 42.70 · 501 citations
A survey of machine learning-based predictive maintenance (PdM) in the automotive industry reveals that publicly available data and supervised learning methods are key limitations, while multi-source data fusion and deep learning show promise.
A Forest Fire Detection System Based on Ensemble Learning
Forests · 2021 · Q1 · FWCI 74.34 · 553 citations · Open access
A novel ensemble learning method integrates Yolov5, EfficientDet, and EfficientNet to improve forest fire detection accuracy by 2.5-10.9% and reduce false positives by 51.3% without adding latency.
A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing
Sensors · 2020 · Q1 · FWCI 41.88 · 516 citations · Open access
This review surveys optical remote sensing technologies and algorithms for early forest fire detection, categorizing systems into terrestrial, airborne, and spaceborne types.
Image fire detection algorithms based on convolutional neural networks
Case Studies in Thermal Engineering · 2020 · Q1 · SJR 1.00 · FWCI 42.73 · 373 citations
YOLO v3-based image fire detection achieves 83.7% average precision, outperforming other CNN models and traditional methods.
State-of-the-art review of soft computing applications in underground excavations
Geoscience Frontiers · 2019 · Q1 · SJR 2.00 · FWCI 44.67 · 479 citations
Soft computing techniques like XGBoost, MARS, ANN, and SVM outperform traditional methods in predicting lateral wall deflection in braced excavations.
Journals in this field
The journals that publish most of this field’s papers. Quartile (Q1–Q4), SJR and h-index are from SCImago Journal Rank; “in this field” is how many of the journal’s pooled papers belong here. What is a Q1 journal? · What is the h-index?
| Journal | Quartile | SJR | h-index | In this field | Summaries |
|---|---|---|---|---|---|
| IEEE Transactions on Reliability | Q1 | 1.00 | 131 | 3 | 5 |
| IEEE Transactions on Industrial Informatics | Q1 | 2.00 | 239 | 2 | 9 |
| New England Journal of Medicine | Q1 | 18.00 | 1275 | 1 | 376 |
| Proceedings of the National Academy of Sciences of the United States of America | Q1 | 3.00 | 929 | 1 | 110 |
| IEEE Transactions on Industrial Electronics | Q1 | 2.00 | 375 | 1 | 9 |
| IEEE Transactions on Circuits and Systems for Video Technology | Q1 | 2.00 | 206 | 1 | 7 |
| IEEE Transactions on Systems, Man, and Cybernetics: Systems | Q1 | 2.00 | 196 | 1 | 3 |
| Sensors | Q1 | — | 303 | 1 | 23 |
Every journal in Safety, Risk, Reliability and Quality (Q1–Q4) →
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