OOIR: Observatory of International Research

Papers

(The H4-Index of Safety Science is 48. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
An overview of scientometric mapping for the safety science community: Methods, tools, and framework	128
Modeling the spread of COVID-19 on construction workers: An agent-based approach	103
Face masks and respirators in the fight against the COVID-19 pandemic: An overview of the standards and testing methods	91
Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis	88
Highway 4.0: Digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning	87
Computer vision technologies for safety science and management in construction: A critical review and future research directions	86
Determinant of injury severities in large truck crashes: A weekly instability analysis	86
Hazardous chemical leakage accidents and emergency evacuation response from 2009 to 2018 in China: A review	77
Assessment of safety management system on energy investment risk using house of quality based on hybrid stochastic interval-valued intuitionistic fuzzy decision-making approach	76
Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model	76
A framework to model the STPA hierarchical control structure of an autonomous ship	75
An improved text mining approach to extract safety risk factors from construction accident reports	74
Safety challenges of UAV integration in construction: Conceptual analysis and future research roadmap	73
A systematic review of human-AI interaction in autonomous ship systems	71
A novel cyber-risk assessment method for ship systems	70
The role of transport accessibility within the spread of the Coronavirus pandemic in Italy	65
A novel decision support system for managing predictive maintenance strategies based on machine learning approaches	65
Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis	64
Arctic shipping risk management: A bibliometric analysis and a systematic review of risk influencing factors of navigational accidents	64
Injury severity on traffic crashes: A text mining with an interpretable machine-learning approach	63
Predicting multiple types of traffic accident severity with explanations: A multi-task deep learning framework	61
A novel fuzzy dynamic Bayesian network for dynamic risk assessment and uncertainty propagation quantification in uncertainty environment	60
Using virtual reality to study pedestrian exit choice behaviour during evacuations	59
Causal analysis of accidents on construction sites: A hybrid fuzzy Delphi and DEMATEL approach	58
Road safety research in the context of low- and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges	57

Factors affecting unmanned aerial vehicles’ safety: A post-occurrence exploratory data analysis of drones’ accidents and incidents in Australia	57
The past and present of System-Theoretic Accident Model And Processes (STAMP) and its associated techniques: A scoping review	56
Economic development and construction safety research: A bibliometrics approach	56
Risk prediction and early warning for air traffic controllers’ unsafe acts using association rule mining and random forest	55
Safety Management System (SMS) framework development – Mitigating the critical safety factors affecting Health and Safety performance in construction projects	54
Insights into the mechanism of construction workers’ unsafe behaviors from an individual perspective	54
Construction safety knowledge sharing on Twitter: A social network analysis	53
Assessing occupational risk of heat stress at construction: A worker-centric wearable sensor-based approach	53
The effect of personal and organizational factors on the risk-taking behavior of Hong Kong construction workers	52
VR and MR technology for safety management education: An authentic learning approach	52
An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety	52
A systems-based application for autonomous vessels safety: Hazard identification as a function of increasing autonomy levels	52
Unveiling the mechanism of construction workers’ unsafe behaviors from an occupational stress perspective: A qualitative and quantitative examination of a stress–cognition–safety model	51
Causal factors and risk assessment of fall accidents in the U.S. construction industry: A comprehensive data analysis (2000–2020)	50
Beirut explosion 2020: A case study for a large-scale urban blast simulation	50
A coupled Computational Fluid Dynamics and Wells-Riley model to predict COVID-19 infection probability for passengers on long-distance trains	50
Adapting to the unexpected: Problematic work situations and resilience strategies in healthcare institutions during the COVID-19 pandemic’s first wave	50
WAx: An integrated conceptual framework for the analysis of cyber-socio-technical systems	49
The COVID-19 pandemic: Workplace safety management practices, job insecurity, and employees’ organizational citizenship behavior	49
A qualitative analysis of crane safety incident causation in the Australian construction industry	49
Assessment of virtual reality based safety training simulator for electric overhead crane operations	48
A multimodal study to measure the cognitive demands of hazard recognition in construction workplaces	48
Why do people make risky decisions during a fire evacuation? Study on the effect of smoke level, individual risk preference, and neighbor behavior	48