OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Safety Research is 28. 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
Implementing and evaluating novel safety training methods for construction sector workers: Results of a randomized controlled trial	79
Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model	79
Stability and safety evaluation of mixed traffic flow with connected automated vehicles on expressways	78
A literature review of machine learning algorithms for crash injury severity prediction	76
Severity of e-scooter rider injuries associated with trip characteristics	71
Comparison of motor vehicle-involved e-scooter and bicycle crashes using standardized crash typology	65
Learning to interpret novel eHMI: The effect of vehicle kinematics and eHMI familiarity on pedestrian’ crossing behavior	59
What humanlike errors do autonomous vehicles need to avoid to maximize safety?	50
Applications of wireless sensor networks to improve occupational safety and health in underground mines	49
The effect of motorcyclists’ age on injury severities in single-motorcycle crashes with unobserved heterogeneity	48
Data mining approach to model bus crash severity in Australia	46
Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches	45
Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting	44
Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, Australia	43
Unintentional injury deaths in children and youth, 2010–2019	42
Risk factors affecting crash injury severity for different groups of e-bike riders: A classification tree-based logistic regression model	42
Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology	41
A systematic review of the application of immersive technologies for safety and health management in the construction sector	40
The acceptance of personal protective equipment among Hong Kong construction workers: An integration of technology acceptance model and theory of planned behavior with risk perception and safety clima	39
Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers	38
Users’ acceptance of private automated vehicles: A systematic review and meta-analysis	37
Evaluation of the head protection effectiveness of cyclist helmets using full-scale computational biomechanics modelling of cycling accidents	37
Using latent class clustering and binary logistic regression to model Australian cyclist injury severity in motor vehicle–bicycle crashes	36
Exploring bicyclist injury severity in bicycle-vehicle crashes using latent class clustering analysis and partial proportional odds models	34
Real-time monitoring of work-at-height safety hazards in construction sites using drones and deep learning	33

Factors affecting pedestrian behaviors at signalized crosswalks: An empirical study	31
An analysis of single-vehicle truck crashes on rural curved segments accounting for unobserved heterogeneity	30
Investigating hazardous factors affecting freeway crash injury severity incorporating real-time weather data: Using a Bayesian multinomial logit model with conditional autoregressive priors	30
Investigation of accidents involving powered two wheelers and bicycles – A European in-depth study	28
Continued trends in older driver crash involvement rates in the United States: Data through 2017–2018	28
Exploring pedestrian injury severities at pedestrian-vehicle crash hotspots with an annual upward trend: A spatiotemporal analysis with latent class random parameter approach	28
Sport participation and injury rates in high school students: A Canadian survey of 2029 adolescents	28