Journal of Safety Research

Papers
(The H4-Index of Journal of Safety Research is 27. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
A multinomial logit model of motorcycle crash severity at Australian intersections82
Stability and safety evaluation of mixed traffic flow with connected automated vehicles on expressways63
Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model63
Implementing and evaluating novel safety training methods for construction sector workers: Results of a randomized controlled trial60
A literature review of machine learning algorithms for crash injury severity prediction53
Severity of e-scooter rider injuries associated with trip characteristics52
Comparison of motor vehicle-involved e-scooter and bicycle crashes using standardized crash typology49
Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting40
Data mining approach to model bus crash severity in Australia39
The effect of motorcyclists’ age on injury severities in single-motorcycle crashes with unobserved heterogeneity38
In-depth approach for identifying crash causation patterns and its implications for pedestrian crash prevention38
Bicyclist injury severity in traffic crashes: A spatial approach for geo-referenced crash data to uncover non-stationary correlates37
What humanlike errors do autonomous vehicles need to avoid to maximize safety?36
Severity of passenger injuries on public buses: A comparative analysis of collision injuries and non-collision injuries35
Evaluation of the head protection effectiveness of cyclist helmets using full-scale computational biomechanics modelling of cycling accidents34
Who uses a mobile phone while driving for food delivery? The role of personality, risk perception, and driving self-efficacy33
Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology33
Collaborative robotics: New era of human–robot cooperation in the workplace33
Learning to interpret novel eHMI: The effect of vehicle kinematics and eHMI familiarity on pedestrian’ crossing behavior33
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 clima31
Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers31
Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver sub-cultures30
Users’ acceptance of private automated vehicles: A systematic review and meta-analysis30
Unintentional injury deaths in children and youth, 2010–201930
Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches30
Risk factors affecting crash injury severity for different groups of e-bike riders: A classification tree-based logistic regression model29
Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, Australia28
Applications of wireless sensor networks to improve occupational safety and health in underground mines27
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