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Analyzing crash injury severities with deep learning and advanced statistical models: An assessment of methodological challenges

MohammadAli Seyfi et al.

Analytic Methods in Accident Research2025https://doi.org/10.1016/j.amar.2025.100405article
ABDC B
Weight
0.44

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3 citations

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https://doi.org/https://doi.org/10.1016/j.amar.2025.100405

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@article{mohammadali2025,
  title        = {{Analyzing crash injury severities with deep learning and advanced statistical models: An assessment of methodological challenges}},
  author       = {MohammadAli Seyfi et al.},
  journal      = {Analytic Methods in Accident Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.amar.2025.100405},
}

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Analyzing crash injury severities with deep learning and advanced statistical models: An assessment of methodological challenges

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.