Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks.

By Dursun Delen, Ramesh Sharda, Max Bessonov. Accident Analysis and Prevention, 2006

430 citations recorded by the source corpus.

Subfields: Building and Construction, Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/e18ee85aa24884532b842d47a869334cb6fcc7f7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. D. Lord
2. Fred L. Mannering
3. Mohammed A. Quddus
4. Peter T. Savolainen
5. Yunlong Zhang
6. Yajie Zou

In Radiological and Ultrasound Technology

1. Fred L. Mannering
2. Chandra R. Bhat
3. Ali Behnood

In Safety, Risk, Reliability and Quality

1. Fred L. Mannering
2. D. Lord
3. Mohammed A. Quddus
4. Peter T. Savolainen
5. Chandra R. Bhat
6. Panagiotis Ch. Anastasopoulos
7. Ali Behnood
8. Grigorios Fountas

Citations in the corpus

• The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (2011, background): “For example, a few researchers have used artificial neural networks in the injury severity research literature (Abdelwahab and Abdel-Aty, 2001; Delen et al., 2006; Chimba and Sando, 2009).”