The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Comparison of four statistical and machine learning methods for crash severity prediction
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
Algorithm AS 136: A K-Means Clustering Algorithm
Hartigan, J. A., & Wong, M. A. (1979) · Applied Statistics · doi:10.2307/2346830 · Cited by 14,523
A training algorithm for optimal margin classifiers
Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory · doi:10.1145/130385.130401 · Cited by 11,992
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784
An Introduction to Support Vector Machines
Cristianini, N., & Shawe-Taylor, J. S. (2000) · ePrints Soton (University of Southampton) · Cited by 4,115
Discrete Choice Methods with Simulation
Train, K. E. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511753930 · Cited by 3,890
Cited by
Zhang, J., Li, Z., Pu, Z., & Xu, C. (2018) · IEEE Access · doi:10.1109/access.2018.2874979 · Cited by 258
Machine learning applied to road safety modeling: A systematic literature review
Silva, P. B., Andrade, M., & Ferreira, S. (2020) · Journal of Traffic and Transportation Engineering (English Edition) · doi:10.1016/j.jtte.2020.07.004 · Cited by 162
Hossain, M. M., Zhou, H., & Sun, X. (2023) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.1177/03611981221150927 · Cited by 10
Metadata
- Authors
- Iranitalab, A., & Khattak, A.
- Venue
- Accident Analysis & Prevention
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 108
- Pages
- 27-36
- ISSN
- 0001-4575 (ISSN-L)
- OpenAlex
- W2750591756
- Cited by
- 470
- References
- 42
- FWCI
- 36.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Comparison of four statistical and machine learning methods for crash severity prediction. https://app.cochat.ai/papers/10.1016/j.aap.2017.08.008
- The paper
- Iranitalab, A., & Khattak, A. (2017). Comparison of four statistical and machine learning methods for crash severity prediction. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2017.08.008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
