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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Analytic methods in accident research: Methodological frontier and future directions
Fred Mannering, Chandra R. Bhat
Analytic Methods in Accident Research (2013) Vol. 1, pp. 1-22
Closed Access | Times Cited: 1049

Showing 51-75 of 1049 citing articles:

Impact of road-surface condition on rural highway safety: A multivariate random parameters negative binomial approach
Sikai Chen, Tariq Usman Saeed, Samuel Labi
Analytic Methods in Accident Research (2017) Vol. 16, pp. 75-89
Closed Access | Times Cited: 119
Re-visiting crash–speed relationships: A new perspective in crash modelling
Maria-Ioanna M. Imprialou, Mohammed Quddus, David Pitfield, et al.
Accident Analysis & Prevention (2015) Vol. 86, pp. 173-185
Open Access | Times Cited: 116
A comparative study on machine learning based algorithms for prediction of motorcycle crash severity
Lukuman Wahab, Haobin Jiang
PLoS ONE (2019) Vol. 14, Iss. 4, pp. e0214966-e0214966
Open Access | Times Cited: 116
Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model
Bowen Dong, Xiaoxiang Ma, Feng Chen, et al.
Journal of Advanced Transportation (2018) Vol. 2018, pp. 1-9
Open Access | Times Cited: 115
Modeling correlation and heterogeneity in crash rates by collision types using full bayesian random parameters multivariate Tobit model
Yanyong Guo, Zhibin Li, Pan Liu, et al.
Accident Analysis & Prevention (2019) Vol. 128, pp. 164-174
Closed Access | Times Cited: 115
Partial proportional odds model—An alternate choice for analyzing pedestrian crash injury severities
Lekshmi Sasidharan, Mónica Menéndez
Accident Analysis & Prevention (2014) Vol. 72, pp. 330-340
Closed Access | Times Cited: 114
Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods
Richard Amoh-Gyimah, Meead Saberi, Majid Sarvi
Accident Analysis & Prevention (2016) Vol. 93, pp. 147-159
Closed Access | Times Cited: 114
Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit model
Fangrong Chang, Pengpeng Xu, Hanchu Zhou, et al.
Accident Analysis & Prevention (2019) Vol. 131, pp. 316-326
Closed Access | Times Cited: 112
Analysis of vehicle accident-injury severities: A comparison of segment- versus accident-based latent class ordered probit models with class-probability functions
Grigorios Fountas, Panagiotis Ch. Anastasopoulos, Fred Mannering
Analytic Methods in Accident Research (2018) Vol. 18, pp. 15-32
Closed Access | Times Cited: 110
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Qiang Zeng, Huiying Wen, Helai Huang, et al.
Accident Analysis & Prevention (2016) Vol. 99, pp. 184-191
Closed Access | Times Cited: 109
Day-of-the-week variations and temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: A random parameters logit approach with heterogeneity in means and variances
Yang Li, Li Song, Wei Fan
Analytic Methods in Accident Research (2020) Vol. 29, pp. 100152-100152
Closed Access | Times Cited: 109
Improved Support Vector Machine Models for Work Zone Crash Injury Severity Prediction and Analysis
Seyedmirsajad Mokhtarimousavi, Jason C. Anderson, Atorod Azizinamini, et al.
Transportation Research Record Journal of the Transportation Research Board (2019) Vol. 2673, Iss. 11, pp. 680-692
Closed Access | Times Cited: 108
A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments
Qiang Zeng, Huiying Wen, Helai Huang, et al.
Accident Analysis & Prevention (2017) Vol. 100, pp. 37-43
Closed Access | Times Cited: 105
The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents
Grigorios Fountas, Achille Fonzone, Niaz Gharavi, et al.
Analytic Methods in Accident Research (2020) Vol. 27, pp. 100124-100124
Open Access | Times Cited: 105
Multivariate space-time modeling of crash frequencies by injury severity levels
Xiaoxiang Ma, Suren Chen, Feng Chen
Analytic Methods in Accident Research (2017) Vol. 15, pp. 29-40
Closed Access | Times Cited: 104
Investigating the injury severity of single-vehicle truck crashes in a developing country
Ehsan Rahimi, Ali Shamshiripour, Amir Samimi, et al.
Accident Analysis & Prevention (2020) Vol. 137, pp. 105444-105444
Closed Access | Times Cited: 102
Latent class analysis of factors that influence weekday and weekend single-vehicle crash severities
Emmanuel Kofi Adanu, Alexander M. Hainen, Steven Jones
Accident Analysis & Prevention (2018) Vol. 113, pp. 187-192
Closed Access | Times Cited: 100
Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model
Aryan Hosseinzadeh, Amin Moeinaddini, Ali Ghasemzadeh
Journal of Safety Research (2021) Vol. 77, pp. 151-160
Closed Access | Times Cited: 99
An Improved Deep Learning Model for Traffic Crash Prediction
Chunjiao Dong, Chunfu Shao, Juan Li, et al.
Journal of Advanced Transportation (2018) Vol. 2018, pp. 1-13
Open Access | Times Cited: 97
Investigation of driver injury severities in rural single-vehicle crashes under rain conditions using mixed logit and latent class models
Zhenning Li, Yusheng Ci, Cong Chen, et al.
Accident Analysis & Prevention (2019) Vol. 124, pp. 219-229
Closed Access | Times Cited: 97
Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach
Pengpeng Xu, Helai Huang, Ni Dong, et al.
Accident Analysis & Prevention (2016) Vol. 98, pp. 330-337
Closed Access | Times Cited: 95
Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach
Fangrong Chang, Maosheng Li, Pengpeng Xu, et al.
International Journal of Environmental Research and Public Health (2016) Vol. 13, Iss. 7, pp. 714-714
Open Access | Times Cited: 94
Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances
Grigorios Fountas, Panagiotis Ch. Anastasopoulos
Analytic Methods in Accident Research (2018) Vol. 20, pp. 30-45
Open Access | Times Cited: 93
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions
Mouyid Islam, Fred Mannering
Accident Analysis & Prevention (2021) Vol. 153, pp. 106039-106039
Closed Access | Times Cited: 92
Accident analysis with aggregated data: The random parameters negative binomial panel count data model
Emine ÇORUH, Abdülbaki Bilgiç, Ahmet Tortum
Analytic Methods in Accident Research (2015) Vol. 7, pp. 37-49
Closed Access | Times Cited: 91

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