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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:

Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances
Ali Behnood, Fred Mannering
Analytic Methods in Accident Research (2017) Vol. 16, pp. 35-47
Closed Access | Times Cited: 337

Showing 26-50 of 337 citing articles:

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
Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes
Zhenning Li, Qiong Wu, Yusheng Ci, et al.
Accident Analysis & Prevention (2019) Vol. 129, pp. 230-240
Closed Access | Times Cited: 86
Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina
Pengfei Liu, Wei Fan
Accident Analysis & Prevention (2019) Vol. 135, pp. 105388-105388
Closed Access | Times Cited: 86
Addressing unobserved heterogeneity in the analysis of bicycle crash injuries in Scotland: A correlated random parameters ordered probit approach with heterogeneity in means
Grigorios Fountas, Achille Fonzone, Adebola Olowosegun, et al.
Analytic Methods in Accident Research (2021) Vol. 32, pp. 100181-100181
Open Access | Times Cited: 85
Pedestrian injury severity in motor vehicle crashes: An integrated spatio-temporal modeling approach
Jun Liu, Alexander M. Hainen, Xiaobing Li, et al.
Accident Analysis & Prevention (2019) Vol. 132, pp. 105272-105272
Closed Access | Times Cited: 84
Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction
Asim Alogaili, Fred Mannering
Analytic Methods in Accident Research (2021) Vol. 33, pp. 100201-100201
Closed Access | Times Cited: 80
Injury severity analysis of truck-involved crashes under different weather conditions
Majbah Uddin, Nathan Huynh
Accident Analysis & Prevention (2020) Vol. 141, pp. 105529-105529
Open Access | Times Cited: 78
Temporal stability of pedestrian injury severity in pedestrian-vehicle crashes: New insights from random parameter logit model with heterogeneity in means and variances
Ali Zamani, Ali Behnood, Seyed Rasoul Davoodi
Analytic Methods in Accident Research (2021) Vol. 32, pp. 100184-100184
Closed Access | Times Cited: 77
The impact of higher speed limits on the frequency and severity of freeway crashes: Accounting for temporal shifts and unobserved heterogeneity
Nawaf Alnawmasi, Fred Mannering
Analytic Methods in Accident Research (2021) Vol. 34, pp. 100205-100205
Closed Access | Times Cited: 77
A statistical assessment of work-from-home participation during different stages of the COVID-19 pandemic
Natalia Barbour, Nikhil Menon, Fred Mannering
Transportation Research Interdisciplinary Perspectives (2021) Vol. 11, pp. 100441-100441
Open Access | Times Cited: 75
A correlated random parameters with heterogeneity in means approach of deer-vehicle collisions and resulting injury-severities
Sheikh Shahriar Ahmed, Jessica Cohen, Panagiotis Ch. Anastasopoulos
Analytic Methods in Accident Research (2021) Vol. 30, pp. 100160-100160
Closed Access | Times Cited: 74
Analysis of safety benefits and security concerns from the use of autonomous vehicles: A grouped random parameters bivariate probit approach with heterogeneity in means
Sheikh Shahriar Ahmed, Sarvani Sonduru Pantangi, Ugur Eker, et al.
Analytic Methods in Accident Research (2020) Vol. 28, pp. 100134-100134
Open Access | Times Cited: 71
Temporal analysis of crash severities involving male and female drivers: A random parameters approach with heterogeneity in means and variances
Xintong Yan, Jie He, Changjian Zhang, et al.
Analytic Methods in Accident Research (2021) Vol. 30, pp. 100161-100161
Closed Access | Times Cited: 69
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means
Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, et al.
Accident Analysis & Prevention (2021) Vol. 161, pp. 106352-106352
Closed Access | Times Cited: 69
How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?
Emmanuel Kofi Adanu, David B. Brown, Steven Jones, et al.
Accident Analysis & Prevention (2021) Vol. 163, pp. 106428-106428
Open Access | Times Cited: 66
The effect of motorcyclists’ age on injury severities in single-motorcycle crashes with unobserved heterogeneity
Mouyid Islam
Journal of Safety Research (2021) Vol. 77, pp. 125-138
Closed Access | Times Cited: 65
Risk-taking behaviors of e-scooter users: A survey in Paris
Christos Gioldasis, Zoi Christoforou, RĂ©gine Seidowsky
Accident Analysis & Prevention (2021) Vol. 163, pp. 106427-106427
Closed Access | Times Cited: 63
Exploring factors affecting the injury severity of freeway tunnel crashes: A random parameters approach with heterogeneity in means and variances
Amjad Pervez, Jaeyoung Lee, Helai Huang
Accident Analysis & Prevention (2022) Vol. 178, pp. 106835-106835
Closed Access | Times Cited: 54
A temporal assessment of distracted driving injury severities using alternate unobserved-heterogeneity modeling approaches
Nawaf Alnawmasi, Fred Mannering
Analytic Methods in Accident Research (2022) Vol. 34, pp. 100216-100216
Closed Access | Times Cited: 49
Spatiotemporal instability analysis of injury severities in truck-involved and non-truck-involved crashes
Chenzhu Wang, Fei Chen, Yunlong Zhang, et al.
Analytic Methods in Accident Research (2022) Vol. 34, pp. 100214-100214
Closed Access | Times Cited: 46
Evidence of sample selectivity in highway injury-severity models: The case of risky driving during COVID-19
Mouyid Islam, Asim Alogaili, Fred Mannering, et al.
Analytic Methods in Accident Research (2022) Vol. 38, pp. 100263-100263
Open Access | Times Cited: 45
Differences of overturned and hit-fixed-object crashes on rural roads accompanied by speeding driving: Accommodating potential temporal shifts
Xintong Yan, Jie He, Guanhe Wu, et al.
Analytic Methods in Accident Research (2022) Vol. 35, pp. 100220-100220
Closed Access | Times Cited: 39
Temporal instability and age differences of determinants affecting injury severities in nighttime crashes
Xintong Yan, Jie He, Changjian Zhang, et al.
Analytic Methods in Accident Research (2023) Vol. 38, pp. 100268-100268
Closed Access | Times Cited: 29
An exploratory analysis of the effects of speed limits on pedestrian injury severities in vehicle-pedestrian crashes
Mouyid Islam
Journal of Transport & Health (2023) Vol. 28, pp. 101561-101561
Closed Access | Times Cited: 28
A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes
Zhiyuan Sun, Duo Wang, Xin Gu, et al.
Accident Analysis & Prevention (2023) Vol. 192, pp. 107235-107235
Closed Access | Times Cited: 27

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