Analytic Methods in Accident Research
ISSN:2213-6657

Analytic Methods in Accident Research

ANAL METHODS ACCID R
学科领域:工程技术
是否预警:不在预警名单内
是否OA:
录用周期:-
新锐分区:工程技术1区
年发文量:29
影响因子:12.6
JCR分区:Q1

基本信息

-
2213-6657SCIE/SSCI/Scopus收录
12.6
9.8
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
工程技术1区
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生
1区
TRANSPORTATION 交通运输
1区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
SSCI
Q1
10/421
学科:TRANSPORTATION
SSCI
Q1
2/62
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
SSCI
Q1
9/421
学科:TRANSPORTATION
SSCI
Q1
1/62
暂无h-index数据
29
20%---Multiple-
20.6%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
100.00%19.54%-
CiteScore:23.30
SJR:6.076
SNIP:3.405
学科类别分区排名百分位
大类:Social Sciences
小类:Transportation
Q1
3 / 152
大类:Social Sciences
小类:Safety Research
Q1
1 / 109

期刊高被引文献

The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: A correlated grouped random parameters bivariate probit approach
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.100091
Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.100102
A statistical assessment of temporal instability in the factors determining motorcyclist injury severities
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.100090
Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.100101
An exploratory investigation of public perceptions towards safety and security from the future use of flying cars in the United States
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.100103
A preliminary investigation of the effectiveness of high visibility enforcement programs using naturalistic driving study data: A grouped random parameters approach
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2018.10.003
A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.01.002
Combining driving simulator and physiological sensor data in a latent variable model to incorporate the effect of stress in car-following behaviour
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.02.001
Bayesian hierarchical modeling of the non-stationary traffic conflict extremes for crash estimation
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.100100
Bayesian hierarchical modeling of traffic conflict extremes for crash estimation: A non-stationary peak over threshold approach
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/j.amar.2019.100106
Modeling unobserved heterogeneity for zonal crash frequencies: A Bayesian multivariate random-parameters model with mixture components for spatially correlated data
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/j.amar.2019.100105
A latent class approach for driver injury severity analysis in highway single vehicle crash considering unobserved heterogeneity and temporal influence
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/j.amar.2019.100110
Do we need multivariate modeling approaches to model crash frequency by crash types? A panel mixed approach to modeling crash frequency by crash types
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/j.amar.2019.100107
Hourly associations between weather factors and traffic crashes: non-linear and lag effects
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/j.amar.2019.100109
Comprehensive evaluation of signal-coordinated arterials on traffic safety
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.01.001
Contrasting case-wise deletion with multiple imputation and latent variable approaches to dealing with missing observations in count regression models
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.100104
A marginalized random effects hurdle negative binomial model for analyzing refined-scale crash frequency data
来源期刊:Analytic Methods in Accident ResearchDOI:10.1016/J.AMAR.2019.100092

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