Journal of Quantitative Analysis in Sports

Journal of Quantitative Analysis in Sports
影响因子:
1.1
ISSN:
print: 2194-6388
on-line: 1559-0410
研究领域:
SOCIAL SCIENCES, MATHEMATICAL METHODS-
自引率:
12.50%
Gold OA文章占比:
14.29%
原创研究文献占比:
94.44%
SCI收录类型:
Emerging Sources Citation Index (ESCI) || Scopus (CiteScore)
期刊介绍英文:
The Journal of Quantitative Analysis in Sports (JQAS), an official journal of the American Statistical Association, publishes timely, high-quality peer-reviewed research on the quantitative aspects of professional and amateur sports, including collegiate and Olympic competition. The scope of application reflects the increasing demand for novel methods to analyze and understand data in the growing field of sports analytics. Articles come from a wide variety of sports and diverse perspectives, and address topics such as game outcome models, measurement and evaluation of player performance, tournament structure, analysis of rules and adjudication, within-game strategy, analysis of sporting technologies, and player and team ranking methods. JQAS seeks to publish manuscripts that demonstrate original ways of approaching problems, develop cutting edge methods, and apply innovative thinking to solve difficult challenges in sports contexts. JQAS brings together researchers from various disciplines, including statistics, operations research, machine learning, scientific computing, econometrics, and sports management.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
2.00.5631.060
学科
排名
百分位
大类:Social Sciences
小类:Social Sciences (miscellaneous)
222 / 604
63%
大类:Decision Sciences
小类:Decision Sciences (miscellaneous)
15 / 25
42%
发文信息
WOS期刊分区
学科分类
Q3SOCIAL SCIENCES, MATHEMATICAL METHODS
历年影响因子
2022年0.8000
2023年1.1000
历年发表
2012年38
2013年33
2014年38
2015年23
2016年19
2017年15
2018年24
2019年24
2020年42
2021年17
2022年15
投稿信息
出版国家(地区):
Germany
出版商:
Walter de Gruyter

Journal of Quantitative Analysis in Sports - 最新文献

Improving the aggregation and evaluation of NBA mock drafts

Pub Date : 2024-08-22 DOI: 10.1515/jqas-2023-0100 Jared D. Fisher, Colin Montague

A basketball paradox: exploring NBA team defensive efficiency in a positionless game

Pub Date : 2024-08-16 DOI: 10.1515/jqas-2024-0010 Charles South

Bayesian bivariate Conway–Maxwell–Poisson regression model for correlated count data in sports

Pub Date : 2024-08-12 DOI: 10.1515/jqas-2024-0072 Mauro Florez, Michele Guindani, Marina Vannucci
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