Scientometric Analysis of Safety Sign Research: 1990-2019.
Scientometric Analysis of Safety Sign Research: 1990-2019.
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DOI：
10.3390/ijerph18010273
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发表时间：
2021-01-01
影响因子：
--
通讯作者：
Guan S
中科院分区：
文献类型：
--
作者：
Gao J;Wu X;Luo X;Guan S
本文旨在通过科学计量学分析方法，总结1990-2019年间安全标志研究的主题和热点。使用CiteSpace可视化工具对Web of Science核心数据库中的3102篇文献进行分析，并将结果显示在知识领域地图上。总体特征分析表明，安全标志是一个处于快速发展阶段的新兴研究领域--81.4%的文献作品发表于近十年，美国处于领先地位，其次是中国和加拿大。关键词共现分析表明，交通标志和驾驶安全是近年来最热门的研究课题，并与仿真技术相结合，加入了个体心理健康作为影响因素。期刊和类别共引分析表明，安全标志研究涉及多个学科，主要是工程、交通和公共安全。结果表明，安全标志的研究是多学科的，并将在未来的各个科学领域继续发展。研究结论可为潜在读者提供帮助和参考，为安全标志研究的可持续发展提供帮助和参考。
The purpose of this paper is to summarize the research themes and hotspots of safety signs research between 1990 and 2019 through the scientometric analysis method. In total, 3102 articles of literature from the Web of Science core database were analyzed by the CiteSpace visualization tool and the results were displayed in mapping knowledge domains. The overall characteristics analysis showed that safety sign is an emerging research field in a rapid development stage—81.4% of the literature works were published in the past ten years, and the United States was in the leading position, followed by China and Canada. The keyword co-occurrence analysis indicated that traffic signs and driving safety were the most popular research topics and have been combined with simulation technology in recent years, whereby individual mental health has been added as an influential factor. The journals and category co-citation analysis showed that the safety signs research involved many subjects, mainly engineering, transportation and public safety. The results indicated that the safety signs research is multi-disciplinary, and it will continue to develop in various scientific domains in the future. The conclusions can provide help and reference for potential readers, as well as help with the sustainable development of safety signs research.
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影响因子：
11.2
作者：
Biswas, S;Tatchikou, R;Dion, F
通讯作者：
Dion, F
影响因子：
6.1
作者：
Laughery, Kenneth R.;Wogalter, Michael S.
通讯作者：
Wogalter, Michael S.
影响因子：
120.7
作者：
Lasser, KE;Allen, PD;Bor, DH
通讯作者：
Bor, DH
影响因子：
4.8
作者：
Falagas, Matthew E.;Pitsouni, Eleni I.;Pappas, Georgios
通讯作者：
Pappas, Georgios
影响因子：
3.2
作者：
Adams, A;Bochner, S;Bilik, L
通讯作者：
Bilik, L