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Scientometric Analysis of Safety Sign Research: 1990–2019

Author

Listed:
  • Jingqi Gao

    (Department of Safety Science and Engineering, School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xiang Wu

    (Department of Safety Science and Engineering, School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xiaowei Luo

    (College of Engineering, City University of Hong Kong, Hong Kong, China)

  • Shukai Guan

    (School of Reliability and System Engineering, Beihang University, Beijing 100191, China)

Abstract

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.

Suggested Citation

  • Jingqi Gao & Xiang Wu & Xiaowei Luo & Shukai Guan, 2021. "Scientometric Analysis of Safety Sign Research: 1990–2019," IJERPH, MDPI, vol. 18(1), pages 1-15, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:1:p:273-:d:473517
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    References listed on IDEAS

    as
    1. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    2. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
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    Cited by:

    1. Yongzheng Yang & Zhigang Du & Fangtong Jiao & Fuquan Pan, 2021. "Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel," IJERPH, MDPI, vol. 18(18), pages 1-18, September.

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