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Scientometric cognitive and evaluation on smart city related construction and building journals data

Author

Listed:
  • Liang-xing Su

    (Wuhan University)

  • Peng-hui Lyu

    (Hefei University of Technology)

  • Zheng Yang

    (Wuhan University)

  • Shuai Ding

    (Hefei University of Technology)

  • Kai-le Zhou

    (Hefei University of Technology)

Abstract

In this paper, scientometrics cognitive and knowledge visualization technology were used to evaluate global scientific production and development trends in construction and building technology research of smart cities. All the data was collected from the Science Citation Index-Expanded (SCIE) database and Journal Citation Reports (JCR). The published papers from the subject of construction and building technology and their journals, authors, countries and keywords spanning over several aspects of research topics, proved that architecture/building research grew rapidly over the past 30 years, and the trend still continues in recent smart cities era. The purposed of this study were to identify the journals in the field of construction and building technology in smart city, make a comparative report on related researches, as well as propose a quality evaluation of those journals. Based on JCR and SCI paper data, the journals related to construction and building technology in smart city were assessed using ten metrics: languages, active degree, references, citation trends, main countries, leading institutes, cooperation trends, productive authors, author keywords and keywords plus. The results indicate that all the factors have great significance and are related to the impact of a journal. It also provides guidance to both evaluators and the study groups which assess journals during the process of judging or selecting research outlets, and future perspective on how to improve the impact of a paper or a journal.

Suggested Citation

  • Liang-xing Su & Peng-hui Lyu & Zheng Yang & Shuai Ding & Kai-le Zhou, 2015. "Scientometric cognitive and evaluation on smart city related construction and building journals data," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 449-470, October.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:1:d:10.1007_s11192-015-1697-0
    DOI: 10.1007/s11192-015-1697-0
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    References listed on IDEAS

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    1. Emilio Ferrara & Alfonso E. Romero, 2013. "Scientific impact evaluation and the effect of self-citations: Mitigating the bias by discounting the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(11), pages 2332-2339, November.
    2. Kam C. Chan & Jamie Y. Tong & Frank F. Zhang, 2012. "Accounting Journal Rankings, Authorship Patterns and the Author Affiliation Index," Australian Accounting Review, CPA Australia, vol. 22(4), pages 407-417, December.
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    Cited by:

    1. Lu Huang & Xiang Chen & Yi Zhang & Changtian Wang & Xiaoli Cao & Jiarun Liu, 2022. "Identification of topic evolution: network analytics with piecewise linear representation and word embedding," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5353-5383, September.
    2. Peter Ingwersen & Antonio Eleazar Serrano-López, 2018. "Smart city research 1990–2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1205-1236, November.
    3. Li Zhao & Zhi-ying Tang & Xin Zou, 2019. "Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    4. Ayyoob Sharifi & Zaheer Allam & Bakhtiar Feizizadeh & Hessam Ghamari, 2021. "Three Decades of Research on Smart Cities: Mapping Knowledge Structure and Trends," Sustainability, MDPI, vol. 13(13), pages 1-23, June.

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