Bibliometric analysis of the Journal of Civil Engineering and Management between 2008 and 2018
Abstract
The Journal of Civil Engineering and Management (JCEM) is a prestigious international journal in the field of engineering. This paper uses the method of bibliometric to study the status and development trends of the journal. Information was collected from the Science Citation Index (SCI) database. Firstly, the general citation structure and basic characteristics of the JCEM journal are investigated. Then, the most influential institutions, countries as well as their networks of cooperation are identified. Finally, the main research topics of the JCEM journal are explored by using the frequently used keywords. This paper explores the internal structure and development trend of the JCEM journal, which not only provides an important reference for the future development of this journal, but also provides an effective analysis method for the future evaluation of journals.
Keyword : bibliometric analysis, citation structure, Web of Science, journal, VOSviewer, CiteSpace
How to Cite
Yu, D., Xu, Z., & Antuchevičienė, J. (2019). Bibliometric analysis of the Journal of Civil Engineering and Management between 2008 and 2018. Journal of Civil Engineering and Management, 25(5), 402-410. https://doi.org/10.3846/jcem.2019.9925
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Köseoglu, M. A., Okumus, F., Putra, E. D., Yildiz, M., & Dogan, I. C. (2018). Authorship trends, collaboration patterns, and coauthorship networks in lodging studies (1990–2016). Journal of Hospitality Marketing & Management, 27(5), 561-582. https://doi.org/10.1080/19368623.2018.1399192
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Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: a bibliometric analysis. European Journal of Marketing, 52(1/2), 439-468. https://doi.org/10.1108/ejm-11-2017-0853
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Silva, F. S., Schulz, P. A., & Noyons, E. C. (2019). Co-authorship networks and research impact in large research facilities: benchmarking internal reports and bibliometric databases. Scientometrics, 118(1), 93-108. https://doi.org/10.1007/s11192-018-2967-4
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Yu, D. J., Xu, Z. S., & Fujita, H. (2019). Bibliometric analysis on the evolution of applied intelligence. Applied Intelligence, 49(2), 449-462. https://doi.org/10.1007/s10489-018-1278-z
Yu, D. J., Xu, Z. S., & Wang, W. (2018). Bibliometric analysis of fuzzy theory research in China: A 30-year perspective. Knowledge-Based Systems, 141, 188-199. https://doi.org/10.1016/j.knosys.2017.11.018
Yu, D. J., Xu, Z. S., Kao, Y., & Lin, C. T. (2018). The structure and citation landscape of IEEE Transactions on Fuzzy Systems (1994–2015). IEEE Transactions on Fuzzy Systems, 26(2), 430-442. https://doi.org/10.1109/tfuzz.2017.2672732
Yu, D. J., Xu, Z. S., Pedrycz, W., & Wang, W. (2017). Information Sciences 1968–2016: a retrospective analysis with text mining and bibliometric. Information Sciences, 418, 619-634. https://doi.org/10.1016/j.ins.2017.08.031