The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
A scientometric analysis and visualization of global green building research
Open accessAbstract
Abstract In this paper, the first inclusive scientometric review of global green building research (GGBR) is presented. The aim of this review study is to systematically analyze and visualize the state-of-the-art of the GGBR. To this end, a quantitative method – science mapping – was employed to analyze 6867 related bibliographic records retrieved from Scopus. The research findings are instructive in identifying and understanding trends and patterns, including core research areas, journals, institutions, and countries, and how these are linked, within the existing body of literature on green building (GB). They also assist in recognizing the gaps and deficiencies in the current GGBR and thus useful and promising directions for future research. This research has implications for journal editors, practitioners, policy makers, researchers, and research institutions, e.g., universities. It can help these stakeholders make vital contributions to developing and accruing intellectual wealth to the GB area, while providing them with a detailed understanding of the trend and status quo of the GGBR.
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Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
Gephi: An Open Source Software for Exploring and Manipulating Networks
Bastian, M., Heymann, S., & Jacomy, M. (2009) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v3i1.13937 · Cited by 11,675
Cannibals with forks: the triple bottom line of 21st century business
(1999) · Choice Reviews Online · doi:10.5860/choice.36-3997 · Cited by 9,014
Authoritative sources in a hyperlinked environment
Kleinberg, J. M. (1999) · Journal of the ACM · doi:10.1145/324133.324140 · Cited by 8,959
Visualizing Bibliometric Networks
van Eck, N. J., & Waltman, L. (2014) · Measuring Scholarly Impact · doi:10.1007/978-3-319-10377-8_13 · Cited by 3,342
Science mapping software tools: Review, analysis, and cooperative study among tools
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21525 · Cited by 3,242
Science Mapping: A Systematic Review of the Literature
Chen, C. (2017) · Journal of Data and Information Science · doi:10.1515/jdis-2017-0006 · Cited by 1,925
Ramos‐Rodríguez, A., & Ruíz‐Navarro, J. (2004) · Strategic Management Journal · doi:10.1002/smj.397 · Cited by 1,626
Green building research–current status and future agenda: A review
Zuo, J., & Zhao, Z.-Y. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.10.021 · Cited by 1,194
The Literature of Bibliometrics, Scientometrics, and Informetrics
Hood, W. W., & Wilson, C. S. (2001) · Scientometrics · doi:10.1023/a:1017919924342 · Cited by 981
Cited by
Circular economy in the building and construction sector: a scientific evolution analysis
Norouzi, M., Chàfer, M., Cabeza, L. F., Jiménez, L., & Boer, D. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.102704 · Cited by 482
Metadata
- Authors
- Darko, A., Chan, A. P. C., Huo, X., & Owusu-Manu, D.-G.
- Venue
- Building and Environment
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 149
- Pages
- 501-511
- ISSN
- 0360-1323 (ISSN-L)
- OpenAlex
- W2907161871
- Cited by
- 320
- References
- 51
- FWCI
- 18.00
- Type
- journal article
- Language
- en
- Open access
- green
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- Darko, A., Chan, A. P. C., Huo, X., & Owusu-Manu, D.-G. (2019). A scientometric analysis and visualization of global green building research. Building and Environment. https://doi.org/10.1016/j.buildenv.2018.12.059
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
