The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
A scientometric review of global research on sustainability and sustainable development
Open accessAbstract
Abstract The concept of sustainable development has gained worldwide attention in recent years which had enhanced its implementation. However, few studies have attempted to map the global research of sustainability. This study utilizes scientometric review of global trend and structure of sustainability research in 1991–2016 using techniques such as co-author, co-word, co-citation, clusters, and geospatial analyses. A total of 2094 bibliographic records from the Web of Science database were analyzed to generate the study's research power networks and geospatial map. The findings reveal an evolution of the research field from the definition of its concepts in the Brundtland Commission report to the recent development of models and sustainability indicators. The most significant contributions in sustainability research have originated primarily from the United States, China, United Kingdom and Canada. Also, existing studies in sustainability research focus mainly on subject categories of environmental sciences, green & sustainable science technology, civil engineering, and construction & building technology. Emerging trends in sustainability research were sustainable urban development, sustainability indicators, water management, environmental assessment, public policy, etc.; while the study generated 21 co-citation clusters. This study provides its readers with an extensive understanding of the salient research themes, trends and pattern of sustainability research worldwide.
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Cites
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Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
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A safe operating space for humanity
Rockström, J., Steffen, W., Noone, K., Persson, Å., Chapin, F. S., Lambin, E. F., Lenton, T. M., Scheffer, M., Folke, C., Schellnhuber, H. J., et al. (2009) · Nature · doi:10.1038/461472a · Cited by 13,333
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A Set of Measures of Centrality Based on Betweenness
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Cannibals with forks: the triple bottom line of 21st century business
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From a literature review to a conceptual framework for sustainable supply chain management
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Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Nishant, R., Kennedy, M., & Corbett, J. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102104 · Cited by 1,203
A systematic review on green human resource management: Implications for social sustainability
Amrutha, V. N., & Geetha, S. N. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119131 · Cited by 685
Khan, I. S., Ahmad, M. O., & Majava, J. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126655 · Cited by 489
Song, M., Fisher, R., & Kwoh, Y. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.07.055 · Cited by 428
Application of Nanoparticles Alleviates Heavy Metals Stress and Promotes Plant Growth: An Overview
Zhou, P., Adeel, M., Shakoor, N., Guo, M., Hao, Y., Azeem, I., Li, M., Liu, M., & Rui, Y. (2020) · Nanomaterials · doi:10.3390/nano11010026 · Cited by 304
Metadata
- Authors
- Olawumi, T. O., & Chan, D. W. M.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 183
- Pages
- 231-250
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2788685862
- Cited by
- 816
- References
- 100
- FWCI
- 16.57
- Type
- journal article
- Language
- en
- Open access
- green
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- Olawumi, T. O., & Chan, D. W. M. (2018). A scientometric review of global research on sustainability and sustainable development. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.02.162
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
