Back to Search
Start Over
Exploring research on ecotechnology through artificial intelligence and bibliometric maps
- Source :
- Environmental Science and Ecotechnology, Vol 21, Iss , Pp 100386- (2024)
- Publication Year :
- 2024
- Publisher :
- Elsevier, 2024.
-
Abstract
- Ecotechnology, quintessential for crafting sustainable socio-environmental strategies, remains tantalizingly uncharted. Our analysis, steered by the nuances of machine learning and augmented by bibliometric insights, delineates the expansive terrain of this domain, elucidates pivotal research themes and conundrums, and discerns the vanguard nations in this field. Furthermore, we deftly connect our discoveries to the United Nations' 2030 Sustainable Development Goals, thereby accentuating the profound societal ramifications of ecotechnology.
Details
- Language :
- English
- ISSN :
- 26664984
- Volume :
- 21
- Issue :
- 100386-
- Database :
- Directory of Open Access Journals
- Journal :
- Environmental Science and Ecotechnology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4f1cb1ad933d4ea48a9c05695144bba7
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.ese.2023.100386