Analysis of trends in applications of artificial intelligence in environmental science : A bibliometric study
*Md Mainul SkCorresponding authormainuls919@gmail.comDepartment of GeographyRajendra UniversityBalangir, Odisha, 767002, India0000-0001-9926-5831View full profile → , Md Kaiyum Shaikhshaikhkaiyum1991@gmail.comDepartment of Library and Information ScienceKalinga Institute of Industrial Technology (KIIT) Deemed to be UniversityBhubaneswar, Odisha, 751024, India0000-0002-3346-6275View full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 30 Jun 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- CJSIM-2024-12001
- Pages:
- 95–118
Abstract
Artificial intelligence (AI) has emerged as a powerful tool for addressing environmental challenges through advanced data analysis and predictive modelling. This study examines the global research landscape of AI applications in environmental science using a bibliometric approach. A total of 11,199 records were retrieved from the Scopus database, of which 9,504 English-language research articles published between 2014 and 2023 met the inclusion criteria and were analysed using Bibliometrix (RStudio), VOSviewer, and Microsoft Excel. The study analysed publication trends, leading authors, journals, countries, institutions, collaboration networks, keywords, and citation patterns. The findings reveal a rapid growth in research output, particularly after 2018, with China leading global publications. Sustainability, Science of the Total Environment, and Journal of Cleaner Production were the most productive journals, while Machine Learning was the most frequently occurring author keyword. The study provides a comprehensive overview of AI applications in environmental science by identifying major research trends, collaboration patterns, and emerging directions for future research.
Keywords
References
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