A bibliometric analysis of earth science decision making for climate resilience: Linking data-driven models with SDG 13 and SDG 15

¹ Physics Education Program, UNESA University, 60231, Surabaya, Indonesia
² STEM Education, Thai Nguyen University of Education, Vietnam

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

Decision-making in earth science is essential in addressing global sustainability problems where empirical data and sophisticated modeling need to be combined with human judgment. A bibliometric analysis of Scopus data from 2019 to 2025 uncovers patterns impacting the research enterprise surrounding earth science decision-making, with special reference given to land conservation, land use and sustainability, climate hazards, climate impacts, and climate mitigation. Significant growth in research productivity Overall, the results reflect a dramatic surge in research output with 2022 obviously standing in US, China and UK appear to be major contributors at the global level. Recent developments in investigation indicate that big data, machine learning, and artificial intelligence can be effectively employed to help decision makers improve environmental decisions with science-based methods. SDG15 is interestingly the second most important SDGs target among all after SDG13. Nonetheless, over and beyond digitalization and artificial intelligence, the embedding of energy research in a broader sustainable development framework is still lacking. The results underscore the role of integrating technology with cognitive-and social-based decision-making in increasing access to, and responsiveness of, sustainability management. Therefore, future research agenda should explicitly include SDG 7 under the umbrella framework as an indispensable complementary framework.