Artificial intelligence has emerged as a transformative tool in the rapidly evolving landscape of environmental sustainability. It has enabled significant advancements in smart, data-driven decision-making across sectors such as sustainable agriculture, renewable energy systems, disaster management, and climate change mitigation. This study conducts a scientometric analysis of peer-reviewed publications indexed in the Scopus database from 2015 to 2024. Publication and citation analysis, document co-citation networks, and thematic clustering were employed to explore knowledge patterns and identify emerging research themes. Additionally, the study also analyzed highly cited articles in each domain to uncover key intellectual contributions that have shaped the field. Results indicate a substantial increase in AI-based research activity, particularly in the climate and energy sectors, reflecting strong interdisciplinary integration. We observed bursts in citation activity for AI-driven approaches like disaster detection, digital twins, explainable AI, generative models, and load forecasting. The analysis further identifies the growing role of AI-IoT integration in real-time environmental sensing, precision irrigation, disaster early warning systems, and adaptive energy forecasting signaling in emergence as a critical future direction. Additionally, the study highlights Quantum AI hybrid models as a promising pathway for solving high-complexity environmental challenges. Overall, the findings provide valuable insights into the intellectual structure, thematic evolution, and future research trajectories shaping AI’s contribution to sustainable environmental systems.

Abstract The biggest challenges for several universities and educational institutions throughout the COVID‐19 pandemic are online and e‐learning infrastructure availability. The incorporation of Information and Communication Technologies in the domain of disaster management is one such dimension, which focuses on the sustainability of human beings regarding the handling of unexpected pandemics. Therefore, it is important to evaluate the panic well‐being of the student in this situation. Moreover, virtual reality technology provides a virtual classroom environment that improves the skill and knowledge of the students at remote sites. In this paper, a fog‐assisted cyber physical system is proposed that deals with the various aspects of the panic well‐being of the student, including the virtual reality platform for remote learning. The proposed system utilizes the concepts of physical and cyberspace. The physical space facilitates real‐time data acquisition, and cyberspace determines and predicts the panic well‐being of the student. The performance assessment of the proposed model acknowledges the efficiency of the virtual learning system and panic well‐being determination and prediction. The proposed system also discussed a virtual learning system that provides a virtual classroom environment to the students at remote sites and reduces the panic due to stressful times during the COVID‐19 pandemic.

Information and Communication Technologies (ICT) are becoming indispensable nowadays for the healthcare industry. The utilization of ICT in healthcare services has accelerated even faster after the commencement of the COVID-19 outbreak. This study aims to perform a scientometric analysis of scholarly literature on airborne diseases in the discipline of science and technology. It explores the recent advancement of internet technologies in healthcare to control the prevalence of deadly airborne illnesses by applying analytical approaches. It presents publication trends, citation structure, influential sources, co-citation, and co-occurrence network analysis using the CiteSpace tool. It identifies the important research topics, current research hotspots, most active research areas, and leading technologies in this scientific knowledge domain. It inferred significant results from analyses that will benefit researchers and the academic fraternity across the globe to understand the evolving paths and recent scientific progress of ICT in airborne disease management.