Integrating IoT and Water Quality: A Bibliometric Analysis

Abstract

Water quality is a crucial aspect of environmental health, affecting ecosystems, human health, and economic activities. Integrating the Internet of Things (IoT) into water quality monitoring represents a significant advancement, providing real-time, continuous data on various water quality parameters. This paper presents a comprehensive bibliometric analysis of the literature on water quality and IoT from 2014 to July 2024, utilizing data from the Scopus database. Our analysis identifies key trends, influential studies, authors, sources, and geographic contributions. Results indicate a significant increase in publications and citations, reflecting growing interest and advancements in this field. The United States, China, and India are leading contributors, with notable research output and impact. Key themes include the development of IoT-based sensors, AI, and ML technologies for water quality monitoring, yet challenges in practical deployment and the need for more inclusive research persist. This analysis provides valuable insights into the evolution of research in water quality monitoring and highlights opportunities for future studies to address existing gaps and enhance global water management practices.