Investigating the Trend of Scientific Research on Artificial Intelligence in Water Management: A Scientometric Approach

Vara, Narjes; Namvar, Zahra

doi:10.22048/wss.2026.580407.1024

Investigating the Trend of Scientific Research on Artificial Intelligence in Water Management: A Scientometric Approach

Articles in Press

Document Type : Review Article

Authors

Narjes Vara

Zahra Namvar

Islamic World Science and Technology Monitoring and Citation Institute (ISC), Shiraz, Iran.

10.22048/wss.2026.580407.1024

Abstract

Developments stemming from artificial intelligence technologies have opened novel perspectives in natural resource management, particularly concerning water resources. This study aims to conduct a scientometric analysis and delineate the scientific landscape of research on artificial intelligence in the domain of water management. The research adopts a descriptive methodology based on a scientometric approach and employs co-word analysis techniques. The population of the study comprises all articles indexed in the Scopus database that address water management and artificial intelligence. The research data were extracted in textual format from the Scopus database and, after screening, were analyzed using VOSviewer software. The findings indicate that from inception to May 2025, a total of 3,657 documents related to artificial intelligence in water management have been indexed in the Scopus database, with this trend showing considerable growth since 2014. Over 90% of the articles have been published in English. Among the 132 countries contributing scientific articles in this field, Iran ranks fourth with 319 articles, underscoring the prominent role of Iranian researchers in advancing studies on artificial intelligence in water resource management.

Keywords

Artificial Intelligence

Water Management

Scientometrics

Scientific Publications

Visualization

Subjects