Artificial intelligence applications in the field of streamflow: a bibliometric analysis of recent trends

In this study, a bibliometric analysis technique is used for performance analysis and science mapping of streamflow research in artificial intelligence (AI) applications. This paper aims to examine the current trends in the literature using the Scopus database over the last 37 years. RStudio Bibliometrix software was used to analyze the study of titles, keywords, abstracts, and full texts for the 3000 publications to find out trends in AI models, publication types, journals, citations, authors, countries, and regions. In addition, the highest frequency AI-related keyword is Artificial Neural Networks which have been used in a total of 25587 times. The most common publication type, at 82.1%, is journal articles and the rate of country production is 25% for China. In recent years, streamflow research studies have significantly increased their use of AI applications.