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

ABSTRACT

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

Graphical abstract

KEYWORDS:

• artificial intelligence
• streamflow
• bibliometric
• research trends
• Scopus
• RStudio Bibliometrix

Editor A. Fiori; Associate Editor K. Ryberg

Editor A. Fiori; Associate Editor K. Ryberg

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author declares that no funds, grants, or other support were received during the preparation of this manuscript.