Visualization of Prediction Methods for Wildfire Modeling Using CiteSpace: A Bibliometric Analysis

Wildfire is a growing concern worldwide with significant impacts on human lives and the environment. This study aimed to provide an overview of current trends research gaps in wildfire prediction by conducting bibliometric analysis papers Web Science Scopus databases. CiteSpace was employed analyze co-occurrence keywords, identify clusters, detect emerging trends. The results showed that most frequently occurring keywords were “wildfire”, “prediction”, “model” top three clusters related “air quality”, “history”, “validation”. revealed focus vegetation, precipitation, land use, trends, random forest algorithm. contributes better understanding provides recommendations for future research, such as incorporating new data sources using advanced techniques.