• Indrajit Poddar
• Ranjan Roy

Abstract This study presents a systematic literature review and bibliometric analysis of landslide risk assessment research, utilizing the Dimensions database to map the scientific landscape from the early 1990s to 2025. The analysis was conducted using the Bibliometrix R-package to evaluate annual scientific production, citation impact, and thematic evolution. The results reveal a significant paradigm shift in the field, characterized by a dramatic surge in publication volume starting in 2010, driven largely by the integration of emerging technologies. While early research focused on general hazard mapping and basic susceptibility, contemporary studies are dominated by "motor themes" such as artificial intelligence (AI), machine learning (ML), deep learning, and remote sensing. Geographically, the study identifies China as the leading contributor in both scientific production and international collaboration, followed by Italy, India, and the USA. Analysis using Bradford’s Law identifies Remote Sensing, Landslides, and Applied Sciences as the core journals disseminating this research. Furthermore, Lotka’s Law analysis highlights a high concentration of productivity among a small group of prolific authors, such as Wang Y and Zhang Y. The thematic evolution analysis confirms that the field has transitioned from qualitative descriptions to data-driven, predictive modeling, with "Explainable AI" emerging as a significant niche theme. This study provides a comprehensive overview of global research trends, offering valuable insights for future directions in landslide hazard mitigation and technological application.

Keywords: Landslide Risk Assessment; Bibliometric Analysis; Dimensions Database; Artificial Intelligence (AI); Machine Learning (ML); Remote Sensing; Landslide Susceptibility Mapping; Deep Learning

"Systematic Literature Review and Bibliometric Analysis of Landslide Risk Assessment Research: Insights from the Dimensions Database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 12, page no.b626-b652, December-2025, Available :http://www.jetir.org/papers/JETIR2512179.pdf

"Systematic Literature Review and Bibliometric Analysis of Landslide Risk Assessment Research: Insights from the Dimensions Database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 12, page no. ppb626-b652, December-2025, Available at : http://www.jetir.org/papers/JETIR2512179.pdf