ANÁLISIS BIBLIOMÉTRICO DEL USO DE HERRAMIENTAS SIG EN ESCENARIOS DE DESLIZAMIENTOS EN BRASIL
This research consists of a systematic review of articles that used Geographic Information Systems (GIS) as a way to map landslide-prone areas in Brazil or that experienced this situation. Data available for analysis in the Web Of Science and Scopus search collections were used, and the VOSViewer software was used. A methodology based on exclusion filters was applied, which allowed us to perceive a multidisciplinary approach to the theme and a concentration of published works in areas close to Serra do Mar. The results indicate a remarkable growth in this topic, with more than 60% of the papers published in the last 5 years and which were driven by the growth of research involving landslide predictions through Artificial Intelligence (AI) tools.
Authors
- Luis De Oro Arenas (ORCID: https://orcid.org/0000-0001-5160-606X)
- Roberto Wágner Lourenço (ORCID: https://orcid.org/0000-0002-5234-8944)
- Darllan Collins da Cunha e Silva (ORCID: https://orcid.org/0000-0003-3280-0478)
- Arthur Pereira dos Santos (ORCID: https://orcid.org/0000-0002-1913-3562)
Institutions
- Universidade Estadual Paulista (Unesp) (BR)
Publication Details
- Journal
- Revista Geográfica de América Central
- Published
- 2025-01-28
- DOI
- https://doi.org/10.15359/rgac.74-1.16
- Primary Topic
- Tailings Management and Properties
- Type
- article
- Field-Weighted Citation Impact
- 0.00