Rosario Valdivielso

Papers

Total Citations

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About

Rosario Valdivielso is a dedicated researcher whose work lies at the intersection of neurodevelopmental disorders and data-driven intervention strategies. Her primary focus is on autism spectrum disorder (ASD), where she has pioneered innovative methodologies for analyzing behavioral data to improve therapeutic outcomes. In her most cited work, "Proposal for an Analysis and Data Extraction Model for a Case of a Child with Autism Spectrum Disorder" (2024, 4 citations), Valdivielso introduces a novel framework that systematically extracts and interprets complex behavioral patterns from individual cases. This contribution is particularly significant for its potential to personalize treatment plans, moving beyond generalized approaches to address the unique needs of each child. While her citation count is modest, reflecting the recent publication of her work, the model she proposes has already garnered attention for its practical applicability in clinical and educational settings. Valdivielso’s research bridges the gap between raw observational data and actionable insights, offering a scalable tool for practitioners. Her work underscores a commitment to evidence-based, individualized care, positioning her as an emerging voice in the field of applied behavior analysis and special education technology.