Eynat Gal

Papers

Total Citations

522

H-Index

About

Eynat Gal is a leading researcher in autism spectrum disorders (ASD), with a particular focus on technology-based interventions and social-emotional development. Her most-cited work, a 2013 meta-analysis of innovative technology-based interventions for ASD (522 citations), systematically evaluated computer programs, virtual reality, and other digital tools, demonstrating their potential to enhance communication and social skills in children with autism. This seminal study established her as a key voice in the integration of technology into therapeutic practices. Building on this foundation, Gal has explored the role of emotional understanding and peer relationships in ASD, contributing to evidence-based frameworks that prioritize both cognitive and affective dimensions of intervention. Her research has been widely cited by scholars in psychology, education, and human-computer interaction, reflecting its interdisciplinary impact. Gal’s work not only advances theoretical knowledge but also provides practical guidance for educators and clinicians, making her a pivotal figure in the ongoing effort to improve quality of life for individuals on the autism spectrum.