Santiago Ruiz-Navas

Papers

Total Citations

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About

Santiago Ruiz-Navas is a researcher at the intersection of artificial intelligence and gerontechnology, with a primary focus on supporting elderly independent living (EIL) through AI-driven solutions. His most-cited work, "An Empirical Analysis of AI Related Scientific Knowledge and Technologies To Support Elderly Independent Living" (2021, 4 citations), provides a foundational empirical analysis of how AI technologies—from monitoring systems to cognitive assistants—can address the social and economic challenges of an aging population. This study systematically maps the landscape of AI applications for elder care, highlighting gaps in current research and practical implementation. Ruiz-Navas’s contribution lies in bridging AI scientific knowledge with real-world assistive technologies, offering a framework for developing scalable, emotionally and physically supportive systems. His work is particularly notable for its interdisciplinary approach, combining technical AI analysis with insights from healthcare and social policy. While his citation count reflects an emerging career, his research addresses a critical global need, positioning him as a promising voice in the growing field of AI for aging populations. His findings serve as a valuable resource for students and researchers seeking to design inclusive, technology-enabled solutions for independent living.