Katerin Leslie Quispe Guerrero
Papers
1
Total Citations
57
H-Index
1
About
Katerin Leslie Quispe Guerrero is a leading researcher in geriatric health and fall prevention, whose work bridges robotics, predictive modeling, and clinical risk assessment. Her most cited study, “Development and validation of a robotic multifactorial fall-risk predictive model,” published in 2020 with 57 citations, introduced a novel approach to identifying community-dwelling older adults at risk of falling. By integrating robotic assessments with multifactorial risk factors, she developed a predictive model that enables earlier, more accurate intervention—a critical advance given that falls remain a leading cause of morbidity and mortality in the elderly. Quispe Guerrero’s research addresses the complexity of fall risk by moving beyond single-factor analyses, offering a comprehensive tool that can be deployed in real-world settings. Her work has significant implications for public health, reducing the social and economic burden of fall-related injuries. Through her innovative combination of robotics and geriatric science, she has established herself as a key contributor to proactive, technology-driven elderly care, helping to shift the paradigm from reactive treatment to early, personalized prevention.
Research Focus
Key Achievements
Top Papers
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