Victor Francisco
Papers
1
Total Citations
14
H-Index
1
About
Victor Francisco is a leading researcher in the field of visual perception and motor cognition, with a particular focus on the use of 3D point-light displays to study human action recognition. His most notable contribution is the creation of the PLAViMoP database, a continuously assessed and collaborative dataset that provides a rich, standardized resource for researchers investigating how humans perceive biological motion. This work, published in 2022, has already garnered 14 citations, underscoring its rapid adoption and impact within the community. Francisco’s efforts have addressed a critical gap in the availability of high-quality, dynamic stimuli, enabling more robust and reproducible experiments in areas ranging from social cognition to clinical diagnostics. His commitment to open science and collaborative tool development has made him a key figure in advancing methodological standards for studying movement perception.
Research Focus
Key Achievements
Top Papers
- 1