Jorge A. Santos
Papers
1
Total Citations
6
H-Index
1
About
Jorge A. Santos is a behavioral scientist and visualization researcher whose work bridges the gap between complex data analysis and human behavior. His primary research areas include multivariate time series visualization, behavioral science methodology, and the development of open-source tools for experimental data exploration. Santos's most notable contribution is the creation of MUVTIME (Multivariate Time Series Visualizer for Behavioral Science), a powerful MATLAB-based tool designed to help researchers visually explore and analyze large, multimodal datasets common in behavioral studies. Published in 2016, this work has garnered 6 citations and remains a foundational reference for scientists seeking accessible, interactive methods to interpret temporal behavioral data. By addressing the growing need for intuitive visualization in data-driven behavioral science, Santos has provided a practical solution that enhances pattern recognition and hypothesis generation. His work exemplifies the critical intersection of computational tool-building and empirical research, making complex time-series data more interpretable for students and seasoned researchers alike.
Research Focus
Key Achievements
Top Papers
- 1MUVTIME: A Multivariate Time Series Visualizer for Behavioral Science6 citations · 2016