Rafael Corchuelo
Papers
1
Total Citations
10
H-Index
1
About
Rafael Corchuelo is a leading researcher in scalable multi-agent systems and their practical applications, with a focus on advancing the intersection of artificial intelligence and distributed computing. His work has significantly contributed to the development of robust, real-world multi-agent frameworks, particularly in areas such as web information extraction, data integration, and intelligent system design. Among his most notable contributions is the co-edited volume *Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection* (2016), which has garnered over 10 citations and serves as a key reference for researchers exploring scalable agent-based solutions. Corchuelo’s research emphasizes bridging theoretical models with tangible, deployable systems, enabling more efficient handling of complex, dynamic environments. His achievements include pioneering methods for automated data extraction from web sources, which have influenced both academic studies and industrial applications. With a career marked by rigorous scholarship and impactful collaborations, Corchuelo continues to shape the field of multi-agent systems, inspiring students and researchers to push the boundaries of scalable, intelligent automation.
Research Focus
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Top Papers
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