About

Juan M. Corchado is a prolific researcher whose work spans artificial intelligence, multi-agent systems, robotics, and cognitive computing, with growing contributions to AI applications in urban planning, healthcare, and elderly care. His research has garnered significant academic attention, with his 2020 study on AI technologies in urban planning and development accumulating 200 citations, establishing him as a key voice in understanding how AI is perceived and integrated into real-world planning contexts. Corchado's foundational contributions to multi-agent systems, particularly his 2006 work on hybrid multi-agent architectures as real-time problem-solving models (110 citations), helped shape intelligent system design. His 2007 paper on execution time planning for the ARTIS agent architecture further cemented his expertise in building responsive, adaptive AI systems. Beyond theoretical frameworks, Corchado has engaged with applied robotics, contributing to anthropomorphic kinematics, mechatronic systems, and non-destructive industrial testing. His more recent work reflects a humanistic turn, with systematic reviews on gamification for elderly care (124 citations) and artificial cognitive systems for rehabilitation (2022), demonstrating a commitment to socially impactful AI. Across disciplines, his research consistently bridges technical innovation with meaningful human application.

Research Focus

Key Achievements

13
H-Index
16
Papers
811
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?
200 citations · 2020
📈 Most Prolific Year: 2017 (5 Papers)
🤝 Key Collaborators: 46
🏛 Institutions: Universidad de Salamanca, University of Campania "Luigi Vanvitelli", Florida Institute of Technology, AIR Institute, Universidad de Burgos

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago