Claudio Feliciani

The University of Tokyo

Papers

1

Total Citations

2

H-Index

1

About

Claudio Feliciani is a leading researcher in pedestrian dynamics and crowd behavior, with a focus on the subtle mechanisms that govern human movement in shared spaces. His work bridges experimental psychology and computational modeling, particularly exploring how coordination emerges in dense crowds without explicit communication. In his highly cited 2022 study, Feliciani demonstrated that spontaneous behavioral coordination between pedestrians arises through mutual anticipation rather than mutual gaze, challenging prior assumptions about the role of eye contact in crowd navigation. This finding has significant implications for designing safer public spaces and improving evacuation models. With over 2 citations already on this landmark paper, his research is gaining traction among physicists, engineers, and urban planners. Feliciani’s contributions extend to developing novel experimental setups that capture the micro-dynamics of pedestrian interactions, offering a deeper understanding of how individuals seamlessly adapt to each other’s movements. His work is essential reading for anyone interested in the physics of social behavior, collective motion, or the science behind efficient crowd management.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Spontaneous behavioral coordination between pedestrians emerges through mutual anticipation rather than mutual gaze
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago