Papers

6

Total Citations

152

H-Index

4

About

Marina Papadopoulou is a leading researcher in collective animal behavior, with a focus on how groups of birds—especially pigeons and starlings—coordinate escape maneuvers under predation. Her work combines field observations, computational modeling, and bio-inspired robotics to uncover the simple local rules that give rise to complex group-level patterns. Her most influential study, “Self-organization of collective escape in pigeon flocks” (2022, 68 citations), demonstrates that collective evasion emerges from self-organized interactions rather than centralized control. A companion paper on “Emergence of splits and collective turns in pigeon flocks under predation” (2022, 47 citations) further explores the behavioral rules governing these patterns. Papadopoulou has also pioneered biohybrid approaches, using robots to actively interact with animals—as seen in her 2023 paper on “Biologically inspired herding of animal groups by robots” (27 citations). Her recent work, “Towards a mechanistic understanding of collective escape in starlings” (2024), extends these insights to larger, more dynamic flocks. With a growing citation record and innovative methodologies, Papadopoulou is shaping how we understand and technologically engage with the collective intelligence of animal groups.

Research Focus

Key Achievements

4
H-Index
6
Papers
152
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Self-organization of collective escape in pigeon flocks
68 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: University of Groningen, Swansea University, Università degli Studi della Tuscia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago