Gozde Ustuner

New York University

Papers

1

Total Citations

57

H-Index

1

About

Dr. Gozde Ustuner is a leading researcher in collective animal behavior and computational ethology, whose work bridges biology and machine learning to decode the hidden patterns of group movement. Her most-cited paper, "Collective behaviour across animal species" (2014, 57 citations), introduces a groundbreaking geometric framework that uses the isometric mapping algorithm to define, detect, and classify diverse collective behaviors across species—from fish schools to bird flocks. This innovative approach demonstrates how machine learning can reveal the underlying structure of complex group dynamics, offering a universal language for studying social coordination in nature. Dr. Ustuner’s contributions have opened new avenues for understanding how simple individual rules give rise to emergent group patterns, with implications for robotics, swarm intelligence, and conservation. Her work is widely recognized for its interdisciplinary impact, inspiring researchers to apply geometric and computational tools to biological systems. By transforming how we observe and interpret collective behavior, Dr. Ustuner continues to shape the future of animal behavior research, making her a vital voice in the growing field of data-driven ecology.

Research Focus

Key Achievements

1
H-Index
1
Papers
57
Total Citations
57
Avg Citations/Paper
🏆 Most Cited Paper
Collective behaviour across animal species
57 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: New York University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago