Papers

8

Total Citations

166

H-Index

6

About

Juliane Lukas is a behavioral ecologist whose pioneering work sits at the intersection of animal behavior, robotics, and conservation. Her research focuses on social responsiveness, leadership dynamics, and behavioral syndromes in fish, particularly guppies and cave-dwelling species. Lukas is best known for her innovative use of biomimetic robots to study social interactions—a method that allows her to disentangle individual behavioral traits from the confounding effects of live social partners. Her most cited paper (57 citations) uses a robotic fish to reveal individual differences in social responsiveness in guppies, while another key study (37 citations) compares surface and cave-dwelling fish to understand how light environment shapes social behavior. She has also demonstrated that guppies preferentially follow larger robot leaders regardless of their own size (21 citations), and that live fish can learn to anticipate a robot’s movements (11 citations)—a finding with implications for understanding social cognition. Lukas’s work on consistent behavioral syndromes across seasons in an invasive fish (26 citations) directly informs invasion biology and dispersal ecology. Notably, she has championed the 3Rs principle (Replacement, Reduction, Refinement) in animal testing, arguing that biomimetic robots can reduce the use of live animals in behavioral research. Her interdisciplinary approach bridges robotics, ethology, and conservation, making her a leading voice in the ethical study of animal social behavior.

Research Focus

Key Achievements

6
H-Index
8
Papers
166
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Using a robotic fish to investigate individual differences in social responsiveness in the guppy
57 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Humboldt-Universität zu Berlin, Leibniz Institute of Freshwater Ecology and Inland Fisheries

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago