Vortex phase matching as a strategy for schooling in robots and in fish
2020 · Nature Communications · 216 citations
https://doi.org/10.1038/s41467-020-19086-0
M
Máté Nagy
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Máté Nagy is an academic researcher from Eötvös Loránd University. The author has contributed to research in topics: Animal Behavior and Reproduction & Distributed Control Multi-Agent Systems & Advanced Vision and Imaging. The author has an h-index of 23, co-authored 50 publications.
ORCID: 0000-0001-8817-087XPapers by this author
worksSMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers
2023 · Science Advances · 43 citations
https://doi.org/10.1126/sciadv.adf8068
Head-tracking of freely-behaving pigeons in a motion-capture system reveals the selective use of visual field regions
2022 · Scientific Reports · 38 citations
https://doi.org/10.1038/s41598-022-21931-9
Synergistic Benefits of Group Search in Rats
2020 · Current Biology · 32 citations
https://doi.org/10.1016/j.cub.2020.08.079
Revealing the mechanism and function underlying pairwise temporal coupling in collective motion
2024 · Nature Communications · 23 citations
https://doi.org/10.1038/s41467-024-48458-z
Multidimensional social influence drives leadership and composition-dependent success in octopus–fish hunting groups
2024 · Nature Ecology & Evolution · 22 citations
https://doi.org/10.1038/s41559-024-02525-2
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