Standout Papers

Perspectives in machine learning for wildlife conservation 2022 2026 2023 2024300
  1. Perspectives in machine learning for wildlife conservation (2022)
    Devis Tuia, Benjamin Kellenberger et al. Nature Communications

Citation Impact

56 standout
Sub-graph 1 of 21

Citing Papers

Agriculture and environmental management through nanotechnology: Eco-friendly nanomaterial synthesis for soil-plant systems, food safety, and sustainability
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Top ten hazards to avoid when modeling species distributions: a didactic guide of assumptions, problems, and recommendations
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1 intermediate paper

Works of Benjamin Kellenberger being referenced

Perspectives in machine learning for wildlife conservation
2022 Standout
Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning
2018

Author Peers

Author Ecology CVPR Artificial Intelligence Media Technology Last Decade Papers Cites
Benjamin Kellenberger 407 340 122 211 24 1.1k
Andrea Baumeister 12 69
H. Bosscher 116 6 1 6 390
Robert E. Gallman 13 1 51 609
Fazel Mohammadi‐Moghadam 6 1 50 721
Steve May 1 3 42

All Works

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2026