Author

J. Niedballa

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

A. Wilting· 3 shared A. Tilker· 2 shared A. Nguyen· 1 shared A. Planillo· 1 shared B. Mugerwa· 1 shared B. R. Rawson· 1 shared C. Fiderer· 1 shared D. Sheil· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersEcology

A. Wilting

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Addressing the Southeast Asian snaring crisis: impact of 11 years of snare removal in a biodiversity hotspot

A. Tilker, J. Niedballa, H. L. Viet, J. F. Abrams, L. Marescot, N. Wilkinson, B. R. Rawson, R. Sollmann, A. Wilting

This study evaluates the impact of 11 years of snare removal in two Vietnamese protected areas, finding significant but incomplete reductions in snare occupancy and highlighting the need for a multifaceted approach to combat snaring.

bioRxiv · Jan 26, 2023Ecology

Global disparity of research allocation and the Aichi biodiversity conservation targets

B. Mugerwa, J. Niedballa, A. Planillo, D. Sheil, S. Kramer-Schadt, A. Wilting

The paper assesses global research allocation on biodiversity, showing it often misses key conservation areas and is driven by country income, biome, mammal richness, and accessibility.

bioRxiv · Apr 7, 2022 · PreprintEcology

imageseg: an R package for deep learning-based image segmentation

J. Niedballa, J. Axtner, T. F. Döbert, A. Tilker, A. Nguyen, S. T. Wong, C. Fiderer, M. Heurich, A. Wilting

The paper introduces an R package for deep learning-based image segmentation, demonstrating its utility in ecological applications with high accuracy models for forest structure.

bioRxiv · Dec 16, 2021Ecology