Author

Andrew J. Johnson

Florida Department of Agriculture and Consumer ServicesORCID 0000-0003-3139-2257Unclaimed ORCID profile · follow to get notified of new preprints

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Andrew J. Johnson1 paper

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Anthony I. CognatoiD· 1 shared Christopher MaraisiD· 1 shared Demian F. GómeziD· 1 shared Esteban Daniel Ceriani-NakamurakareiD· 1 shared Isabelle C. Stratton· 1 shared Jiří HulcriD· 1 shared Sarah M. SmithiD· 1 shared Victoria LantschneriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperEcology

Anthony I. CognatoORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintJun 4, 2026

Invasion history reconstruction and potential distribution of the ambrosia beetles Euwallacea fornicatus and E. perbrevis (Coleoptera: Scolytinae), two global emerging pests

Victoria Lantschner, Esteban Daniel Ceriani-Nakamurakare, Andrew J. Johnson…·Demian F. Gómez

This paper reconstructs the invasion history and potential distribution of two ambrosia beetles, revealing distinct climatic niches and higher invasion risk for E. fornicatus.

DOI 10.64898/2026.06.01.727051

statistical modelecology & biodiversity

𝕏 PostBluesky

EcologyPLoS ONEPeer-reviewedJun 5, 2025

Progress in Developing a Bark Beetle Identification Tool

Christopher Marais, Isabelle C. Stratton, Andrew J. Johnson, Jiří Hulcr

This paper introduces a MaxViT-based model for bark beetle genus identification from images, achieving high F1 scores and serving as a foundation for future tools in forest management and ecology.

6 citations

imagingdeep learning

𝕏 PostBluesky