Author

D. P. Hughes

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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Animal Behavior & Cognition· 1 Ecology· 1 Evolutionary Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:host-pathogen & immune response· 2 Assay:imaging· 2 Organism:multiple species· 2 Approach:statistical model· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

R. G. Loreto· 2 shared A. Kehs· 1 shared A. M. Ramcharan· 1 shared C. Kurze· 1 shared C. S. Moreau· 1 shared D. Z. Chen· 1 shared E. Colman· 1 shared E. M. Hanks· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 11 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersAnimal Behavior & Cognition

R. G. Loreto

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

EcologybioRxivAug 12, 2020

Social fluidity mobilizes contagion in human and animal populations

E. Colman, V. Colizza, E. M. Hanks…·S. Bansal

The paper models social fluidity's impact on disease transmission in human and animal populations, showing density- or frequency-dependent transmission based on social behavior.

DOI 10.7554/elife.62177

humanmultiple species

𝕏 PostBluesky

Plant BiologybioRxivPreprintJan 26, 2020

Evaluation the accuracy of a smartphone-based artificial intelligence system, PlantVillage Nuru, in identifying the viral diseases of cassava

L. M. Mrisho, N. Mbilinyi, M. Ndalahwa…·J. P. Legg

This study evaluates the accuracy of the PlantVillage Nuru AI system in identifying cassava viral diseases, finding it comparable to experts and significantly better than extension agents and farmers.

DOI 10.1101/2020.01.26.919449

plant (other)imaging

𝕏 PostBluesky

Animal Behavior & CognitionbioRxivOct 26, 2018

Computer vision and deep learning automates nocturnal rainforest ant tracking to provide insight into behavior and disease risk

N. Imirzian, Y. Zhang, C. Kurze…·D. P. Hughes

The paper uses computer vision and deep learning to track ant behavior in a rainforest, revealing walking patterns linked to disease risk.

DOI 10.1038/s41598-019-49655-3

multiple speciesimaging

𝕏 PostBluesky

Evolutionary BiologybioRxivNov 14, 2017

Evidence for convergent evolution of host parasitic manipulation in response to environmental conditions

R. G. Loreto, J. P. M. Araujo, R. M. Kepler…·D. P. Hughes

The paper shows that parasitic fungi manipulate ants to bite twigs in temperate forests due to environmental conditions, indicating convergent evolution of host behavior.

DOI 10.1111/evo.13489

statistical modelhost-pathogen & immune response

𝕏 PostBluesky