Author

J. Galeano

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· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:plant (other)· 1

Frequent Co-Authors

J. Garcia-Algarra· 3 shared J. M. Pastor· 2 shared L. Stucchi· 2 shared D. Garcia-Callejas· 1 shared I. Bartomeus· 1 shared I. Civantos· 1 shared J. A. Cuesta· 1 shared J. M. Iriondo· 1 shared

Activity by Year

2017-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersEcology

J. Garcia-Algarra

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Author profile →

4 papers

Recent·Most cited

Prevalence of mutualism in a simple model of microbial co-evolution

L. Stucchi, J. Galeano, J. M. Pastor, J. M. Iriondo, J. A. Cuesta

This study uses a simple microbial co-evolution model to show that mutualism can emerge as a result of evolutionary transitions in ecological interactions.

bioRxiv · Sep 3, 2021 · PreprintEcology

Fine scale prediction of ecological community composition using a two-step sequential machine learning ensemble

I. Civantos, J. Garcia-Algarra, D. Garcia-Callejas, J. Galeano, O. Godoy, I. Bartomeus

This paper predicts fine-scale ecological community composition using a two-step machine learning ensemble, showing high spatial accuracy but limited temporal predictive power.

bioRxiv · Mar 24, 2021Ecology

A general model of population dynamics accounting for multiple kinds of interaction

L. Stucchi, J. M. Pastor, J. Garcia-Algarra, J. Galeano

The paper introduces a generalized population dynamics model that includes intraspecific interactions and polynomial terms to explain more complex ecological dynamics.

bioRxiv · May 22, 2020Ecology

A structural approach to disentangle the visualization of bipartite biological networks

J. Garcia-Algarra, J. M. M. Pastor, M. L. Mouronte, J. Galeano

The paper introduces two new visualization techniques for bipartite biological networks to improve readability by leveraging structural properties.

bioRxiv · Nov 21, 2017Ecology