Author

R. Cristofari

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· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Approach:statistical model· 2 Assay:behavioral assay· 1 Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Assay:imaging· 1 Assay:metagenomics· 1 Organism:multiple species· 1

Frequent Co-Authors

C. Le Bohec· 3 shared A. Houstin· 2 shared A. Krellenstein· 2 shared A. Winterl· 2 shared D. P. Zitterbart· 2 shared E. Trucchi· 2 shared T. Barracho· 2 shared A. Mainka· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersEcology

C. Le Bohec

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

EcologybioRxivPreprintAug 24, 2023

Remote sensing of emperor penguin abundance and breeding success

A. Winterl, S. Richter, A. Houstin…·D. P. Zitterbart

This paper develops a phenological model to predict emperor penguin breeding pairs and chicks from sparse satellite data, improving population monitoring in remote areas.

DOI 10.1101/2023.08.24.554580

non-human primateimaging

EcologyMethods in Ecology and EvolutionPeer-reviewedAug 22, 2023

RFIDeep: Unfolding the Potential of Deep Learning forRadio-Frequency Identification

G. Bardon, R. Cristofari, A. Winterl…·C. Le Bohec

RFIDeep uses deep learning to analyze RFID mark-recapture data and accurately determine breeding status, phenology, and success in seabirds.

DOI 10.1111/2041-210x.14187

multiple speciesdeep learning

Evolutionary BiologyNature Climate ChangePeer-reviewedMar 1, 2018

Climate-driven range shifts in fragmented ecosystems

R. Cristofari, X. Liu, F. Bonadonna…·E. Trucchi

The paper identifies vulnerable areas and cold refugia for a top-predator in fragmented ecosystems by integrating genomic, ecological, behavioural, and environmental models.

DOI 10.1038/s41558-018-0084-2

metagenomicsproteomics