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

Click to filter author papers

Ecology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

3 shared papersEcology

C. Le Bohec

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Remote sensing of emperor penguin abundance and breeding success

A. Winterl, S. Richter, A. Houstin, T. Barracho, M. Boureau, C. Cornec, D. Couet, R. Cristofari, C. Eiselt, B. Fabry, A. Krellenstein, C. Mark, A. Mainka, D. Menard, J. Morinay, , 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.

bioRxiv · Aug 24, 2023 · PreprintEcology

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

G. Bardon, R. Cristofari, A. Winterl, T. Barracho, M. Benoiste, C. Ceresa, N. Chatelain, J. Courtecuisse, F. A. N. Fernandes, M. Gauthier-Clerc, J.-P. Gendner, Y. Handrich, A. Houstin, A. Krellenstein, N. Lecomte, , C. Le Bohec

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

bioRxiv · Mar 25, 2023Ecology

Climate-driven range shifts in fragmented ecosystems

R. Cristofari, X. Liu, F. Bonadonna, Y. Cherel, P. Pistorius, Y. Le Maho, V. Raybaud, N. C. Stenseth, C. Le Bohec, 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.

Nature Climate Change · Mar 1, 2018Peer-reviewedEvolutionary Biology