Author

D. Rubolini

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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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Organism:multiple species· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Bushuev· 1 shared A. Charmantier· 1 shared A. Costanzo· 1 shared A. Kerimov· 1 shared A. Romano· 1 shared B. Doligez· 1 shared B. J. Smith· 1 shared B. Kempenaers· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperEvolutionary Biology

A. Bushuev

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Eco-evolutionary drivers of avian migratory connectivity

N. Fattorini, A. Costanzo, A. Romano, D. Rubolini, S. Baillie, F. Bairlein, F. Spina, R. Ambrosini

This study identifies geography and migration distance as key predictors of migratory connectivity in birds, revealing evolutionary flexibility and intraspecific variability in migration strategies.

bioRxiv · Jul 4, 2022Ecology

The great tit HapMap project: a continental-scale analysis of genomic variation in a songbird

L. G. Spurgin, M. Bosse, F. Adriaensen, T. Albayrak, C. Barboutis, E. Belda, A. Bushuev, J. Cecere, A. Charmantier, M. Cichon, N. J. Dingemanse, B. Doligez, T. Eeva, K. E. Erikstad, V. Federov, , Sheld

This study analyzes genomic variation across 647 great tit individuals to understand how environmental and demographic factors shape genetic diversity and differentiation.

bioRxiv · Dec 9, 2020Evolutionary Biology

Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers

S. Picardi, B. J. Smith, M. E. Boone, P. C. Frederick, J. G. Cecere, D. Rubolini, L. Serra, S. Pirrello, R. R. Borkhataria, M. Basille

This paper introduces a method to detect reproductive events and estimate their fate in central place foragers using GPS-tracking data and Bayesian modeling.

bioRxiv · Jan 17, 2020Ecology