Oscar E. Gaggiotti

Genetics · 2001–2018

A researcher in the Science corpus: 11 papers; trusts 70 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

• Genetics — 101 citations into it; #293 of 6,854 by trust here, #620 by citations
• Molecular Biology — 29 citations into it
• Ecology, Evolution, Behavior and Systematics — 21 citations into it
• Nature and Landscape Conservation — 20 citations into it; #4,344 of 6,941 by trust here, #1,913 by citations
• Statistics and Probability — 19 citations into it; #3,791 of 12,932 by trust here, #1,326 by citations
• Ecology — 16 citations into it; #9,268 of 10,717 by trust here, #9,865 by citations
• Artificial Intelligence — 15 citations into it; #24,232 of 35,345 by trust here, #13,760 by citations
• Plant Science — 11 citations into it

Whom Oscar E. Gaggiotti trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter J. Green
2. J. K. Pritchard
3. John D. Storey
4. MARK A. Beaumont
5. David J. Balding
6. Matthew Stephens
7. François Balloux
8. Daniel Falush
9. Jukka Corander
10. M. Whitlock

Who trusts Oscar E. Gaggiotti overall

1. MARK A. Beaumont
2. P. Meirmans
3. Eric Bazin
4. W. Lowe
5. R. Francis
6. M. Hellberg
7. Sean M. Hoban
8. F. Palstra
9. F. Allendorf
10. P. Villemereuil

Papers from Oscar E. Gaggiotti's perspective

Ordered by how strongly the researchers Oscar E. Gaggiotti trusts endorse each paper. Same corpus, a different order for every researcher.

1. Inference of population structure using multilocus genotype data. (Genetics)
2. A Genome-Scan Method to Identify Selected Loci Appropriate for Both Dominant and Codominant Markers: A Bayesian Perspective (Genetics)
3. The power and promise of population genomics: from genotyping to genome typing (Nature reviews genetics)
4. Identifying adaptive genetic divergence among populations from genome scans (Molecular Ecology)
5. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
6. Controlling the false discovery rate: a practical and powerful approach to multiple testing
7. Bayesian analysis of genetic differentiation between populations. (Genetics)
8. Interrogating a high-density SNP map for signatures of natural selection. (Genome Research)
9. Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach (Proceedings of the National Academy of Sciences of the United States of America)
10. Approximate Bayesian Computation in Evolution and Ecology

Their papers

• Approximate Bayesian Computation (ABC) in practice. (2010) — 1,224 citations
• Assignment methods: matching biological questions with appropriate techniques. (2005) — 776 citations
• Patterns of phenotypic plasticity and local adaptation in the wide elevation range of the alpine plant Arabis alpina (2018) — 85 citations
• A new FST‐based method to uncover local adaptation using environmental variables (2015) — 194 citations
• Computer simulations: tools for population and evolutionary genetics (2012) — 298 citations
• A Genome-Scan Method to Identify Selected Loci Appropriate for Both Dominant and Codominant Markers: A Bayesian Perspective (2008) — 2,698 citations
• INVITED REVIEW: What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity (2006) — 1,539 citations
• Ecology, genetics, and evolution of metapopulations (2004) — 1,041 citations
• 1 – Metapopulation Biology: Past, Present, and Future (2004) — 137 citations
• Metapopulation biology: past, present, and future (2004) — 89 citations
• Population dynamics and stage structure in a haploid‐diploid red seaweed, Gracilaria gracilis (2001) — 91 citations