Christoph Leuenberger

Genetics · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Genetics — 20 citations into it; #5,046 of 6,854 by trust here, #4,743 by citations
• Statistics and Probability — 13 citations into it; #2,869 of 12,932 by trust here, #3,411 by citations
• Molecular Biology — 12 citations into it
• Artificial Intelligence — 11 citations into it; #10,132 of 35,345 by trust here, #19,439 by citations

Whom Christoph Leuenberger trusts overall

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

1. MARK A. Beaumont
2. Scott Anthony Sisson
3. Laurent Excoffier
4. P. Bortot
5. Paul Marjoram
6. David J. Balding
7. Daniel Wegmann
8. Jean-Marie Cornuet
9. Tina Toni

Who trusts Christoph Leuenberger overall

1. MARK A. Beaumont
2. Arnaud Estoup
3. Laurent Excoffier
4. Scott Anthony Sisson
5. Paul Fearnhead
6. Michael U Gutmann
7. Jean-Marie Cornuet
8. Michael G. B. Blum
9. Christian P. Robert
10. Shigeki Nakagome

Papers from Christoph Leuenberger's perspective

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

1. Sequential Monte Carlo without likelihoods
2. Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood (Genetics)
3. Generating samples under a Wright-Fisher neutral model of genetic variation (Bioinform.)
4. Approximate Bayesian computation in population genetics.
5. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
6. Inference for Stereological Extremes
7. The Bayesian revolution in genetics (Nature reviews genetics)
8. Inferring coalescence times from DNA sequence data.
9. BMC Bioinformatics
10. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows (Molecular Ecology Resources)

Their papers

• Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood (2009) — 397 citations
• ABCtoolbox: a versatile toolkit for approximate Bayesian computations (2010) — 364 citations