Olga Chernomor
Molecular Biology · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 40 citations into it; #11,401 of 17,773 by trust here, #8,570 by citations
- Genetics — 30 citations into it; #4,057 of 6,854 by trust here, #2,390 by citations
- Paleontology — 13 citations into it; #1,324 of 1,427 by trust here, #407 by citations
- Artificial Intelligence — 8 citations into it
- Plant Science — 5 citations into it
Whom Olga Chernomor trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexandros Stamatakis
- Bui Quang Minh
- Si Quang Le
- Lam-Tung Nguyen
- A. von Haeseler
- Olaf R. P. Bininda-Emonds
- Frédéric Delsuc
- Joseph Felsenstein
- Olivier Gascuel
- Heiko A. Schmidt
Who trusts Olga Chernomor overall
- Bui Quang Minh
- Xiaofan Zhou
- Diep Thi Hoang
- Audrey A. Burnim
- Xing‐Xing Shen
- Robert C. Edgar
- Heiko A. Schmidt
- A. von Haeseler
Papers from Olga Chernomor's perspective
Ordered by how strongly the researchers Olga Chernomor trusts endorse each paper. Same corpus, a different order for every researcher.
- Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
- A new method for calculating evolutionary substitution rates (Journal of Molecular Evolution)
- New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.
- RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees (Bioinform.)
- A rapid bootstrap algorithm for the RAxML Web servers. (Systematic Biology)
- RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
- RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies
- Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
- Approximate likelihood-ratio test for branches: A fast, accurate, and powerful alternative. (Systematic Biology)
- Inferring ancient divergences requires genes with strong phylogenetic signals (Nature)
Their papers
- IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era (2019) — 13,735 citations
- UFBoot2: Improving the Ultrafast Bootstrap Approximation (2017) — 8,954 citations
- Terrace Aware Data Structure for Phylogenomic Inference from Supermatrices (2016) — 1,872 citations
- Corrigendum to: IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era (2020) — 402 citations