Bret Larget
-
- Plant and animal studies 3
- Paleontology top 0.2%
- Evolution and Paleontology Studies 7
- Ecology top 0.1%
- Ecological Modeling top 0.5%
- Genetics top 0.1%
- Genetic diversity and population structure 18
- Genome Rearrangement Algorithms 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Evolution and Genetic Dynamics 3
-
- Genomics and Phylogenetic Studies 21
-
- Bayesian Methods and Mixture Models 7
- Co-authors
- John P. HuelsenbeckFredrik RonquistPaul van der MarkSebastian HöhnaMarc A. SuchardDaniel L. AyresAaron E. DarlingLiang Liu
- Journals
- Systematic Biology (7 papers)Evolution (4 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Bret Larget
40 papers receiving 24.9k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Ecology, Evolution, Behavior and Systematics 7.9k
- Paleontology 2.6k
- Ecology 6.8k
- Ecological Modeling 1.0k
- Genetics 6.1k
Countries citing papers authored by Bret Larget
This map shows the geographic impact of Bret Larget's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bret Larget with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bret Larget more than expected).
Fields of papers citing papers by Bret Larget
This network shows the impact of papers produced by Bret Larget. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bret Larget. The network helps show where Bret Larget may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bret Larget, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2017 | 15 | |
| 3 | 2017 | 4 | |
| 4 | 2016 | 21 | |
| 5 | 2016 | 31 | |
| 6 | 2015 | 67 | |
| 7 | 2014 | 29 | |
| 8 | MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Spacebreakdown → | 2012 | 20931 |
| 9 | 2011 | 6 | |
| 10 | 2011 | 48 | |
| 11 | 2010 | 32 | |
| 12 | 2010 | 318 | |
| 13 | 2009 | 78 | |
| 14 | 2009 | 4 | |
| 15 | 2007 | 27 | |
| 16 | 2005 | 23 | |
| 17 | 2004 | 49 | |
| 18 | Potential Applications and Pitfalls of Bayesian Inference of Phylogenybreakdown → | 2002 | 683 |
| 19 | 2000 | 108 | |
| 20 | 1999 | 390 |
About Bret Larget
Bret Larget is a scholar working on Paleontology, Genetics, Developmental Biology, Nature and Landscape Conservation and Molecular Biology, having authored 41 papers that have together received 25.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (21 papers), Genetic diversity and population structure (18 papers), Bayesian Methods and Mixture Models (7 papers), Evolution and Paleontology Studies (7 papers), Genome Rearrangement Algorithms (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Plant and animal studies (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (7.9k citations), Paleontology (2.6k citations), Ecology (6.8k citations), Ecological Modeling (1.0k citations) and Genetics (6.1k citations). Bret Larget has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include John P. Huelsenbeck, Fredrik Ronquist, Paul van der Mark, Sebastian Höhna, Marc A. Suchard, Daniel L. Ayres, Aaron E. Darling, Liang Liu, Maxim Teslenko and Richard E. Miller. Their work appears in journals such as Systematic Biology, Evolution, Applied and Environmental Microbiology, Molecular Biology and Evolution and Journal of Applied Probability.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.