Daniel L. Ayres
Impact in
-
- Plant and animal studies
- Plant Diversity and Evolution
- Paleontology top 0.2%
Papers in
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- Evolution and Paleontology Studies 3
- Genetics 6
- Genetic diversity and population structure 4
- Evolution and Genetic Dynamics 2
- Co-authors
- Marc A. SuchardJohn P. HuelsenbeckAaron E. DarlingFredrik RonquistMaxim TeslenkoSebastian HöhnaBret LargetPaul van der Mark
- Journals
- Systematic Biology (3 papers)Virus Evolution (1 paper)Frontiers in Zoology (1 paper)Harmful Algae (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Daniel L. Ayres
9 papers receiving 23.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Ecology, Evolution, Behavior and Systematics 7.3k
- Paleontology 2.1k
- Ecology 6.3k
- Ecological Modeling 1.0k
- Genetics 5.2k
Countries citing papers authored by Daniel L. Ayres
This map shows the geographic impact of Daniel L. Ayres'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 Daniel L. Ayres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Ayres more than expected).
Fields of papers citing papers by Daniel L. Ayres
This network shows the impact of papers produced by Daniel L. Ayres. 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 Daniel L. Ayres. The network helps show where Daniel L. Ayres may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Ayres, 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 | 2022 | 7 | |
| 2 | 2019 | 9 | |
| 3 | 2019 | 126 | |
| 4 | Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10 Hit paper breakdown → | 2018 | 2288 |
| 5 | 2018 | 37 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 6 | |
| 8 | MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space Hit paper breakdown → | 2012 | 20931 |
| 9 | BEAGLE: An Application Programming Interface and High-Performance Computing Library for Statistical Phylogenetics Hit paper breakdown → | 2011 | 461 |
About Daniel L. Ayres
Daniel L. Ayres is a scholar working on Paleontology, Genetics, Oceanography, Molecular Biology and Environmental Chemistry, having authored 9 papers that have together received 23.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genetic diversity and population structure (4 papers), Evolution and Paleontology Studies (3 papers), Algorithms and Data Compression (2 papers), Marine Biology and Ecology Research (2 papers), Evolution and Genetic Dynamics (2 papers), Parasite Biology and Host Interactions (1 paper) and Plant Diversity and Evolution (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (7.3k citations), Paleontology (2.1k citations), Ecology (6.3k citations), Ecological Modeling (1.0k citations) and Genetics (5.2k citations). Daniel L. Ayres has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Marc A. Suchard, John P. Huelsenbeck, Aaron E. Darling, Fredrik Ronquist, Maxim Teslenko, Sebastian Höhna, Bret Larget, Paul van der Mark, Liang Liu and Andrew Rambaut. Their work appears in journals such as Systematic Biology, Virus Evolution, Frontiers in Zoology, Harmful Algae and Methods in molecular biology.
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.