Elizabeth S. Allman
- Computational Mathematics top 1%
- Paleontology top 5%
- Evolution and Paleontology Studies 7
- Statistics and Probability top 5%
- Genetics top 10%
- Genetic diversity and population structure 19
- Evolution and Genetic Dynamics 4
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- Genomics and Phylogenetic Studies 24
- Bioinformatics and Genomic Networks 4
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- Bayesian Methods and Mixture Models 3
- Bayesian Modeling and Causal Inference 3
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- Species Distribution and Climate Change 3
- Co-authors
- John A. RhodesCatherine MatiasJ. H. DegnanHector BañosJonathan MitchellCécile AnéSeth SullivantSonja Petrović
- Journals
- Journal of Mathematical Biology (4 papers)Journal of Computational Biology (4 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Elizabeth S. Allman
37 papers receiving 932 citations
Peers
Comparison fields: 5 of 116
- Computational Mathematics 86
- Paleontology 135
- Statistics and Probability 109
- Genetics 333
- Discrete Mathematics and Combinatorics 30
Countries citing papers authored by Elizabeth S. Allman
This map shows the geographic impact of Elizabeth S. Allman'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 Elizabeth S. Allman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth S. Allman more than expected).
Fields of papers citing papers by Elizabeth S. Allman
This network shows the impact of papers produced by Elizabeth S. Allman. 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 Elizabeth S. Allman. The network helps show where Elizabeth S. Allman may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Elizabeth S. Allman, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 22 | |
| 10 | 2020 | 40 | |
| 11 | 2017 | 4 | |
| 12 | 2013 | 13 | |
| 13 | 2011 | 19 | |
| 14 | 2010 | 26 | |
| 15 | 2009 | 12 | |
| 16 | 2008 | 2 | |
| 17 | 2007 | 67 | |
| 18 | 2007 | 28 | |
| 19 | 2003 | 56 | |
| 20 | 2001 | 3 |
About Elizabeth S. Allman
Elizabeth S. Allman is a scholar working on Computational Mathematics, Paleontology, Genetics, Ecological Modeling and Molecular Biology, having authored 37 papers that have together received 985 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), Genetic diversity and population structure (19 papers), Evolution and Paleontology Studies (7 papers), Bioinformatics and Genomic Networks (4 papers), Evolution and Genetic Dynamics (4 papers), Bayesian Methods and Mixture Models (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Species Distribution and Climate Change (3 papers). The work is most often cited by research in Computational Mathematics (86 citations), Paleontology (135 citations), Statistics and Probability (109 citations), Genetics (333 citations) and Discrete Mathematics and Combinatorics (30 citations). Elizabeth S. Allman has collaborated with scholars based in United States, Canada and France. Frequent co-authors include John A. Rhodes, Catherine Matias, J. H. Degnan, Hector Baños, Jonathan Mitchell, Cécile Ané, Seth Sullivant, Sonja Petrović, Mark T. Holder and Murray Schacher. Their work appears in journals such as Journal of Mathematical Biology, Journal of Computational Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Systematic Biology and Bulletin of Mathematical 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.