Mark Beaumont
- Genetics top 0.05%
- Genetic diversity and population structure 58
- Genetic and phenotypic traits in livestock 24
- Genetic Mapping and Diversity in Plants and Animals 19
- Evolution and Genetic Dynamics 12
- Forensic and Genetic Research 8
- Ecological Modeling top 0.5%
- Statistics and Probability top 0.2%
- Markov Chains and Monte Carlo Methods 11
- Nature and Landscape Conservation top 0.5%
- Ecology top 0.5%
- Wildlife Ecology and Conservation 16
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- Bayesian Methods and Mixture Models 17
- Co-authors
- David J. BaldingWenyang ZhangJay F. StorzBruce RannalaGordon LuikartJean‐Michel MarinLounès ChikhiJean‐Marie Cornuet
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Mark Beaumont
101 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Genetics 7.7k
- Ecological Modeling 888
- Statistics and Probability 1.2k
- Nature and Landscape Conservation 1.6k
- Ecology 3.4k
Countries citing papers authored by Mark Beaumont
This map shows the geographic impact of Mark Beaumont'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 Mark Beaumont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Beaumont more than expected).
Fields of papers citing papers by Mark Beaumont
This network shows the impact of papers produced by Mark Beaumont. 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 Mark Beaumont. The network helps show where Mark Beaumont may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Beaumont, 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 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 15 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 36 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 22 | |
| 10 | 2017 | 7 | |
| 11 | 2013 | 10 | |
| 12 | 2012 | 64 | |
| 13 | 2011 | 42 | |
| 14 | 2011 | 27 | |
| 15 | 2010 | 46 | |
| 16 | 2009 | 202 | |
| 17 | 2009 | 31 | |
| 18 | 2008 | 44 | |
| 19 | 2007 | 134 | |
| 20 | 2006 | 51 |
About Mark Beaumont
Mark Beaumont is a scholar working on Genetics, Statistics and Probability and Ecology, having authored 105 papers that have together received 12.4k indexed citations. Recurring topics across this work include Genetic diversity and population structure (58 papers), Genetic and phenotypic traits in livestock (24 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers), Bayesian Methods and Mixture Models (17 papers), Wildlife Ecology and Conservation (16 papers), Evolution and Genetic Dynamics (12 papers), Markov Chains and Monte Carlo Methods (11 papers) and Forensic and Genetic Research (8 papers). The work is most often cited by research in Genetics (7.7k citations), Ecological Modeling (888 citations) and Statistics and Probability (1.2k citations). Mark Beaumont has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include David J. Balding, Wenyang Zhang, Jay F. Storz, Bruce Rannala, Gordon Luikart, Jean‐Michel Marin, Lounès Chikhi, Jean‐Marie Cornuet, Christian P. Robert and Arnaud Estoup. Their work appears in journals such as Genetics, Molecular Ecology, Heredity, Evolution and Bioinformatics.
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.