Mark Beaumont
Impact in
- Genetics top 0.1%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Evolution and Genetic Dynamics
- Ecological Modeling top 0.5%
- Species Distribution and Climate Change
Papers in
- Co-authors
- David J. Balding (4 shared papers)Wenyang Zhang (1 shared paper)Jay F. Storz (3 shared papers)Bruce H. Rannala (1 shared paper)Jean‐Michel Marin (3 shared papers)Lounès Chikhi (7 shared papers)Christian P. Robert (2 shared papers)Gordon Luikart (4 shared papers)
- Journals
- Genetics (16 papers)Molecular Ecology (12 papers)Heredity (7 papers)Evolution (5 papers)Bioinformatics (4 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Mark Beaumont
115 papers receiving 13.2k citations
Mark Beaumont's Hit Papers
Peers
Comparison fields: 5 of 198
- Genetics 8.2k
- Ecological Modeling 1.1k
- Statistics and Probability 1.4k
- Ecology 3.6k
- Nature and Landscape Conservation 1.7k
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-authors
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
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Approximate Bayesian Computation in Population Genetics Hit paper breakdown → | 2002 | 2073 |
| 2 | Identifying adaptive genetic divergence among populations from genome scans Hit paper breakdown → | 2004 | 929 |
| 3 | Approximate Bayesian Computation in Evolution and Ecology Hit paper breakdown → | 2010 | 794 |
| 4 | 2008 | 582 | |
| 5 | 1999 | 495 | |
| 6 | 2007 | 440 | |
| 7 | 2004 | 396 | |
| 8 | 2009 | 393 | |
| 9 | 2009 | 376 | |
| 10 | 2005 | 373 | |
| 11 | Climate-induced phenology shifts linked to range expansions in species with multiple reproductive cycles per year Hit paper breakdown → | 2019 | 367 |
| 12 | 1998 | 352 | |
| 13 | 2002 | 339 | |
| 14 | 2007 | 330 | |
| 15 | 2001 | 274 | |
| 16 | 2003 | 260 | |
| 17 | 2010 | 254 | |
| 18 | 2001 | 243 | |
| 19 | 2002 | 224 | |
| 20 | 2009 | 223 |
About Mark Beaumont
Mark Beaumont is a scholar working on Genetics, Ecology, Statistics and Probability, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 122 papers that have together received 13.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (61 papers), Genetic and phenotypic traits in livestock (26 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers), Wildlife Ecology and Conservation (19 papers), Bayesian Methods and Mixture Models (17 papers), Evolution and Genetic Dynamics (14 papers), Markov Chains and Monte Carlo Methods (12 papers) and Fish Ecology and Management Studies (8 papers). The work is most often cited by research in Genetics (8.2k citations), Ecological Modeling (1.1k citations), Statistics and Probability (1.4k citations), Ecology (3.6k citations) and Nature and Landscape Conservation (1.7k 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 H. Rannala, Jean‐Michel Marin, Lounès Chikhi, Christian P. Robert, Gordon Luikart, Jean‐Marie Cornuet and Michael W. Bruford. 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.