Mathieu Fourment

8k citations
43 papers · 5.8k · 1 hit paper · h-index 23

Impact in

Papers in

    • Influenza Virus Research Studies 13
    • Evolution and Genetic Dynamics 6
    • Genetic diversity and population structure 4
    • Yersinia bacterium, plague, ectoparasites research 2

Mathieu Fourment

41 papers receiving 5.7k citations

Mathieu Fourment's Hit Papers

BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis 2019 · 3.1k citations
3.1k0+2+4Years since publication1k2k3k

Peers

Mathieu Fourment
Comparison fields: 5 of 141
  • Genetics 1.7k
  • Ecology, Evolution, Behavior and Systematics 874
  • Paleontology 479
  • Epidemiology 728
  • Aquatic Science 136
Replace Nicola F. Müller with:
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Alexandra “Sasha” Gavryushkina New Zealand
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Mathieu Fourment relative to Nicola F. Müller United States Nicola F. Müller's profile →
Citations per field
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Nicola F. Müller · 1×
Citations per year

Countries citing papers authored by Mathieu Fourment

Since Specialization
Citations

This map shows the geographic impact of Mathieu Fourment'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 Mathieu Fourment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Fourment more than expected).

Fields of papers citing papers by Mathieu Fourment

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathieu Fourment. 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 Mathieu Fourment. The network helps show where Mathieu Fourment may publish in the future.

Co-authors

The 25 scholars most cited alongside Mathieu Fourment, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Fourment Line = papers co-authored together Mathieu Fourment links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis
Hit paper breakdown →
20193130
2 2006406
3 2011347
4 2014341
5 2016228
6 2015176
7 2010130
8 2016127
9 2008104
10 201382
11 201274
12 201371
13 200964
14 201158
15 201758
16 200849
17 201943
18 201638
19 201337
20 200828

About Mathieu Fourment

Mathieu Fourment is a scholar working on Epidemiology, Genetics, Molecular Biology, Statistics and Probability and Molecular Medicine, having authored 43 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (21 papers), Influenza Virus Research Studies (13 papers), Evolution and Genetic Dynamics (6 papers), Markov Chains and Monte Carlo Methods (5 papers), Genetic diversity and population structure (4 papers), Parallel Computing and Optimization Techniques (2 papers), Malaria Research and Control (2 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). The work is most often cited by research in Genetics (1.7k citations), Ecology, Evolution, Behavior and Systematics (874 citations), Paleontology (479 citations), Epidemiology (728 citations) and Aquatic Science (136 citations). Mathieu Fourment has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Mark J. Gibbs, Edward Charles Holmes, Sergei L. Kosakovsky Pond, Ben Murrell, Konrad Scheffler, Wayne Delport, Simon D. W. Frost, Michael Richard Gillings, Aaron E. Darling and Jane Hawkey. Their work appears in journals such as BMC Evolutionary Biology, Systematic Biology, Molecular Biology and Evolution, BMC Bioinformatics and PLoS Computational 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.

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