Mathieu Fourment

8.1k total citations
36 papers, 1.9k citations indexed

About

Mathieu Fourment is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Mathieu Fourment has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Epidemiology and 11 papers in Genetics. Recurrent topics in Mathieu Fourment's work include Genomics and Phylogenetic Studies (16 papers), Influenza Virus Research Studies (11 papers) and Genetic diversity and population structure (9 papers). Mathieu Fourment is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Influenza Virus Research Studies (11 papers) and Genetic diversity and population structure (9 papers). Mathieu Fourment collaborates with scholars based in Australia, United States and Singapore. Mathieu Fourment's co-authors include Mark J. Gibbs, Edward C. Holmes, Sergei L. Kosakovsky Pond, Simon D. W. Frost, Konrad Scheffler, Wayne Delport, Ben Murrell, Michael R. Gillings, Aaron E. Darling and David Edwards and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Mathieu Fourment

35 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathieu Fourment Australia 19 620 479 453 364 290 36 1.9k
Thomas Weighill United States 5 708 1.1× 366 0.8× 542 1.2× 554 1.5× 349 1.2× 14 2.2k
Vladimir N. Minin United States 26 1.0k 1.7× 427 0.9× 1.2k 2.6× 419 1.2× 277 1.0× 65 2.8k
Andrew Kitchen United States 20 309 0.5× 389 0.8× 457 1.0× 665 1.8× 173 0.6× 48 1.9k
Nicola De Maio United Kingdom 26 1.1k 1.8× 312 0.7× 761 1.7× 637 1.8× 321 1.1× 41 2.4k
Frank M. Horodyski United States 23 706 1.1× 449 0.9× 744 1.6× 482 1.3× 464 1.6× 29 2.4k
Guan‐Zhu Han China 24 655 1.1× 723 1.5× 371 0.8× 492 1.4× 1.1k 3.7× 69 2.4k
Filip Bielejec United States 9 232 0.4× 422 0.9× 341 0.8× 436 1.2× 191 0.7× 11 1.3k
Sébastien Calvignac‐Spencer Germany 31 593 1.0× 494 1.0× 390 0.9× 603 1.7× 287 1.0× 89 2.8k
Richard Orton United Kingdom 29 1.2k 2.0× 486 1.0× 305 0.7× 1.3k 3.5× 347 1.2× 82 3.4k
Daniel Janies United States 29 966 1.6× 360 0.8× 482 1.1× 536 1.5× 385 1.3× 125 3.5k

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-authorship network of co-authors of Mathieu Fourment

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Fourment. A scholar is included among the top collaborators of Mathieu Fourment based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathieu Fourment. Mathieu Fourment is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fourment, Mathieu, et al.. (2025). torchtree : Flexible Phylogenetic Model Development and Inference Using PyTorch. Systematic Biology. 75(1). 39–51. 1 indexed citations
2.
Gangavarapu, Karthik, Xiang Ji, Guy Baele, et al.. (2024). Many-core algorithms for high-dimensional gradients on phylogenetic trees. Bioinformatics. 40(2). 5 indexed citations
3.
Fourment, Mathieu, Jared Galloway, Xiang Ji, et al.. (2023). Automatic Differentiation is no Panacea for Phylogenetic Gradient Computation. Genome Biology and Evolution. 15(6). 5 indexed citations
4.
Fourment, Mathieu, et al.. (2023). A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm. Algorithms for Molecular Biology. 18(1). 10–10. 5 indexed citations
5.
Fourment, Mathieu, Aaron E. Darling, Thomas Gottlieb, et al.. (2020). Escherichia coli ST8196 is a novel, locally evolved, and extensively drug resistant pathogenic lineage within the ST131 clonal complex. Emerging Microbes & Infections. 9(1). 1780–1792. 6 indexed citations
6.
Chowdhury, Piklu Roy, Mathieu Fourment, Matthew Z. DeMaere, et al.. (2019). Identification of a novel lineage of plasmids within phylogenetically diverse subclades of IncHI2-ST1 plasmids. Plasmid. 102. 56–61. 6 indexed citations
7.
Fourment, Mathieu & Aaron E. Darling. (2019). Evaluating probabilistic programming and fast variational Bayesian inference in phylogenetics. PeerJ. 7. e8272–e8272. 15 indexed citations
8.
Fourment, Mathieu & Aaron E. Darling. (2018). Local and relaxed clocks: the best of both worlds. PeerJ. 6. e5140–e5140. 14 indexed citations
9.
Fourment, Mathieu, et al.. (2017). Effective Online Bayesian Phylogenetics via Sequential Monte Carlo with Guided Proposals. Systematic Biology. 67(3). 490–502. 22 indexed citations
10.
Fourment, Mathieu, Aaron E. Darling, & Edward C. Holmes. (2017). The impact of migratory flyways on the spread of avian influenza virus in North America. BMC Evolutionary Biology. 17(1). 118–118. 50 indexed citations
11.
Duchêne, Sebastián, Kathryn E. Holt, François‐Xavier Weill, et al.. (2016). Genome-scale rates of evolutionary change in bacteria. Microbial Genomics. 2(11). e000094–e000094. 179 indexed citations
12.
Fourment, Mathieu & Edward C. Holmes. (2016). Seqotron: a user-friendly sequence editor for Mac OS X. BMC Research Notes. 9(1). 106–106. 37 indexed citations
13.
Fourment, Mathieu & Edward C. Holmes. (2015). Avian influenza virus exhibits distinct evolutionary dynamics in wild birds and poultry. BMC Evolutionary Biology. 15(1). 120–120. 25 indexed citations
14.
Fourment, Mathieu & Edward C. Holmes. (2014). Novel non-parametric models to estimate evolutionary rates and divergence times from heterochronous sequence data. BMC Evolutionary Biology. 14(1). 163–163. 18 indexed citations
15.
Bahl, Justin, Scott Krauss, Denise Kühnert, et al.. (2013). Influenza A Virus Migration and Persistence in North American Wild Birds. PLoS Pathogens. 9(8). e1003570–e1003570. 73 indexed citations
16.
Wertheim, Joel O., Mathieu Fourment, & Sergei L. Kosakovsky Pond. (2011). Inconsistencies in Estimating the Age of HIV-1 Subtypes Due to Heterotachy. Molecular Biology and Evolution. 29(2). 451–456. 55 indexed citations
17.
Buchy, Philippe, Mathieu Fourment, Sek Mardy, et al.. (2009). Molecular Epidemiology of Clade 1 Influenza A Viruses (H5N1), Southern Indochina Peninsula, 2004–2007. Emerging infectious diseases. 15(10). 1641–1644. 22 indexed citations
18.
Fourment, Mathieu, Adrian J. Gibbs, & Mark J. Gibbs. (2008). SWeBLAST: A Sliding Window Web-based BLAST tool for recombinant analysis. Journal of Virological Methods. 152(1-2). 98–101. 28 indexed citations
19.
Fourment, Mathieu & Michael R. Gillings. (2008). A comparison of common programming languages used in bioinformatics. BMC Bioinformatics. 9(1). 82–82. 99 indexed citations
20.
Gibbs, Mark J., Mathieu Fourment, J. T. Wood, et al.. (2006). The variable codons of H3 influenza A virus haemagglutinin genes. Archives of Virology. 152(1). 11–24. 13 indexed citations

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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