Matthieu Alfaro

867 citations
44 papers · 477 indexed · h-index 14
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (25 papers)Mathematical Biology Tumor Growth (13 papers)Evolution and Genetic Dynamics (13 papers)
Partner nations
FranceJapanAustralia

In The Last Decade

Matthieu Alfaro

40 papers receiving 457 citations

Peers

Matthieu Alfaro
Comparison fields: 5 of 50
  • Public Health, Environmental and Occupational Health 290
  • Modeling and Simulation 180
  • Genetics 157
  • Applied Mathematics 135
  • Computational Theory and Mathematics 68
Replace Thomas Giletti with:
Thomas Giletti France
Narcisa Apreutesei Romania
Yaping Wu China
Yong-Hong Fan China
Bendong Lou China
Salomé Martínez Chile
Zhongwei Shen Canada
Yukio Kan-on Japan
Gonzalo Galiano Spain
Àngel Calsina Spain
Matthieu Alfaro relative to Thomas Giletti France Thomas Giletti's profile →
Citations per field
00.5×1.5×2.4×
Thomas Giletti · 1×
Citations per year

Countries citing papers authored by Matthieu Alfaro

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Alfaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Alfaro

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Alfaro. A scholar is included among the top collaborators of Matthieu Alfaro 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 Matthieu Alfaro. Matthieu Alfaro 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
#WorkIndexed citations
1 0
2 0
3 3
4 1
5 2
6 2
7 8
8 3
9 2
10 41
11 5
12 28
13 45
14 7
15 26
16 42
17 4
18 3
19 1
20 14

About Matthieu Alfaro

Matthieu Alfaro is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 44 papers that have together received 477 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Mathematical Biology Tumor Growth (13 papers) and Evolution and Genetic Dynamics (13 papers). The work is most often cited by research in Modeling and Simulation (180 citations), Applied Mathematics (135 citations) and Public Health, Environmental and Occupational Health (290 citations). Matthieu Alfaro has collaborated with scholars based in France, Japan and Australia. Frequent co-authors include Jérôme Coville, Gaël Raoul, Hiroshi Matano, Dorothea Hilhorst, Henri Berestycki, Thomas Giletti, Arnaud Ducrot, Rémi Carles, Masayasu Mimura and Quentin Griette. Their work appears in journals such as Journal of Differential Equations, Nonlinear Analysis and Journal 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.

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