Philippe Chartier

948 citations
54 papers · 574 · h-index 14

Impact in

Papers in

Philippe Chartier

50 papers receiving 542 citations

Peers

Philippe Chartier
Comparison fields: 5 of 87
  • Numerical Analysis 325
  • Algebra and Number Theory 61
  • Computational Theory and Mathematics 144
  • Statistical and Nonlinear Physics 104
  • Computational Mechanics 152
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D. Noutsos Greece
L. Pasquini Italy
Giuseppe Fiorentino Italy
Maryna Viazovska Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Chartier

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Chartier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Chartier, 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 Philippe Chartier Line = papers co-authored together Philippe Chartier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200658
2 201457
3 201053
4 201648
5 200735
6 201533
7 200726
8 201419
9 202117
10 202017
11 201217
12 201916
13
A substitution law for B-series vector fields
200516
14 201115
15 202312
16 200411
17 201611
18 201811
19 20139
20 20219

About Philippe Chartier

Philippe Chartier is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Sociology and Political Science, having authored 54 papers that have together received 574 indexed citations. Recurring topics across this work include Numerical methods for differential equations (27 papers), Advanced Numerical Methods in Computational Mathematics (15 papers), Electromagnetic Simulation and Numerical Methods (8 papers), Advanced Mathematical Modeling in Engineering (7 papers), Education, sociology, and vocational training (6 papers), Differential Equations and Numerical Methods (6 papers), Matrix Theory and Algorithms (4 papers) and Advanced Topics in Algebra (3 papers). The work is most often cited by research in Numerical Analysis (325 citations), Algebra and Number Theory (61 citations), Computational Theory and Mathematics (144 citations), Statistical and Nonlinear Physics (104 citations) and Computational Mechanics (152 citations). Philippe Chartier has collaborated with scholars based in France, Spain and China. Frequent co-authors include Ander Murua, Gilles Vilmart, Florian Méhats, Ernst Hairer, Mohammed Lemou, Erwan Faou, Nicolas Crouseilles, Xiaofei Zhao, Yong Zhang and Mechthild Thalhammer. Their work appears in journals such as Numerische Mathematik, Mathematics of Computation, IMA Journal of Numerical Analysis, The Journal of Chemical Physics and Journal of Computational Physics.

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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