Emmanuel Grenier

82 papers receiving 2.2k citations

Peers

Emmanuel Grenier
Comparison fields: 5 of 135
  • Applied Mathematics 1.2k
  • Mathematical Physics 652
  • Modeling and Simulation 282
  • Computational Mechanics 782
  • Numerical Analysis 83
Replace Roberto Natalini with:
Roberto Natalini Italy
M. Sammartino Italy
Alexander Kiselev United States
Kun Zhao United States
Reinhard Illner Canada
Lawrence Evans United States
José M. Mazón Spain
Dejan Slepčev United States
Pierre‐Emmanuel Jabin France
Stéphane Mischler France
Emmanuel Grenier relative to Roberto Natalini Italy Roberto Natalini's profile →
Citations per field
00.5×1.5×1.8×
Roberto Natalini · 1×
Citations per year

Countries citing papers authored by Emmanuel Grenier

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Grenier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998272
2 2000184
3 2000144
4 2000120
5 2006114
6 2012105
7 199893
8 201074
9 200973
10 200171
11 199659
12 201654
13 199953
14 200852
15 202147
16 201047
17 200143
18 200540
19 200037
20 199732

About Emmanuel Grenier

Emmanuel Grenier is a scholar working on Applied Mathematics, Mathematical Physics, Modeling and Simulation, Computational Mechanics and Computational Theory and Mathematics, having authored 87 papers that have together received 2.3k indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (25 papers), Fluid Dynamics and Turbulent Flows (18 papers), Advanced Mathematical Modeling in Engineering (13 papers), Advanced Mathematical Physics Problems (13 papers), Mathematical Biology Tumor Growth (12 papers), Stability and Controllability of Differential Equations (8 papers), Gas Dynamics and Kinetic Theory (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Applied Mathematics (1.2k citations), Mathematical Physics (652 citations), Modeling and Simulation (282 citations), Computational Mechanics (782 citations) and Numerical Analysis (83 citations). Emmanuel Grenier has collaborated with scholars based in France, United States and China. Frequent co-authors include Yann Brenier, Benoı̂t Desjardins, Stéphane Cordier, Isabelle A. Gallagher, Jean-Yves Chemin, Toan Trong Nguyen, Benjamin Ribba, Olivier Guès, Jean‐Pierre Boissel and Didier Bresch. Their work appears in journals such as Physiologia Plantarum, Communications on Pure and Applied Mathematics, Communications in Partial Differential Equations, Journal of Differential Equations and ESAIM Mathematical Modelling and Numerical Analysis.

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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