Pascal Noble

47 papers receiving 522 citations

Peers

Pascal Noble
Comparison fields: 5 of 43
  • Mathematical Physics 163
  • Statistical and Nonlinear Physics 173
  • Applied Mathematics 129
  • Computational Mechanics 237
  • Fluid Flow and Transfer Processes 64
Replace Victor Iosifovich Yudovich with:
Victor Iosifovich Yudovich Russia
Alexei Ilyin Russia
Roberta Dal Passo Italy
Anvarbek Mukatovich Meirmanov Russia
Mariana Hărăguş France
Michael P. Mortell Ireland
Mitsuaki Funakoshi Japan
V.I. Iudovich Russia
Vladislav Vasilievich Pukhnachev Russia
Cătălin Trenchea United States
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Citations per field
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Victor Iosifovich Yudovich · 1×
Citations per year

Countries citing papers authored by Pascal Noble

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201056
2 201341
3 200737
4 200432
5 201332
6 201225
7 201822
8 201522
9 201221
10 201120
11 201419
12 201719
13 200818
14 201816
15 201115
16 201414
17 202013
18 201310
19 201010
20 200610

About Pascal Noble

Pascal Noble is a scholar working on Mathematical Physics, Applied Mathematics, Computational Mechanics, Statistical and Nonlinear Physics and Fluid Flow and Transfer Processes, having authored 49 papers that have together received 541 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (20 papers), Navier-Stokes equation solutions (16 papers), Fluid Dynamics and Turbulent Flows (13 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Stability and Controllability of Differential Equations (9 papers), Rheology and Fluid Dynamics Studies (7 papers), Fluid Dynamics and Thin Films (7 papers) and Nonlinear Photonic Systems (6 papers). The work is most often cited by research in Mathematical Physics (163 citations), Statistical and Nonlinear Physics (173 citations), Applied Mathematics (129 citations), Computational Mechanics (237 citations) and Fluid Flow and Transfer Processes (64 citations). Pascal Noble has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Mathew A. Johnson, Kevin R. Zumbrun, Jean‐Paul Vila, Didier Bresch, Luis Miguel Rodrigues, Guillaume James, Enrique Domingo Fernández Nieto, Christophe Besse, Blake Barker and Laurent Chupin. Their work appears in journals such as Comptes Rendus Mathématique, Archive for Rational Mechanics and Analysis, Indiana University Mathematics Journal, Nonlinearity 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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