D. Pelletier

1.7k citations
89 papers · 1.3k · h-index 21

Impact in

Papers in

D. Pelletier

85 papers receiving 1.3k citations

Peers

D. Pelletier
Comparison fields: 5 of 102
  • Computational Mechanics 1.0k
  • Statistics, Probability and Uncertainty 213
  • Statistical and Nonlinear Physics 181
  • Environmental Engineering 184
  • Numerical Analysis 56
Replace Dominique Pelletier with:
Dominique Pelletier Canada
S. Scott Collis United States
Marc Gerritsma Netherlands
Mark Woodgate United Kingdom
Stéphane Étienne Canada
Paul G. A. Cizmas United States
Dietmar Rempfer United States
Marius Paraschivoiu Canada
George Papadakis United Kingdom
David Whitfield United States
D. Pelletier relative to Dominique Pelletier Canada Dominique Pelletier's profile →
Citations per field
00.5×2.8×
Dominique Pelletier · 1×
Citations per year

Countries citing papers authored by D. Pelletier

Since Specialization
Citations

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

Fields of papers citing papers by D. Pelletier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201192
2 200962
3 200860
4 200758
5 200856
6 199751
7 199943
8 200642
9 198939
10 200737
11 200536
12 200033
13 199933
14 201027
15 199827
16 199827
17 200123
18 200523
19 200421
20 199621

About D. Pelletier

D. Pelletier is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Statistics, Probability and Uncertainty, Environmental Engineering and Statistical and Nonlinear Physics, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (53 papers), Advanced Numerical Methods in Computational Mathematics (42 papers), Fluid Dynamics and Turbulent Flows (29 papers), Probabilistic and Robust Engineering Design (12 papers), Silicon and Solar Cell Technologies (10 papers), Model Reduction and Neural Networks (10 papers), Wind and Air Flow Studies (8 papers) and Fluid Dynamics and Vibration Analysis (8 papers). The work is most often cited by research in Computational Mechanics (1.0k citations), Statistics, Probability and Uncertainty (213 citations), Statistical and Nonlinear Physics (181 citations), Environmental Engineering (184 citations) and Numerical Analysis (56 citations). D. Pelletier has collaborated with scholars based in Canada, United States and France. Frequent co-authors include F. Ilinca, Jeff Borggaard, A. Garon, A. Hay, É. Turgeon, Stéphane Étienne, M. Hoekstra, Luís Eça, Imran Akhtar and J.‐F. Hétu. Their work appears in journals such as International Journal for Numerical Methods in Fluids, AIAA Journal, International journal of computational fluid dynamics, Journal of Crystal Growth 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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