D. Pelletier

1.7k total citations
89 papers, 1.3k citations indexed

About

D. Pelletier is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, D. Pelletier has authored 89 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computational Mechanics, 16 papers in Electrical and Electronic Engineering and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in D. Pelletier's work include Computational Fluid Dynamics and Aerodynamics (53 papers), Advanced Numerical Methods in Computational Mathematics (42 papers) and Fluid Dynamics and Turbulent Flows (29 papers). D. Pelletier is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (53 papers), Advanced Numerical Methods in Computational Mathematics (42 papers) and Fluid Dynamics and Turbulent Flows (29 papers). D. Pelletier collaborates with scholars based in Canada, United States and France. D. Pelletier's 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 and has published in prestigious journals such as Biochemistry, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

D. Pelletier

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Pelletier Canada 21 1.0k 213 184 181 149 89 1.3k
Dominique Pelletier Canada 18 929 0.9× 146 0.7× 154 0.8× 194 1.1× 111 0.7× 92 1.1k
Pietro Marco Congedo France 19 463 0.5× 339 1.6× 144 0.8× 93 0.5× 171 1.1× 90 1.0k
Marc Gerritsma Netherlands 18 560 0.6× 144 0.7× 72 0.4× 107 0.6× 52 0.3× 59 899
Stéphane Étienne Canada 15 593 0.6× 99 0.5× 138 0.8× 85 0.5× 74 0.5× 93 752
S. Scott Collis United States 18 987 1.0× 119 0.6× 139 0.8× 165 0.9× 99 0.7× 40 1.3k
Aashwin Mishra United States 16 497 0.5× 143 0.7× 175 1.0× 148 0.8× 70 0.5× 30 741
George Papadakis United Kingdom 21 1.1k 1.1× 29 0.1× 236 1.3× 110 0.6× 273 1.8× 94 1.5k
Marius Paraschivoiu Canada 21 720 0.7× 47 0.2× 430 2.3× 88 0.5× 135 0.9× 70 1.6k
Dietmar Rempfer United States 17 898 0.9× 134 0.6× 197 1.1× 437 2.4× 96 0.6× 41 1.2k
David A. Barajas‐Solano United States 12 177 0.2× 145 0.7× 188 1.0× 461 2.5× 127 0.9× 31 887

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-authorship network of co-authors of D. Pelletier

This figure shows the co-authorship network connecting the top 25 collaborators of D. Pelletier. A scholar is included among the top collaborators of D. Pelletier 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 D. Pelletier. D. Pelletier 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
1.
Botton, Val‚éry, et al.. (2018). Mechanical stirring influence on solute segregation during plane front directional solidification. International Journal of Thermal Sciences. 126. 252–262. 11 indexed citations
2.
Botton, Val‚éry, et al.. (2017). Towards wall functions for the prediction of solute segregation in plane front directional solidification. Journal of Crystal Growth. 475. 55–69. 6 indexed citations
3.
Étienne, Stéphane, et al.. (2015). High‐order time integrators for front‐tracking finite‐element analysis of viscous free‐surface flows. International Journal for Numerical Methods in Fluids. 77(11). 668–693. 4 indexed citations
4.
Pelletier, D., et al.. (2014). Guide d’utilisation des outils PAMPA. Version 2. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 1 indexed citations
5.
Garandet, J.P., et al.. (2011). Solute segregation in a lid driven cavity: Effect of the flow on the boundary layer thickness and solute segregation. Journal of Crystal Growth. 340(1). 149–155. 12 indexed citations
6.
Doppalapudi, D., et al.. (2010). MEMS-based gravimetric sensors for explosives detection. 3 indexed citations
8.
Ilinca, F., D. Pelletier, & A. Hay. (2008). First‐ and second‐order sensitivity equation methods for value and shape parameters. International Journal for Numerical Methods in Fluids. 57(9). 1349–1370. 10 indexed citations
9.
Étienne, Stéphane, A. Garon, & D. Pelletier. (2008). Perspective on the geometric conservation law and finite element methods for ALE simulations of incompressible flow. Journal of Computational Physics. 228(7). 2313–2333. 60 indexed citations
10.
Eça, Luís, M. Hoekstra, A. Hay, & D. Pelletier. (2007). A manufactured solution for a two-dimensional steady wall-bounded incompressible turbulent flow. International journal of computational fluid dynamics. 21(3-4). 175–188. 58 indexed citations
11.
Ilinca, F., D. Pelletier, & Jeff Borggaard. (2007). A continuous second‐order sensitivity equation method for time‐dependent incompressible laminar flows. International Journal for Numerical Methods in Fluids. 55(6). 565–587. 8 indexed citations
12.
Garon, A., et al.. (2007). Development of an adaptive Discontinuous-Galerkin finite element method for advection–reaction equations. Computer Methods in Applied Mechanics and Engineering. 196(17-20). 2071–2083. 8 indexed citations
13.
Vetel, Jérôme, Marie‐Isabelle Farinas, A. Garon, & D. Pelletier. (2006). Characterization of a diffuser flow by time-resolved PIV. Journal of Visualization. 9(2). 219–226. 1 indexed citations
14.
Turgeon, É., D. Pelletier, & Jeff Borggaard. (2004). A General Continuous Sensitivity Equation Formulation for the k - ε Model of Turbulence. International journal of computational fluid dynamics. 18(1). 29–46. 21 indexed citations
15.
Turgeon, É., et al.. (1998). Effects of adaptivity on various finite element schemes for turbulent heat transfer and flow predictions. 36th AIAA Aerospace Sciences Meeting and Exhibit. 8 indexed citations
16.
Ilinca, F., et al.. (1998). Adaptive finite element solution of compressible turbulent flows. 36th AIAA Aerospace Sciences Meeting and Exhibit. 2 indexed citations
17.
Ilinca, F. & D. Pelletier. (1997). Positivity preservation and adaptive solution for the k-epsilon model of turbulence. 35th Aerospace Sciences Meeting and Exhibit. 5 indexed citations
18.
Pelletier, D., et al.. (1996). An adaptive finite element method for turbulent heat transfer. 34th Aerospace Sciences Meeting and Exhibit. 21 indexed citations
19.
Whitesell, Richard R., David M. Regen, Albert H. Beth, D. Pelletier, & Nada A. Abumrad. (1989). Activation energy of the slowest step in the glucose carrier cycle: break at 23.degree.C and correlation with membrane lipid fluidity. Biochemistry. 28(13). 5618–5625. 39 indexed citations
20.
Pelletier, D. & Joseph A. Schetz. (1985). A Navier-Stokes calculation of 3-D, turbulent flow near a propeller in a shear flow. 23rd Aerospace Sciences Meeting. 2 indexed citations

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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