D. Ait‐Ali‐Yahia

768 citations
23 papers · 578 indexed · h-index 10
Topics
Computational Fluid Dynamics and Aerodynamics (17 papers)Advanced Numerical Methods in Computational Mathematics (8 papers)Aerodynamics and Acoustics in Jet Flows (7 papers)
Partner nations
Canada

In The Last Decade

D. Ait‐Ali‐Yahia

23 papers receiving 543 citations

Peers

D. Ait‐Ali‐Yahia
Comparison fields: 5 of 50
  • Computational Mechanics 505
  • Aerospace Engineering 119
  • Computer Graphics and Computer-Aided Design 88
  • Applied Mathematics 81
  • Mechanics of Materials 61
Replace Peter R. Eiseman with:
Peter R. Eiseman United States
Marie‐Gabrielle Vallet Canada
Bruno Koobus France
J. F. Thompson United States
S. Aliabadi United States
Steven R. Allmaras United States
V. Kalro United States
R. Löhner United States
Reese L. Sorenson United States
Michael B. Bieterman United States
D. Ait‐Ali‐Yahia relative to Peter R. Eiseman United States Peter R. Eiseman's profile →
Citations per field
00.5×10×14×
Peter R. Eiseman · 1×
Citations per year

Countries citing papers authored by D. Ait‐Ali‐Yahia

Since Specialization
Citations

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

Fields of papers citing papers by D. Ait‐Ali‐Yahia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Ait‐Ali‐Yahia. 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. Ait‐Ali‐Yahia. The network helps show where D. Ait‐Ali‐Yahia may publish in the future.

Co-authorship network of co-authors of D. Ait‐Ali‐Yahia

This figure shows the co-authorship network connecting the top 25 collaborators of D. Ait‐Ali‐Yahia. A scholar is included among the top collaborators of D. Ait‐Ali‐Yahia 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. Ait‐Ali‐Yahia. D. Ait‐Ali‐Yahia 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
#WorkIndexed citations
1
Liner Impedance Optimization for Turbofan Noise
1
2 2
3 4
4
異方性メッシュ適合法 ユーザ,メッシュおよびソルバに依存しないCFDを目指して II 構造格子
28
5 103
6 30
7 4
8 193
9 53
10 6
11 6
12 19
13 4
14 29
15 4
16 5
17 3
18 48
19 3
20 9

About D. Ait‐Ali‐Yahia

D. Ait‐Ali‐Yahia is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 23 papers that have together received 578 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (17 papers), Advanced Numerical Methods in Computational Mathematics (8 papers) and Aerodynamics and Acoustics in Jet Flows (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (88 citations), Computational Mechanics (505 citations) and Applied Mathematics (81 citations). D. Ait‐Ali‐Yahia has collaborated with scholars based in Canada. Frequent co-authors include Wagdi G. Habashi, Julien Dompierre, Michel Fortin, Marie‐Gabrielle Vallet, Yves Bourgault, Guido S. Baruzzi, Dan Stánescu, M. Fortin, M.‐G. Vallet and Michael Moore. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, AIAA Journal and International Journal for Numerical Methods in Fluids.

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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