Andrew J. Meade

653 citations
31 papers · 497 indexed · h-index 10
Topics
Fluid Dynamics and Turbulent Flows (8 papers)Computational Fluid Dynamics and Aerodynamics (8 papers)Wind and Air Flow Studies (3 papers)
Partner nations
United StatesChina

In The Last Decade

Andrew J. Meade

30 papers receiving 464 citations

Peers

Andrew J. Meade
Comparison fields: 5 of 69
  • Statistical and Nonlinear Physics 212
  • Artificial Intelligence 119
  • Computational Mechanics 108
  • Biomedical Engineering 102
  • Modeling and Simulation 85
Replace Amirreza Khodadadian with:
Amirreza Khodadadian Austria
Z.L. Huang China
Yiping Lu China
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Mark S. Gockenbach United States
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Andrew J. Meade relative to Amirreza Khodadadian Austria Amirreza Khodadadian's profile →
Citations per field
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Amirreza Khodadadian · 1×
Citations per year

Countries citing papers authored by Andrew J. Meade

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Meade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Meade. 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 Andrew J. Meade. The network helps show where Andrew J. Meade may publish in the future.

Co-authorship network of co-authors of Andrew J. Meade

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Meade. A scholar is included among the top collaborators of Andrew J. Meade 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 Andrew J. Meade. Andrew J. Meade 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
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7 11
8 43
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11 3
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13 5
14 11
15 179
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The semidiscrete Galerkin finite element modeling of compressible viscous flow past an airfoil
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Semidiscrete Galerkin modelling of compressible viscous flow past a circular cone at incidence
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About Andrew J. Meade

Andrew J. Meade is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Environmental Engineering, having authored 31 papers that have together received 497 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Wind and Air Flow Studies (3 papers). The work is most often cited by research in Modeling and Simulation (85 citations), Statistical and Nonlinear Physics (212 citations) and Numerical Analysis (39 citations). Andrew J. Meade has collaborated with scholars based in United States and China. Frequent co-authors include Ariel Fernández, Yıldız Bayazıtoğlu, Xiao Xu, B. A. Zeldin, Enrique V. Barrera, Jonathan Lee, Lewis B. Schiff, Jeremy Alan Templeton, Maurice Holt and Patrick E. Rodi. Their work appears in journals such as International Journal of Heat and Mass Transfer, AIAA Journal and Journal of Heat Transfer.

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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