Andrew J. Meade

41 total papers · 650 total citations
31 papers, 494 citations indexed

About

Andrew J. Meade is a scholar working on Computational Mechanics, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Andrew J. Meade has authored 31 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 7 papers in Biomedical Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Andrew J. Meade's work include Computational Fluid Dynamics and Aerodynamics (8 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Model Reduction and Neural Networks (3 papers). Andrew J. Meade is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (8 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Model Reduction and Neural Networks (3 papers). Andrew J. Meade collaborates with scholars based in United States and China. Andrew J. Meade's co-authors include Ariel Fernández, Yıldız Bayazıtoğlu, Xiao Xu, B. A. Zeldin, Lewis B. Schiff, Jeremy Alan Templeton, Enrique V. Barrera, Jonathan Lee, Patrick E. Rodi and Ali Mokhtarzadeh and has published in prestigious journals such as International Journal of Heat and Mass Transfer, AIAA Journal and Journal of Heat Transfer.

In The Last Decade

Andrew J. Meade

30 papers receiving 462 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Andrew J. Meade	211	119	107	101	85	31	494
Enrico Schiassi	290 1.4×	100 0.8×	99 0.9×	32 0.3×	60 0.7×	22	549
Mario De Florio	266 1.3×	101 0.8×	89 0.8×	29 0.3×	51 0.6×	19	441
D.G. Papageorgiou	280 1.3×	97 0.8×	91 0.9×	19 0.2×	45 0.5×	19	533
Harry H. Denman	158 0.7×	25 0.2×	37 0.3×	63 0.6×	31 0.4×	43	550
Xuejuan Li	49 0.2×	90 0.8×	60 0.6×	32 0.3×	63 0.7×	30	449
Amirreza Khodadadian	65 0.3×	18 0.2×	144 1.3×	82 0.8×	88 1.0×	34	483
Eman Salem Alaidarous	73 0.3×	82 0.7×	124 1.2×	129 1.3×	164 1.9×	32	541
Wantao Jia	251 1.2×	18 0.2×	38 0.4×	34 0.3×	118 1.4×	38	427
B. Ravindra	125 0.6×	23 0.2×	71 0.7×	33 0.3×	17 0.2×	21	509
Daniel Zhengyu Huang	168 0.8×	86 0.7×	110 1.0×	61 0.6×	4 0.0×	25	477

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

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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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