N. YU

74 total papers · 1.0k total citations
46 papers, 723 citations indexed

About

N. YU is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, N. YU has authored 46 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Mechanics, 20 papers in Aerospace Engineering and 10 papers in Applied Mathematics. Recurrent topics in N. YU's work include Computational Fluid Dynamics and Aerodynamics (27 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Gas Dynamics and Kinetic Theory (10 papers). N. YU is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (27 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Gas Dynamics and Kinetic Theory (10 papers). N. YU collaborates with scholars based in United States, France and Australia. N. YU's co-authors include Edward N. Tinoco, Forrester T. Johnson, David P. Young, A. R. Seebass, Paul E. Rubbert, H. Sobieczky, R. Seebass, Guy Delrieu, Brice Boudevillain and R. Uijlenhoet and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and AIAA Journal.

In The Last Decade

N. YU

45 papers receiving 656 citations

Author Peers

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

Author Last Decade Papers Cites
N. YU 507 284 127 116 96 46 723
D. MCRAE 488 1.0× 131 0.5× 135 1.1× 35 0.3× 70 0.7× 56 731
E. V. Laitone 471 0.9× 400 1.4× 79 0.6× 53 0.5× 46 0.5× 45 880
Jan Vos 474 0.9× 372 1.3× 108 0.9× 47 0.4× 22 0.2× 64 631
R. Seebass 540 1.1× 397 1.4× 114 0.9× 39 0.3× 16 0.2× 30 658
Éric Laurendeau 528 1.0× 585 2.1× 42 0.3× 74 0.6× 123 1.3× 92 804
Ernst Heinrich Hirschel 556 1.1× 350 1.2× 231 1.8× 26 0.2× 20 0.2× 48 737
S. I. Chernyshenko 767 1.5× 201 0.7× 28 0.2× 124 1.1× 37 0.4× 61 868
Cord-Christian Rossow 726 1.4× 421 1.5× 169 1.3× 96 0.8× 12 0.1× 44 834
V. Venkatakrishnan 660 1.3× 279 1.0× 185 1.5× 22 0.2× 23 0.2× 19 826
Michael F. Barad 636 1.3× 280 1.0× 154 1.2× 23 0.2× 72 0.8× 48 854

Countries citing papers authored by N. YU

Since Specialization
Citations

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

Fields of papers citing papers by N. YU

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. YU

This figure shows the co-authorship network connecting the top 25 collaborators of N. YU. A scholar is included among the top collaborators of N. YU 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 N. YU. N. YU 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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