Lawrence Ukeiley

5.5k total citations · 1 hit paper
152 papers, 4.2k citations indexed

About

Lawrence Ukeiley is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Lawrence Ukeiley has authored 152 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Computational Mechanics, 125 papers in Aerospace Engineering and 19 papers in Environmental Engineering. Recurrent topics in Lawrence Ukeiley's work include Fluid Dynamics and Turbulent Flows (118 papers), Aerodynamics and Acoustics in Jet Flows (88 papers) and Computational Fluid Dynamics and Aerodynamics (38 papers). Lawrence Ukeiley is often cited by papers focused on Fluid Dynamics and Turbulent Flows (118 papers), Aerodynamics and Acoustics in Jet Flows (88 papers) and Computational Fluid Dynamics and Aerodynamics (38 papers). Lawrence Ukeiley collaborates with scholars based in United States, France and United Kingdom. Lawrence Ukeiley's co-authors include Nathan E. Murray, Mark Glauser, Kunihiko Taira, Clarence W. Rowley, John Seiner, Vassilios Theofilis, Steven L. Brunton, Beverley McKeon, Tim Colonius and Scott T. M. Dawson and has published in prestigious journals such as Journal of Fluid Mechanics, The Journal of the Acoustical Society of America and AIAA Journal.

In The Last Decade

Lawrence Ukeiley

146 papers receiving 4.1k citations

Hit Papers

Modal Analysis of Fluid Flows: An Overview 2017 2026 2020 2023 2017 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Modal Analysis of Fluid Flows: An Overview
    2017 1.2k citations Kunihiko Taira, Steven L. Brunton et al. AIAA Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Ukeiley United States 30 3.4k 2.7k 976 660 322 152 4.2k
Vassilios Theofilis Spain 34 4.7k 1.4× 2.2k 0.8× 824 0.8× 510 0.8× 189 0.6× 165 5.2k
Kunihiko Taira United States 29 4.2k 1.2× 2.4k 0.9× 1.8k 1.9× 485 0.7× 204 0.6× 138 5.4k
Koji Fukagata Japan 31 3.5k 1.1× 1.4k 0.5× 1.2k 1.2× 533 0.8× 322 1.0× 155 4.4k
Richard D. Sandberg Australia 37 4.3k 1.3× 3.5k 1.3× 793 0.8× 1.0k 1.5× 504 1.6× 307 5.3k
Shervin Bagheri Sweden 24 2.6k 0.8× 1.0k 0.4× 1.6k 1.6× 288 0.4× 250 0.8× 66 3.5k
Matthew P. Juniper United Kingdom 35 3.3k 1.0× 1.0k 0.4× 651 0.7× 674 1.0× 156 0.5× 127 3.8k
H. Bijl Netherlands 30 2.5k 0.7× 1.4k 0.5× 409 0.4× 849 1.3× 155 0.5× 148 3.8k
R. I. Sujith India 40 4.1k 1.2× 817 0.3× 1.3k 1.4× 1.2k 1.8× 283 0.9× 269 5.6k
Peter Jordan France 37 4.0k 1.2× 4.0k 1.5× 349 0.4× 1.1k 1.7× 866 2.7× 216 4.7k
Peter A. Monkewitz Switzerland 35 6.3k 1.9× 2.4k 0.9× 519 0.5× 1.8k 2.7× 457 1.4× 95 7.0k

Countries citing papers authored by Lawrence Ukeiley

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Ukeiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Ukeiley

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Ukeiley. A scholar is included among the top collaborators of Lawrence Ukeiley 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 Lawrence Ukeiley. Lawrence Ukeiley 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.
2.
Ifju, Peter, et al.. (2024). Acoustics and Forces from a Subscale Electric Vertical-Takeoff-and-Landing Rotor in Edgewise Flight. AIAA Journal. 1–16. 2 indexed citations
3.
Cattafesta, Louis N., et al.. (2024). Windowed Resolvent Analysis-Based Control of Supersonic Turbulent Cavity Flow. 1 indexed citations
4.
Ifju, Peter, et al.. (2023). Acoustics and forces from isolated and installed tandem eVTOL rotor configurations. AIAA SCITECH 2023 Forum. 2 indexed citations
5.
Singh, Surabhi, et al.. (2022). Supersonic Cavity Flow Control Using a Spanwise Array of Leading-Edge Tabs. Journal of Aircraft. 59(3). 788–798. 7 indexed citations
6.
Taira, Kunihiko, Steven L. Brunton, Scott T. M. Dawson, et al.. (2017). Modal Analysis of Fluid Flows: An Overview. AIAA Journal. 55(12). 4013–4041. 1234 indexed citations breakdown →
7.
Ukeiley, Lawrence, et al.. (2016). Three-Dimensional Averaged Flow And Wing Deformation Around Flexible Flapping Wings.
8.
Ukeiley, Lawrence, et al.. (2014). Force estimation from incompressible flow field data using a momentum balance approach. Experiments in Fluids. 55(1). 6 indexed citations
9.
Zawodny, Nikolas S., et al.. (2013). Characterization of Noise Generation on a Canonical Nose Landing Gear Sub-system. 4 indexed citations
10.
Ukeiley, Lawrence, et al.. (2013). Passively Compliant Membranes in Low Aspect Ratio Wings. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 3 indexed citations
11.
Wu, Pin, et al.. (2011). Structural dynamics and aerodynamics measurements of biologically inspired flexible flapping wings. Bioinspiration & Biomimetics. 6(1). 16009–16009. 61 indexed citations
12.
Ukeiley, Lawrence, et al.. (2011). Flow Field Effects of Control on Supersonic Open Cavities. 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 5 indexed citations
13.
Aono, Hikaru, Satish Kumar Chimakurthi, Pin Wu, et al.. (2010). A computational and experimental study of flexible flapping wing aerodynamics. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 29 indexed citations
14.
15.
Gee, Kent L., Anthony A. Atchley, Micah R. Shepherd, et al.. (2010). Bicoherence analysis of model-scale jet noise. The Journal of the Acoustical Society of America. 128(5). EL211–EL216. 23 indexed citations
16.
Arunajatesan, Srinivasan, et al.. (2009). Suppression of Cavity Loads Using Leading-Edge Blowing. AIAA Journal. 47(5). 1132–1144. 51 indexed citations
17.
Shumway, George, et al.. (2007). Flow Structure of Supersonic Cavity Flow with and Without Control. Bulletin of the American Physical Society. 60. 2 indexed citations
18.
Ukeiley, Lawrence, et al.. (2007). Spatial Correlations in a Transonic Jet. AIAA Journal. 45(6). 1357–1369. 37 indexed citations
19.
Ukeiley, Lawrence, John Seiner, Neeraj Sinha, & Srinivasan Arunajatesan. (2000). Low-Dimensional Description of Cavity Flows. APS Division of Fluid Dynamics Meeting Abstracts. 53. 2 indexed citations
20.
Ukeiley, Lawrence, et al.. (1997). Examination of Large Scale Structures in a Transonic Jet. APS Division of Fluid Dynamics Meeting Abstracts. 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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