David Levy

1.2k total citations
30 papers, 938 citations indexed

About

David Levy is a scholar working on Computational Mechanics, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, David Levy has authored 30 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 10 papers in Aerospace Engineering and 7 papers in Artificial Intelligence. Recurrent topics in David Levy's work include Computational Fluid Dynamics and Aerodynamics (16 papers), Fluid Dynamics and Turbulent Flows (15 papers) and Quantum Information and Cryptography (7 papers). David Levy is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (16 papers), Fluid Dynamics and Turbulent Flows (15 papers) and Quantum Information and Cryptography (7 papers). David Levy collaborates with scholars based in United States, Japan and Australia. David Levy's co-authors include Dimitri J. Mavriplis, Richard A. Wahls, John Vassberg, Olaf Brodersen, Edward N. Tinoco, Mitsuhiro Murayama, Mori Mani, Ben Rider, Simone Crippa and Tom Zickuhr and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Computers and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

David Levy

25 papers receiving 904 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Levy United States 13 786 418 229 101 70 30 938
Jeffrey P. Slotnick United States 17 1.1k 1.4× 644 1.5× 138 0.6× 190 1.9× 47 0.7× 28 1.3k
Dmitri Sharov United States 17 934 1.2× 417 1.0× 218 1.0× 46 0.5× 43 0.6× 31 1.1k
Robert Meakin United States 18 976 1.2× 472 1.1× 226 1.0× 56 0.6× 18 0.3× 26 1.1k
Shahyar Pirzadeh United States 20 1.2k 1.5× 499 1.2× 287 1.3× 66 0.7× 51 0.7× 35 1.4k
Terry L. Holst United States 20 990 1.3× 509 1.2× 281 1.2× 62 0.6× 42 0.6× 82 1.2k
Edward N. Tinoco United States 21 1.5k 1.9× 928 2.2× 371 1.6× 185 1.8× 162 2.3× 54 1.7k
P. G. Buning United States 12 955 1.2× 449 1.1× 243 1.1× 55 0.5× 19 0.3× 21 1.1k
Neal T. Frink United States 23 1.6k 2.0× 970 2.3× 410 1.8× 114 1.1× 85 1.2× 78 1.7k
Atsushi Hashimoto Japan 16 751 1.0× 511 1.2× 169 0.7× 106 1.0× 42 0.6× 120 951
Roy Hartfield United States 19 733 0.9× 954 2.3× 156 0.7× 43 0.4× 146 2.1× 138 1.3k

Countries citing papers authored by David Levy

Since Specialization
Citations

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

Fields of papers citing papers by David Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Levy

This figure shows the co-authorship network connecting the top 25 collaborators of David Levy. A scholar is included among the top collaborators of David Levy 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 David Levy. David Levy 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.
Levy, David, et al.. (2024). Leveraging Data Locality in Quantum Convolutional Classifiers. Entropy. 26(6). 461–461.
2.
Levy, David, et al.. (2024). Optimizing Multidimensional Pooling for Variational Quantum Algorithms. Algorithms. 17(2). 82–82.
3.
El‐Araby, Esam, et al.. (2023). Towards Complete and Scalable Emulation of Quantum Algorithms on High-Performance Reconfigurable Computers. IEEE Transactions on Computers. 72(8). 2350–2364. 15 indexed citations
4.
Levy, David, et al.. (2023). Generalized Quantum Convolution for Multidimensional Data. Entropy. 25(11). 1503–1503. 2 indexed citations
5.
Levy, David, et al.. (2023). Improving quantum-to-classical data decoding using optimized quantum wavelet transform. The Journal of Supercomputing. 79(18). 20532–20561. 5 indexed citations
6.
Levy, David, et al.. (2023). Multidimensional Quantum Convolution with Arbitrary Filtering and Unity Stride. 260–261. 1 indexed citations
7.
Levy, David, Kelly Laflin, John Vassberg, et al.. (2013). Summary of Data from the Fifth AIAA CFD Drag Prediction Workshop. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 101 indexed citations
8.
Gorton, Ian, Yan Liu, Heiko Koziolek, et al.. (2012). Welcome to the 1st international workshop on Software Engineering for the Smart Grid (SE4SG 2012). Swinburne Research Bank (Swinburne University of Technology). iii–iii.
9.
Vassberg, John, Edward N. Tinoco, Mori Mani, et al.. (2010). Summary of the Fourth AIAA CFD Drag Prediction Workshop. NASA STI Repository (National Aeronautics and Space Administration). 187 indexed citations
10.
Mavriplis, Dimitri J., John Vassberg, Edward N. Tinoco, et al.. (2009). Grid Quality and Resolution Issues from the Drag Prediction Workshop Series. Journal of Aircraft. 46(3). 935–950. 80 indexed citations
11.
Vassberg, John, Olaf Brodersen, Richard A. Wahls, et al.. (2008). Comparison of NTF Experimental Data with CFD Predictions from the Third AIAA CFD Drag Prediction Workshop. NASA STI Repository (National Aeronautics and Space Administration). 12 indexed citations
12.
Mavriplis, Dimitri J., John Vassberg, Edward N. Tinoco, et al.. (2008). Grid Quality and Resolution Issues from the Drag Prediction Workshop Series. 46th AIAA Aerospace Sciences Meeting and Exhibit. 27 indexed citations
13.
Mavriplis, Dimitri J. & David Levy. (2005). Transonic Drag Prediction Using an Unstructured Multigrid Solver. Journal of Aircraft. 42(4). 887–893. 43 indexed citations
14.
Levy, David, Tom Zickuhr, John Vassberg, et al.. (2003). Data Summary from First AIAA Computational Fluid Dynamics Drag Prediction Workshop. Journal of Aircraft. 40(5). 1 indexed citations
15.
Levy, David, Tom Zickuhr, John Vassberg, et al.. (2002). AIAA 2002-0841 Summary of Data from the. 1 indexed citations
16.
Levy, David, et al.. (1997). Reduced Vertical Separation Minimum for General Aviation Aircraft. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
17.
Levy, David, et al.. (1994). Validation of computational Euler solutions for a high speed business jet. 4 indexed citations
18.
Levy, David, Kenneth G. Powell, & Bram van Leer. (1993). Use of a rotated Riemann solver for the two-dimensional Euler equations. Journal of Computational Physics. 106(2). 201–214. 66 indexed citations
19.
Levy, David & Jan Roskam. (1984). Use of Differential Pressure Feedback in an Automatic Flight Control System. Journal of Guidance Control and Dynamics. 7(2). 250–251. 1 indexed citations
20.
Levy, David, et al.. (1981). A program to evaluate a control system based on feedback of aerodynamic pressure differentials. Part 2: Data report for phase 1 wind tunnel test. NASA Technical Reports Server (NASA). 1 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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