Laslo T. Diosady

525 total citations
30 papers, 375 citations indexed

About

Laslo T. Diosady is a scholar working on Computational Mechanics, Aerospace Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Laslo T. Diosady has authored 30 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 13 papers in Aerospace Engineering and 6 papers in Computational Theory and Mathematics. Recurrent topics in Laslo T. Diosady's work include Computational Fluid Dynamics and Aerodynamics (17 papers), Advanced Numerical Methods in Computational Mathematics (14 papers) and Fluid Dynamics and Turbulent Flows (11 papers). Laslo T. Diosady is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (17 papers), Advanced Numerical Methods in Computational Mathematics (14 papers) and Fluid Dynamics and Turbulent Flows (11 papers). Laslo T. Diosady collaborates with scholars based in United States, Canada and Norway. Laslo T. Diosady's co-authors include Scott M. Murman, David Darmofal, Anirban Garai, Nateri K. Madavan, David W. Zingg, Marco Ceze, Patrick Blonigan, Hamed Sadeghi, Krzysztof Fidkowski and Nathan Burnside and has published in prestigious journals such as Journal of Computational Physics, Physics of Fluids and SIAM Journal on Numerical Analysis.

In The Last Decade

Laslo T. Diosady

30 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laslo T. Diosady United States 13 348 129 43 39 35 30 375
Gonzalo Rubio Spain 14 496 1.4× 81 0.6× 127 3.0× 36 0.9× 15 0.4× 53 560
Clarence Burg United States 9 252 0.7× 89 0.7× 19 0.4× 64 1.6× 22 0.6× 20 341
Marco Ceze United States 12 353 1.0× 70 0.5× 77 1.8× 29 0.7× 26 0.7× 26 392
Corentin Carton de Wiart Belgium 10 319 0.9× 119 0.9× 31 0.7× 17 0.4× 15 0.4× 17 341
Thomas Toulorge Belgium 12 295 0.8× 117 0.9× 16 0.4× 34 0.9× 14 0.4× 36 407
Bernhard Gatzhammer Germany 4 179 0.5× 81 0.6× 14 0.3× 16 0.4× 12 0.3× 6 274
Lee Shunn United States 8 368 1.1× 102 0.8× 10 0.2× 21 0.5× 16 0.5× 12 408
C.M. Klaij Netherlands 9 338 1.0× 44 0.3× 30 0.7× 80 2.1× 28 0.8× 20 380
Jean-Baptiste Chapelier France 11 267 0.8× 83 0.6× 31 0.7× 10 0.3× 17 0.5× 28 299
Florent Renac France 9 313 0.9× 86 0.7× 59 1.4× 34 0.9× 21 0.6× 38 346

Countries citing papers authored by Laslo T. Diosady

Since Specialization
Citations

This map shows the geographic impact of Laslo T. Diosady'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 Laslo T. Diosady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laslo T. Diosady more than expected).

Fields of papers citing papers by Laslo T. Diosady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laslo T. Diosady. 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 Laslo T. Diosady. The network helps show where Laslo T. Diosady may publish in the future.

Co-authorship network of co-authors of Laslo T. Diosady

This figure shows the co-authorship network connecting the top 25 collaborators of Laslo T. Diosady. A scholar is included among the top collaborators of Laslo T. Diosady 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 Laslo T. Diosady. Laslo T. Diosady 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.
Diosady, Laslo T. & Scott M. Murman. (2019). Scalable tensor-product preconditioners for high-order finite-element methods: Scalar equations. Journal of Computational Physics. 394. 759–776. 12 indexed citations
2.
Garai, Anirban, Laslo T. Diosady, Scott M. Murman, & Nateri K. Madavan. (2018). Scale-Resolving Simulations of Low-Pressure Turbine Cascades With Wall Roughness Using a Spectral-Element Method. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
3.
Wiart, Corentin Carton de, Laslo T. Diosady, Anirban Garai, et al.. (2018). Design of a modular monolithic implicit solver for multi-physics applications. 2018 AIAA Aerospace Sciences Meeting. 2 indexed citations
4.
Garai, Anirban, Laslo T. Diosady, Scott M. Murman, & Nateri K. Madavan. (2017). Scale-Resolving Simulations of Bypass Transition in a High-Pressure Turbine Cascade Using a Spectral-Element Discontinuous-Galerkin Method. NASA STI Repository (National Aeronautics and Space Administration). 7 indexed citations
5.
Murman, Scott M., Laslo T. Diosady, & Patrick Blonigan. (2017). Comparison of Transonic Buffet Simulations with Unsteady PSP Measurements for a Hammerhead Payload Fairing. 55th AIAA Aerospace Sciences Meeting. 7 indexed citations
6.
Fidkowski, Krzysztof, et al.. (2017). Error Minimization via Metric-Based Curved-Mesh Adaptation. Deep Blue (University of Michigan). 3 indexed citations
7.
Murman, Scott M., Laslo T. Diosady, Anirban Garai, & Marco Ceze. (2016). A Space-Time Discontinuous-Galerkin Approach for Separated Flows. 54th AIAA Aerospace Sciences Meeting. 17 indexed citations
8.
Ceze, Marco, Laslo T. Diosady, & Scott M. Murman. (2016). Development of a High-Order Space-Time Matrix-Free Adjoint Solver. 54th AIAA Aerospace Sciences Meeting. 13 indexed citations
9.
Diosady, Laslo T. & Scott M. Murman. (2016). Tensor-product preconditioners for higher-order space–time discontinuous Galerkin methods. Journal of Computational Physics. 330. 296–318. 19 indexed citations
10.
Garai, Anirban, Laslo T. Diosady, Scott M. Murman, & Nateri K. Madavan. (2016). Development of a Perfectly Matched Layer Technique for a Discontinuous-Galerkin Spectral-Element Method. 54th AIAA Aerospace Sciences Meeting. 7 indexed citations
11.
Murman, Scott M., Laslo T. Diosady, Anirban Garai, & Marco Ceze. (2016). A Space-Time Discontinuous-Galerkin Approach for Separated Flow. NASA STI Repository (National Aeronautics and Space Administration). 6 indexed citations
12.
Murman, Scott M., et al.. (2016). Unsteady PSP Measurements on a Rectangular Cube. 54th AIAA Aerospace Sciences Meeting. 5 indexed citations
13.
Diosady, Laslo T. & Scott M. Murman. (2015). Higher-Order Methods for Compressible Turbulent Flows Using Entropy Variables. 53rd AIAA Aerospace Sciences Meeting. 33 indexed citations
14.
Murman, Scott M. & Laslo T. Diosady. (2015). A Spectral-Element Approach for the Eikonal Equation. 1 indexed citations
15.
16.
Diosady, Laslo T. & Scott M. Murman. (2014). DNS of Flows over Periodic Hills using a Discontinuous Galerkin Spectral-Element Method. NASA STI Repository (National Aeronautics and Space Administration). 30 indexed citations
17.
Diosady, Laslo T. & David Darmofal. (2012). A Unified Analysis of Balancing Domain Decomposition by Constraints for Discontinuous Galerkin Discretizations. SIAM Journal on Numerical Analysis. 50(3). 1695–1712. 5 indexed citations
18.
Diosady, Laslo T. & David Darmofal. (2009). Preconditioning methods for discontinuous Galerkin solutions of the Navier–Stokes equations. Journal of Computational Physics. 228(11). 3917–3935. 64 indexed citations
19.
Zingg, David W., et al.. (2006). Adaptive Airfoils for Drag Reduction at Transonic Speeds. 29 indexed citations
20.
Zingg, David W., et al.. (2005). Improvements to a Newton-Krylov Adjoint Algorithm for Aerodynamic Optimization. 5 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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