M. A. Leschziner

7.8k total citations
157 papers, 5.7k citations indexed

About

M. A. Leschziner is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, M. A. Leschziner has authored 157 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Computational Mechanics, 57 papers in Aerospace Engineering and 40 papers in Environmental Engineering. Recurrent topics in M. A. Leschziner's work include Fluid Dynamics and Turbulent Flows (127 papers), Computational Fluid Dynamics and Aerodynamics (46 papers) and Wind and Air Flow Studies (40 papers). M. A. Leschziner is often cited by papers focused on Fluid Dynamics and Turbulent Flows (127 papers), Computational Fluid Dynamics and Aerodynamics (46 papers) and Wind and Air Flow Studies (40 papers). M. A. Leschziner collaborates with scholars based in United Kingdom, United States and Germany. M. A. Leschziner's co-authors include Fue‐Sang Lien, W. Rodi, Sylvain Lardeau, L. Temmerman, Lionel Agostini, David Apsley, Paul Batten, B. E. Launder, Jochen Fröhlich and Emile Touber and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

M. A. Leschziner

154 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Leschziner United Kingdom 42 5.0k 2.1k 1.6k 1.2k 458 157 5.7k
T. B. Gatski United States 22 3.3k 0.7× 1.5k 0.7× 1.6k 1.0× 655 0.6× 346 0.8× 68 4.5k
Massimo Germano Italy 14 6.0k 1.2× 1.9k 0.9× 2.6k 1.6× 747 0.6× 745 1.6× 38 7.1k
Charles G. Speziale United States 36 6.8k 1.4× 2.4k 1.1× 3.4k 2.1× 1.5k 1.2× 724 1.6× 134 8.9k
Paul A. Durbin United States 47 7.6k 1.5× 3.5k 1.7× 2.7k 1.7× 2.4k 2.0× 773 1.7× 170 8.9k
Chaoqun Liu United States 33 3.4k 0.7× 1.7k 0.8× 591 0.4× 1.0k 0.9× 330 0.7× 209 4.8k
F. Ducros France 18 4.6k 0.9× 2.2k 1.0× 993 0.6× 708 0.6× 376 0.8× 26 5.5k
Neil D. Sandham United Kingdom 48 7.2k 1.5× 4.3k 2.0× 1.5k 0.9× 813 0.7× 718 1.6× 214 7.8k
V. C. Patel United States 35 4.8k 1.0× 1.6k 0.8× 1.6k 1.0× 1.3k 1.1× 959 2.1× 135 6.4k
Donald Coles United States 18 3.5k 0.7× 1.3k 0.6× 1.4k 0.9× 503 0.4× 386 0.8× 37 4.2k
J. C. R. Hunt United Kingdom 25 3.5k 0.7× 1.7k 0.8× 1.5k 0.9× 591 0.5× 590 1.3× 67 5.1k

Countries citing papers authored by M. A. Leschziner

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Leschziner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Leschziner. 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 M. A. Leschziner. The network helps show where M. A. Leschziner may publish in the future.

Co-authorship network of co-authors of M. A. Leschziner

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Leschziner. A scholar is included among the top collaborators of M. A. Leschziner 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 M. A. Leschziner. M. A. Leschziner 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.
Agostini, Lionel, Emile Touber, & M. A. Leschziner. (2014). Spanwise oscillatory wall motion in channel flow: drag-reduction mechanisms inferred from DNS-predicted phase-wise property variations at. Journal of Fluid Mechanics. 743. 606–635. 66 indexed citations
2.
Leschziner, M. A., G. Fishpool, & Sylvain Lardeau. (2009). TURBULENT SHEAR FLOW: A PARADIGMATIC MULTISCALE PHENOMENON. 1(2). 197–222. 2 indexed citations
3.
Leschziner, M. A.. (2007). Statistical Modelling and Simulation of Turbulent Separated Flows : limits, hard lessons and symbiotic relationships :. 2007. 5–21. 1 indexed citations
4.
Li, Ning & M. A. Leschziner. (2007). Large-eddy simulation of flow over a swept wing with approximate near-wall modeling. 45th AIAA Aerospace Sciences Meeting and Exhibit. 3 indexed citations
5.
Humphrey, J. A. C., et al.. (2005). Turbulence and shear flow phenomena-4 : Fourth International Symposium, June 27-29, 2005, Williamsburg, VA. 1 indexed citations
6.
Leschziner, M. A., et al.. (2004). Modelling two- and three-dimensional separation from curved surfaces with anisotropy-resolving turbulence closures. International Journal of Heat and Fluid Flow. 25(3). 499–512. 39 indexed citations
7.
Hirschel, Ernst Heinrich, Kozo Fujii, Werner Haase, et al.. (1999). Portable Parallelization of Industrial Aerodynamic Applications (POPINDA). 3 indexed citations
8.
Batten, Paul, et al.. (1999). Reynolds-Stress-Transport Modeling for Compressible Aerodynamics Applications. AIAA Journal. 37(7). 785–797. 69 indexed citations
9.
Lien, Fue‐Sang & M. A. Leschziner. (1999). Computational Modelling of a Transitional 3D Turbine-cascade Flow using a Modified Low-Re k — ε Model and a Multi-block Scheme. International journal of computational fluid dynamics. 12(1). 1–15. 17 indexed citations
10.
Zhou, Qiang & M. A. Leschziner. (1999). An improved particle-locating algorithm for Eulerian-Lagrangian computations of two-phase flows in general coordinates. International Journal of Multiphase Flow. 25(5). 813–825. 33 indexed citations
11.
Leschziner, M. A., et al.. (1997). Modeling and Computation in Environmental Sciences. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations
12.
Smith, Richard J. & M. A. Leschziner. (1996). Automatic grid generation for complex geometries. The Aeronautical Journal. 100(991). 7–14. 3 indexed citations
13.
Leschziner, M. A., et al.. (1993). Calculation of single and multiple jets in cross-flow with and without impingement using Reynolds-stress-transport closure. In AGARD. 4 indexed citations
15.
Zhou, Qi & M. A. Leschziner. (1991). A time-correlated stochastic model for particle dispersion in anisotropic turbulence. 1. 35 indexed citations
16.
Leschziner, M. A., et al.. (1989). Multilevel convergence acceleration for viscous and turbulent transonic flows computed with a cell-vertex method. SIAM Journal on Control and Optimization. 130–148. 5 indexed citations
17.
Lin, Chao‐An & M. A. Leschziner. (1989). Computation of three-dimensional injection into swirling combustor-model flow with second-moment closure. 6. 1711–1723. 1 indexed citations
18.
Fu, Song, B. E. Launder, & M. A. Leschziner. (1987). Modelling strongly swirling recirculating jet flow with Reynolds-stress transport closures. 93 indexed citations
19.
Leschziner, M. A. & William Rodi. (1980). Calculation of annular and twin parallel jets using various discretization schemes and turbulence model variants. NASA STI/Recon Technical Report N. 82. 12383. 8 indexed citations
20.
Leonard, B. P., et al.. (1978). Third-order finite-difference method for steady two-dimensional convection. 807. 20 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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