Mohamed E. Eleshaky

689 total citations
20 papers, 543 citations indexed

About

Mohamed E. Eleshaky is a scholar working on Computational Mechanics, Aerospace Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Mohamed E. Eleshaky has authored 20 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 7 papers in Aerospace Engineering and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Mohamed E. Eleshaky's work include Computational Fluid Dynamics and Aerodynamics (14 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). Mohamed E. Eleshaky is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (14 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). Mohamed E. Eleshaky collaborates with scholars based in United States, Kuwait and Egypt. Mohamed E. Eleshaky's co-authors include Oktay Baysal, Greg W. Burgreen, Walter C. Engelund, A.A. Abdel-Rahman, N.M. Al‐Najem and M.A. Darwish and has published in prestigious journals such as AIAA Journal, Tribology International and Journal of Fluids Engineering.

In The Last Decade

Mohamed E. Eleshaky

19 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed E. Eleshaky United States 12 399 148 118 110 99 20 543
Vamshi Korivi United States 17 464 1.2× 121 0.8× 59 0.5× 88 0.8× 102 1.0× 44 621
A. Dadone Italy 14 484 1.2× 144 1.0× 44 0.4× 163 1.5× 23 0.2× 79 639
Sriram Shankaran United States 14 428 1.1× 261 1.8× 49 0.4× 51 0.5× 36 0.4× 31 549
Andrew Crowell United States 13 443 1.1× 207 1.4× 45 0.4× 83 0.8× 162 1.6× 33 617
Woodrow Whitlow United States 11 412 1.0× 318 2.1× 25 0.2× 90 0.8× 53 0.5× 28 587
Matteo Pini Netherlands 19 444 1.1× 374 2.5× 443 3.8× 107 1.0× 94 0.9× 68 864
Anıl Yıldırım United States 10 333 0.8× 248 1.7× 38 0.3× 87 0.8× 95 1.0× 34 521
Robert E. Bartels United States 15 605 1.5× 399 2.7× 52 0.4× 65 0.6× 209 2.1× 67 816
Her Mann Tsai Singapore 14 372 0.9× 266 1.8× 37 0.3× 34 0.3× 64 0.6× 36 468
L. Cambier France 5 488 1.2× 417 2.8× 67 0.6× 69 0.6× 27 0.3× 9 606

Countries citing papers authored by Mohamed E. Eleshaky

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed E. Eleshaky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed E. Eleshaky. 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 Mohamed E. Eleshaky. The network helps show where Mohamed E. Eleshaky may publish in the future.

Co-authorship network of co-authors of Mohamed E. Eleshaky

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed E. Eleshaky. A scholar is included among the top collaborators of Mohamed E. Eleshaky 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 Mohamed E. Eleshaky. Mohamed E. Eleshaky 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.
Eleshaky, Mohamed E.. (2019). A Computational Aerodynamic Design Optimization Method Using Sensitivity Analysis. ODU Digital Commons (Old Dominion University).
2.
Eleshaky, Mohamed E., et al.. (2009). Effect of partial rotor-to-stator rub on shaft vibration. Journal of Mechanical Science and Technology. 23(1). 170–182. 19 indexed citations
3.
Eleshaky, Mohamed E.. (2009). CFD investigation of pressure depressions in aerostatic circular thrust bearings. Tribology International. 42(7). 1108–1117. 83 indexed citations
4.
Darwish, M.A., et al.. (2009). Alternative primary energy for power desalting plants in Kuwait: the nuclear option II — The steam cycle and its combination with desalting units. Desalination and Water Treatment. 1(1-3). 42–57. 5 indexed citations
5.
Eleshaky, Mohamed E.. (2008). On the Dynamics of Environmental Pollution: Simulation of the near Field of a Jet in Crossflow. Energy & Environment. 19(2). 263–280. 2 indexed citations
6.
Abdel-Rahman, A.A. & Mohamed E. Eleshaky. (2004). Diffusion characteristics of a plane jet discharged in a wavy crossflowing stream. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 218(4). 411–423. 3 indexed citations
7.
Eleshaky, Mohamed E. & Oktay Baysal. (1998). Shape Optimizing Nacelle near Flat-Plate Wing Using Multiblock Sensitivity Analysis. Journal of Aircraft. 35(1). 33–38. 5 indexed citations
8.
Burgreen, Greg W., Oktay Baysal, & Mohamed E. Eleshaky. (1994). Improving the efficiency of aerodynamic shape optimization. AIAA Journal. 32(1). 69–76. 42 indexed citations
9.
Eleshaky, Mohamed E. & Oktay Baysal. (1994). Preconditioned domain decomposition scheme for three-dimensional aerodynamic sensitivity analysis. AIAA Journal. 32(12). 2489–2491. 11 indexed citations
10.
Eleshaky, Mohamed E. & Oktay Baysal. (1994). Design of 3-D nacelle near flat-plate wing using multiblock sensitivity analysis (ADOS). 32nd Aerospace Sciences Meeting and Exhibit. 11 indexed citations
11.
Eleshaky, Mohamed E. & Oktay Baysal. (1994). Discrete aerodynamic sensitivity analysis on decomposed computational domains. Computers & Fluids. 23(4). 595–611. 13 indexed citations
12.
Baysal, Oktay, Mohamed E. Eleshaky, & Greg W. Burgreen. (1993). Aerodynamic shape optimization using sensitivity analysis on third-order Euler equations. Journal of Aircraft. 30(6). 953–961. 20 indexed citations
13.
Eleshaky, Mohamed E. & Oktay Baysal. (1993). Airfoil Shape Optimization Using Sensitivity Analysis on Viscous Flow Equations. Journal of Fluids Engineering. 115(1). 75–84. 46 indexed citations
14.
Eleshaky, Mohamed E. & Oktay Baysal. (1992). Aerodynamic shape optimization via sensitivity analysis on decomposed computational domains. 13 indexed citations
15.
Baysal, Oktay & Mohamed E. Eleshaky. (1992). Aerodynamic design optimization using sensitivity analysis and computational fluid dynamics. AIAA Journal. 30(3). 718–725. 132 indexed citations
16.
Burgreen, Greg W., Oktay Baysal, & Mohamed E. Eleshaky. (1992). Improving the efficiency of aerodynamic shape optimization procedures. 15 indexed citations
17.
Baysal, Oktay, Mohamed E. Eleshaky, & Walter C. Engelund. (1992). Computations of multispecies mixing between scramjet nozzle flow andhypersonic freestream. Journal of Propulsion and Power. 8(2). 500–506. 6 indexed citations
18.
Baysal, Oktay, Mohamed E. Eleshaky, & Greg W. Burgreen. (1991). Aerodynamic shape optimization using sensitivity analysis on third-order Euler equations. 12 indexed citations
19.
Baysal, Oktay & Mohamed E. Eleshaky. (1991). Aerodynamic Sensitivity Analysis Methods for the Compressible Euler Equations. Journal of Fluids Engineering. 113(4). 681–688. 100 indexed citations
20.
Engelund, Walter C., et al.. (1989). Adaptive computations of multispecies mixing between scramjet nozzleflows and hypersonic freestream. 27th Aerospace Sciences Meeting. 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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