Ashesh Sharma

931 total citations
17 papers, 739 citations indexed

About

Ashesh Sharma is a scholar working on Computational Mechanics, Civil and Structural Engineering and Aerospace Engineering. According to data from OpenAlex, Ashesh Sharma has authored 17 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 5 papers in Civil and Structural Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Ashesh Sharma's work include Advanced Numerical Methods in Computational Mathematics (6 papers), Topology Optimization in Engineering (5 papers) and Wind Energy Research and Development (4 papers). Ashesh Sharma is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (6 papers), Topology Optimization in Engineering (5 papers) and Wind Energy Research and Development (4 papers). Ashesh Sharma collaborates with scholars based in United States, Italy and United Kingdom. Ashesh Sharma's co-authors include Kurt Maute, Alberto Pizzolato, Vittorio Verda, Adriano Sciacovelli, Ruihuan Ge, Michael Sprague, Shreyas Ananthan, Ganesh Vijayakumar, Jayanarayanan Sitaraman and Stephen Thomas and has published in prestigious journals such as Journal of Computational Physics, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Ashesh Sharma

16 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashesh Sharma United States 11 465 280 244 131 129 17 739
Jaco Dirker South Africa 21 849 1.8× 133 0.5× 124 0.5× 29 0.2× 95 0.7× 75 1.1k
Jun Dong United States 14 271 0.6× 52 0.2× 107 0.4× 73 0.6× 117 0.9× 38 543
Giampietro Fabbri Italy 13 487 1.0× 77 0.3× 49 0.2× 29 0.2× 25 0.2× 39 636
A. Teyssedou Canada 14 276 0.6× 281 1.0× 41 0.2× 43 0.3× 28 0.2× 55 743
Sohail R. Reddy United States 13 124 0.3× 128 0.5× 47 0.2× 21 0.2× 38 0.3× 38 466
Kyu Hyung South Korea 12 727 1.6× 156 0.6× 46 0.2× 53 0.4× 11 0.1× 41 881
Chuan Sun China 11 170 0.4× 52 0.2× 189 0.8× 57 0.4× 343 2.7× 21 638
Hongtao Wang China 11 556 1.2× 26 0.1× 147 0.6× 27 0.2× 105 0.8× 33 754
Mojtaba Babaelahi Iran 22 879 1.9× 161 0.6× 22 0.1× 21 0.2× 69 0.5× 63 1.2k
Huaizhi Han China 15 658 1.4× 547 2.0× 47 0.2× 21 0.2× 16 0.1× 26 1.1k

Countries citing papers authored by Ashesh Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ashesh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashesh Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Ashesh Sharma. A scholar is included among the top collaborators of Ashesh Sharma 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 Ashesh Sharma. Ashesh Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kühn, Michael, Marc Henry de Frahan, Georgios Deskos, et al.. (2025). AMR‐Wind: A Performance‐Portable, High‐Fidelity Flow Solver for Wind Farm Simulations. Wind Energy. 28(5). 3 indexed citations
2.
Sharma, Ashesh, Michael Brazell, Ganesh Vijayakumar, et al.. (2024). ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows. Wind Energy. 27(3). 225–257. 22 indexed citations
3.
Sharma, Ashesh, et al.. (2023). Effect of the integral length scales of turbulent inflows on wind turbine loads. Renewable Energy. 217. 119218–119218. 13 indexed citations
4.
Vijayakumar, Ganesh, et al.. (2023). Mesh and model requirements for capturing deep-stall aerodynamics in low-Mach-number flows. Journal of Turbulence. 24(8). 393–418. 3 indexed citations
5.
Pawar, Suraj, Ashesh Sharma, Ganesh Vijayakumar, et al.. (2022). Towards multi-fidelity deep learning of wind turbine wakes. Renewable Energy. 200. 867–879. 16 indexed citations
6.
Ananthan, Shreyas, et al.. (2021). Preparing an Incompressible-Flow Fluid Dynamics Code for Exascale-Class Wind Energy Simulations.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
7.
Li, Ruipeng, Stephen Thomas, Shreyas Ananthan, et al.. (2021). Preparing an incompressible-flow fluid dynamics code for exascale-class wind energy simulations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–16. 4 indexed citations
8.
Sharma, Ashesh, Shreyas Ananthan, Jayanarayanan Sitaraman, Stephen Thomas, & Michael Sprague. (2020). Overset meshes for incompressible flows: On preserving accuracy of underlying discretizations. Journal of Computational Physics. 428. 109987–109987. 28 indexed citations
9.
Pizzolato, Alberto, Ashesh Sharma, Kurt Maute, Adriano Sciacovelli, & Vittorio Verda. (2019). Multi-scale topology optimization of multi-material structures with controllable geometric complexity — Applications to heat transfer problems. Computer Methods in Applied Mechanics and Engineering. 357. 112552–112552. 43 indexed citations
10.
Pizzolato, Alberto, Ashesh Sharma, Ruihuan Ge, et al.. (2019). Maximization of performance in multi-tube latent heat storage – Optimization of fins topology, effect of materials selection and flow arrangements. Energy. 203. 114797–114797. 99 indexed citations
11.
Sharma, Ashesh & Kurt Maute. (2017). Stress-based topology optimization using spatial gradient stabilized XFEM. Structural and Multidisciplinary Optimization. 57(1). 17–38. 49 indexed citations
12.
Sharma, Ashesh. (2017). Advances in Design and Optimization Using Immersed Boundary Methods. CU Scholar (University of Colorado Boulder). 3 indexed citations
13.
Pizzolato, Alberto, et al.. (2017). Topology optimization for heat transfer enhancement in Latent Heat Thermal Energy Storage. International Journal of Heat and Mass Transfer. 113. 875–888. 129 indexed citations
14.
Pizzolato, Alberto, Ashesh Sharma, Kurt Maute, Adriano Sciacovelli, & Vittorio Verda. (2017). Design of effective fins for fast PCM melting and solidification in shell-and-tube latent heat thermal energy storage through topology optimization. Applied Energy. 208. 210–227. 279 indexed citations
15.
Sharma, Ashesh, et al.. (2016). On shape sensitivities with heaviside-enriched XFEM. Structural and Multidisciplinary Optimization. 55(2). 385–408. 28 indexed citations
16.
Sharma, Ashesh & Bhavani V. Sankar. (2015). Micromechanics of Composites Using a Two-Parameter Model and Response Surface Predictions. AIAA Journal. 53(10). 2988–2994.
17.
Sharma, Ashesh, et al.. (2015). Heaviside enriched extended stochastic FEM for problems with uncertain material interfaces. Computational Mechanics. 56(5). 753–767. 19 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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