Ganesh Vijayakumar

1.2k total citations
61 papers, 751 citations indexed

About

Ganesh Vijayakumar is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Ganesh Vijayakumar has authored 61 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Aerospace Engineering, 29 papers in Computational Mechanics and 29 papers in Environmental Engineering. Recurrent topics in Ganesh Vijayakumar's work include Wind and Air Flow Studies (29 papers), Wind Energy Research and Development (27 papers) and Fluid Dynamics and Turbulent Flows (15 papers). Ganesh Vijayakumar is often cited by papers focused on Wind and Air Flow Studies (29 papers), Wind Energy Research and Development (27 papers) and Fluid Dynamics and Turbulent Flows (15 papers). Ganesh Vijayakumar collaborates with scholars based in United States, India and Spain. Ganesh Vijayakumar's co-authors include James G. Brasseur, Matthew Churchfield, Patrick Moriarty, Luis A. Martínez‐Tossas, Shreyas Ananthan, Stefano Leonardi, Sang Lee, Michael Sprague, K.K. Rajan and Michael Robinson and has published in prestigious journals such as Renewable Energy, AIAA Journal and Energies.

In The Last Decade

Ganesh Vijayakumar

59 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganesh Vijayakumar United States 12 518 379 360 107 91 61 751
Yiqing Xiao China 14 395 0.8× 458 1.2× 434 1.2× 100 0.9× 30 0.3× 46 821
Murat Tutkun Norway 17 307 0.6× 270 0.7× 389 1.1× 65 0.6× 30 0.3× 52 716
Søren Juhl Andersen Denmark 16 788 1.5× 513 1.4× 413 1.1× 33 0.3× 142 1.6× 60 873
Stefan Ivanell Sweden 18 1.4k 2.7× 958 2.5× 945 2.6× 120 1.1× 181 2.0× 87 1.6k
Jörg Schlüter Singapore 19 677 1.3× 204 0.5× 897 2.5× 42 0.4× 47 0.5× 76 1.2k
Giacomo Valerio Iungo United States 23 1.1k 2.2× 1.0k 2.7× 788 2.2× 162 1.5× 159 1.7× 73 1.5k
Sina Shamsoddin Switzerland 9 973 1.9× 701 1.8× 474 1.3× 43 0.4× 140 1.5× 9 1.1k
Bernhard Stoevesandt Germany 17 661 1.3× 418 1.1× 398 1.1× 36 0.3× 92 1.0× 64 776
Abdollah Khodadoust United States 14 806 1.6× 137 0.4× 684 1.9× 220 2.1× 34 0.4× 34 1.2k
Mahdi Abkar Denmark 24 1.2k 2.3× 1.1k 2.8× 953 2.6× 159 1.5× 124 1.4× 62 1.7k

Countries citing papers authored by Ganesh Vijayakumar

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh Vijayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Vijayakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesh Vijayakumar. A scholar is included among the top collaborators of Ganesh Vijayakumar 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 Ganesh Vijayakumar. Ganesh Vijayakumar 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.
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.
Vijayakumar, Ganesh, et al.. (2025). Freestream turbulence effects on unsteady wind turbine loads and wakes: An IDDES study. Journal of Wind Engineering and Industrial Aerodynamics. 267. 106211–106211.
3.
Vijayakumar, Ganesh, et al.. (2024). Aerodynamic and production comparison of wind farms with downwind versus conventional upwind turbines. Journal of Physics Conference Series. 2767(9). 92008–92008. 1 indexed citations
4.
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
5.
Martínez‐Tossas, Luis A., et al.. (2023). A baseline for ensemble-based, time-resolved inflow reconstruction for a single turbine using large-eddy simulations and latent diffusion models. Journal of Physics Conference Series. 2505(1). 12018–12018. 3 indexed citations
6.
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
7.
Yellapantula, Shashank, et al.. (2022). Aerodynamic analysis of wind loading on parabolic trough collectors using high-fidelity CFD modeling. AIP conference proceedings. 2445. 30023–30023. 4 indexed citations
8.
Vijayakumar, Ganesh, et al.. (2022). Local correlation-based transition models for high-Reynolds-number wind-turbine airfoils. Wind energy science. 7(2). 603–622. 8 indexed citations
10.
Vijayakumar, Ganesh, et al.. (2021). Local Correlation-based Transition Models for High-Reynolds-Number Wind Turbine Airfoils. 3 indexed citations
11.
Sethuraman, Latha, Ganesh Vijayakumar, Shreyas Ananthan, et al.. (2021). MADE3D: Enabling the next generation of high-torque density wind generators by additive design and 3D printing. Forschung im Ingenieurwesen. 85(2). 287–311. 5 indexed citations
12.
Martínez‐Tossas, Luis A., Emmanuel Branlard, Kelsey Shaler, et al.. (2021). Numerical investigation of wind turbine wakes under high thrust coefficient. Wind Energy. 25(4). 605–617. 13 indexed citations
13.
Cheung, Lawrence, et al.. (2021). Computation and comparison of the stable Northeastern US marine boundary layer. AIAA Scitech 2021 Forum. 6 indexed citations
14.
Rajan, K.K., et al.. (2015). Development of side wall type permanent magnet flowmeter for sodium flow measurement in large pipes of SFRs. Flow Measurement and Instrumentation. 42. 69–77. 7 indexed citations
15.
Brasseur, James G., et al.. (2014). Two Key Discoveries on Atmospheric Turbulent Wind Forcing of Nonsteady Wind Turbine Loadings, from HPC. Bulletin of the American Physical Society. 1 indexed citations
16.
Brasseur, James G., Eric G. Paterson, Sven Schmitz, et al.. (2013). A ``Cyber Wind Facility'' for HPC Wind Turbine Field Experiments. Bulletin of the American Physical Society. 2013. 1 indexed citations
17.
Kumar, Pradeep, et al.. (2013). In-situ calibration of permanent magnet flow meters in PFBR using noise analysis technique. Flow Measurement and Instrumentation. 34. 76–82. 10 indexed citations
18.
Vijayakumar, Ganesh, et al.. (2011). Inherent Variability in Short-time Wind Turbine Statistics from Turbulence Structure in the Atmospheric Surface Layer. Bulletin of the American Physical Society. 3 indexed citations
19.
Vijayakumar, Ganesh, B.K. Nashine, K.K. Rajan, & P. Kalyanasundaram. (2011). Development and Testing of PM Flowmeter with Samarium Cobalt Magnet Assembly. Energy Procedia. 7. 630–637. 9 indexed citations
20.
Churchfield, Matthew, Ganesh Vijayakumar, James G. Brasseur, & Patrick Moriarty. (2010). Wind Energy-Related Atmospheric Boundary Layer Large-Eddy Simulation Using OpenFOAM: Preprint. University of North Texas Digital Library (University of North Texas). 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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