Aswin Gnanaskandan

460 total citations
19 papers, 369 citations indexed

About

Aswin Gnanaskandan is a scholar working on Computational Mechanics, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Aswin Gnanaskandan has authored 19 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 9 papers in Mechanics of Materials and 6 papers in Biomedical Engineering. Recurrent topics in Aswin Gnanaskandan's work include Cavitation Phenomena in Pumps (9 papers), Fluid Dynamics Simulations and Interactions (5 papers) and Ultrasound and Cavitation Phenomena (5 papers). Aswin Gnanaskandan is often cited by papers focused on Cavitation Phenomena in Pumps (9 papers), Fluid Dynamics Simulations and Interactions (5 papers) and Ultrasound and Cavitation Phenomena (5 papers). Aswin Gnanaskandan collaborates with scholars based in United States. Aswin Gnanaskandan's co-authors include Krishnan Mahesh, Chao-Tsung Hsiao, Josette Bellan, Georges L. Chahine, Praveen Kumar, Michalakis A. Averkiou, Amir Mansouri and Jingsen Ma and has published in prestigious journals such as Journal of Fluid Mechanics, The Journal of the Acoustical Society of America and Physics of Fluids.

In The Last Decade

Aswin Gnanaskandan

19 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aswin Gnanaskandan United States 10 255 249 85 84 65 19 369
Khodayar Javadi Iran 10 178 0.7× 246 1.0× 103 1.2× 121 1.4× 34 0.5× 39 377
Tom J.C. van Terwisga Netherlands 12 380 1.5× 265 1.1× 83 1.0× 154 1.8× 131 2.0× 25 479
Zhaoxin Gong China 12 220 0.9× 391 1.6× 108 1.3× 109 1.3× 43 0.7× 25 478
Masatsugu Maeda Japan 8 211 0.8× 158 0.6× 50 0.6× 85 1.0× 71 1.1× 23 326
Byeong Rog Shin South Korea 10 186 0.7× 232 0.9× 92 1.1× 117 1.4× 24 0.4× 28 348
Shridhar Gopalan United States 6 346 1.4× 320 1.3× 149 1.8× 201 2.4× 49 0.8× 10 482
Еlena Strelnіkova Ukraine 12 114 0.4× 145 0.6× 32 0.4× 46 0.5× 45 0.7× 54 318
Bangxiang Che China 11 359 1.4× 231 0.9× 105 1.2× 218 2.6× 56 0.9× 22 417
Xiaorui Bai China 12 555 2.2× 380 1.5× 143 1.7× 304 3.6× 73 1.1× 17 638
Б. Н. Семенов Russia 9 93 0.4× 170 0.7× 75 0.9× 119 1.4× 68 1.0× 45 385

Countries citing papers authored by Aswin Gnanaskandan

Since Specialization
Citations

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

Fields of papers citing papers by Aswin Gnanaskandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aswin Gnanaskandan

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

All Works

19 of 19 papers shown
1.
Gnanaskandan, Aswin, et al.. (2025). Euler–Lagrange simulation of slurry droplet evaporation in spray drying using a kinetics-based drying model. Physics of Fluids. 37(4). 1 indexed citations
2.
Gnanaskandan, Aswin, et al.. (2024). Modeling the evaporation and drying of two-component slurry droplets. Physics of Fluids. 36(8). 3 indexed citations
3.
Gnanaskandan, Aswin, et al.. (2023). Numerical assessment of the condensation shock mechanism in sheet to cloud cavitation transition. International Journal of Multiphase Flow. 169. 104616–104616. 11 indexed citations
4.
Gnanaskandan, Aswin, et al.. (2023). Controlled Hyperthermia With High-Intensity Focused Ultrasound and Ultrasound Contrast Agent Microbubbles in Porcine Liver. Ultrasound in Medicine & Biology. 49(8). 1852–1860. 14 indexed citations
5.
Gnanaskandan, Aswin, et al.. (2023). Numerical Simulation of Particle Evolution in Spray Drying Using Droplet Drying Kinetics. 2 indexed citations
6.
Gnanaskandan, Aswin, Chao-Tsung Hsiao, & Georges L. Chahine. (2021). Contrast agent shell properties effects on heat deposition in bubble enhanced high intensity focused ultrasound. The Journal of the Acoustical Society of America. 149(1). 421–434. 2 indexed citations
7.
Ma, Jingsen, Aswin Gnanaskandan, Chao-Tsung Hsiao, & Georges L. Chahine. (2021). Message Passing Interface Parallelization for Two-Way Coupled Euler–Lagrange Simulation of Microbubble Enhanced HIFU. Journal of Fluids Engineering. 143(8). 81105–81105. 3 indexed citations
8.
Gnanaskandan, Aswin, Chao-Tsung Hsiao, & Georges L. Chahine. (2019). Modeling of Microbubble-Enhanced High-Intensity Focused Ultrasound. Ultrasound in Medicine & Biology. 45(7). 1743–1761. 14 indexed citations
9.
Gnanaskandan, Aswin & Josette Bellan. (2018). Side-jet effects in high-pressure turbulent flows: Direct Numerical Simulation of nitrogen injected into carbon dioxide. The Journal of Supercritical Fluids. 140. 165–181. 7 indexed citations
10.
Chahine, Georges L., et al.. (2018). Interaction of a cavitation bubble with a polymeric coating–scaling fluid and material dynamics. International Journal of Multiphase Flow. 112. 155–169. 12 indexed citations
11.
Gnanaskandan, Aswin & Josette Bellan. (2017). Large Eddy Simulations of high pressure jets: Effect of subgrid scale modeling. 55th AIAA Aerospace Sciences Meeting. 7 indexed citations
12.
Gnanaskandan, Aswin & Josette Bellan. (2017). Numerical Simulation of Jet Injection and Species Mixing under High-Pressure Conditions. Journal of Physics Conference Series. 821. 12020–12020. 5 indexed citations
13.
Gnanaskandan, Aswin & Krishnan Mahesh. (2016). Numerical investigation of near-wake characteristics of cavitating flow over a circular cylinder. Journal of Fluid Mechanics. 790. 453–491. 75 indexed citations
14.
Gnanaskandan, Aswin & Krishnan Mahesh. (2016). Large Eddy Simulation of the transition from sheet to cloud cavitation over a wedge. International Journal of Multiphase Flow. 83. 86–102. 110 indexed citations
15.
Gnanaskandan, Aswin, et al.. (2015). Evaluation of finite rate homogenous mixture model in cavitation bubble collapse. Journal of Physics Conference Series. 656. 12136–12136. 3 indexed citations
16.
Mahesh, Krishnan, et al.. (2015). LES Applied to Ship Research. Journal of Ship Research. 59(4). 238–245. 9 indexed citations
17.
Gnanaskandan, Aswin & Krishnan Mahesh. (2015). Large eddy simulation of turbulent cavitating flows. Journal of Physics Conference Series. 656. 12135–12135. 9 indexed citations
18.
Mahesh, Krishnan, et al.. (2015). LES Applied to Ship Research. Journal of Ship Research. 59(4). 238–245. 12 indexed citations
19.
Gnanaskandan, Aswin & Krishnan Mahesh. (2014). A numerical method to simulate turbulent cavitating flows. International Journal of Multiphase Flow. 70. 22–34. 70 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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2026