Harish Gopalan

480 total citations
36 papers, 334 citations indexed

About

Harish Gopalan is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Harish Gopalan has authored 36 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 23 papers in Environmental Engineering and 23 papers in Aerospace Engineering. Recurrent topics in Harish Gopalan's work include Wind and Air Flow Studies (23 papers), Fluid Dynamics and Turbulent Flows (17 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Harish Gopalan is often cited by papers focused on Wind and Air Flow Studies (23 papers), Fluid Dynamics and Turbulent Flows (17 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Harish Gopalan collaborates with scholars based in United States, Singapore and Netherlands. Harish Gopalan's co-authors include Stefan Heinz, Rajeev K. Jaiman, Jayanarayanan Sitaraman, Alex Povitsky, Wayne O. Miller, Jeffrey D. Mirocha, Beatrice Roget, Kevin D. Brown, Gaurav Kumar and Ashoke De and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Physics of Fluids.

In The Last Decade

Harish Gopalan

35 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harish Gopalan United States 9 217 184 172 52 26 36 334
Tetsuya Kogaki Japan 12 128 0.6× 258 1.4× 291 1.7× 46 0.9× 12 0.5× 36 396
Georgios Deskos United States 10 156 0.7× 117 0.6× 193 1.1× 37 0.7× 11 0.4× 26 318
Hans Wengle Germany 9 254 1.2× 157 0.9× 182 1.1× 42 0.8× 44 1.7× 10 349
Takaaki KONO Japan 8 345 1.6× 181 1.0× 96 0.6× 62 1.2× 21 0.8× 19 558
Tetuya Kawamura Japan 7 281 1.3× 99 0.5× 91 0.5× 41 0.8× 44 1.7× 43 389
Kianoosh Yousefi United States 12 288 1.3× 63 0.3× 220 1.3× 83 1.6× 43 1.7× 17 468
Witold Robert Skrzypiński Denmark 12 185 0.9× 123 0.7× 249 1.4× 23 0.4× 11 0.4× 20 309
Michael Sherry Australia 8 221 1.0× 146 0.8× 203 1.2× 13 0.3× 42 1.6× 12 330
Sylvain Laizet United Kingdom 4 292 1.3× 86 0.5× 93 0.5× 30 0.6× 41 1.6× 6 324
Kamal Poddar India 11 247 1.1× 100 0.5× 223 1.3× 12 0.2× 29 1.1× 42 322

Countries citing papers authored by Harish Gopalan

Since Specialization
Citations

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

Fields of papers citing papers by Harish Gopalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harish Gopalan

This figure shows the co-authorship network connecting the top 25 collaborators of Harish Gopalan. A scholar is included among the top collaborators of Harish Gopalan 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 Harish Gopalan. Harish Gopalan 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.
Koh, W. S., et al.. (2023). Outdoor environmental comfort evaluation for retail planning in a tropical business district using Integrated Environmental Modeller. PLoS ONE. 18(3). e0282106–e0282106. 3 indexed citations
2.
3.
Gopalan, Harish, et al.. (2022). FastFlow: AI for Fast Urban Wind Velocity Prediction. 147–154. 6 indexed citations
4.
Gopalan, Harish. (2018). Evaluation of Wray-Agarwal turbulence model for simulation of neutral and non-neutral atmospheric boundary layers. Journal of Wind Engineering and Industrial Aerodynamics. 182. 322–329. 4 indexed citations
5.
K., Raj, Harish Gopalan, Jayanarayanan Sitaraman, Jeffrey D. Mirocha, & Wayne O. Miller. (2017). A code-independent generalized actuator line model for wind farm aerodynamics over simple and complex terrain. Environmental Modelling & Software. 94. 172–185. 5 indexed citations
6.
Gopalan, Harish, et al.. (2016). Comparative Analysis of the Arbitrary Mesh Interface(AMI) and Overset Methods for Dynamic Body Motions in OpenFOAM. 46th AIAA Fluid Dynamics Conference. 10 indexed citations
7.
Gopalan, Harish, et al.. (2016). Numerical Investigation of Mini Wind Turbines Near Highways. Journal of Solar Energy Engineering. 138(2). 13 indexed citations
8.
Kumar, Gaurav, et al.. (2016). Investigation of the sensitivity of turbulent closures and coupling of hybrid RANS‐LES models for predicting flow fields with separation and reattachment. International Journal for Numerical Methods in Fluids. 83(12). 917–939. 8 indexed citations
9.
Gopalan, Harish, et al.. (2015). Flow Past Tandem Circular Cylinders at High Reynolds Numbers using Overset Grids in OpenFOAM. 53rd AIAA Aerospace Sciences Meeting. 9 indexed citations
10.
K., Raj, Harish Gopalan, & Jonathan Naughton. (2015). Effects of spatial and temporal resolution of the turbulent inflow on wind turbine performance estimation. Wind Energy. 19(7). 1341–1354. 5 indexed citations
11.
Gopalan, Harish, Kevin D. Brown, Beatrice Roget, et al.. (2014). A coupled mesoscale–microscale framework for wind resource estimation and farm aerodynamics. Journal of Wind Engineering and Industrial Aerodynamics. 132. 13–26. 54 indexed citations
12.
Gopalan, Harish, et al.. (2013). A unified RANS–LES model: Computational development, accuracy and cost. Journal of Computational Physics. 249. 249–274. 56 indexed citations
13.
Sitaraman, Jayanarayanan, et al.. (2013). A Free-vortex Wake Diffusion Model for Wind Turbines in Steady and Turbulent Atmospheric Inflow. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 2 indexed citations
14.
Gopalan, Harish & Stefan Heinz. (2013). Atmospheric Boundary Layer Studies with Unified RANS-LES and Dynamic LES Methods. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 1 indexed citations
15.
K., Raj, Harish Gopalan, Jonathan Naughton, & Stefan Heinz. (2012). A Study of the Sensitivity of Wind Turbine Response to Inflow Temporal and Spatial Resolution. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 3 indexed citations
16.
Heinz, Stefan, et al.. (2012). A Unified RANS-LES Model. Part 1. Computational Model Development. 2 indexed citations
17.
Gopalan, Harish, et al.. (2011). Simulation of Turbulent Channel Flow Using a Linear and Non Linear realizable Unified RANS-LES Model. 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 7 indexed citations
18.
Gopalan, Harish, et al.. (2010). Analysis of a Realizable Unified RANS-LES Model. 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. 2 indexed citations
19.
Gopalan, Harish & Alex Povitsky. (2009). Stream function–potential function coordinates for aeroacoustics and unsteady aerodynamics. International journal of computational fluid dynamics. 23(3). 285–290. 4 indexed citations
20.
Gopalan, Harish & Alex Povitsky. (2007). Streamfunction-Potential function coordinates for computational aeroacoustics. 2 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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