Jay Prakash Goit

497 total citations
13 papers, 318 citations indexed

About

Jay Prakash Goit is a scholar working on Environmental Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Jay Prakash Goit has authored 13 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 12 papers in Aerospace Engineering and 6 papers in Computational Mechanics. Recurrent topics in Jay Prakash Goit's work include Wind Energy Research and Development (12 papers), Wind and Air Flow Studies (11 papers) and Fluid Dynamics and Turbulent Flows (3 papers). Jay Prakash Goit is often cited by papers focused on Wind Energy Research and Development (12 papers), Wind and Air Flow Studies (11 papers) and Fluid Dynamics and Turbulent Flows (3 papers). Jay Prakash Goit collaborates with scholars based in Japan, Belgium and Singapore. Jay Prakash Goit's co-authors include Johan Meyers, Wim Munters, Susumu Shimada, Tetsuya Kogaki, Takeshi Ishihara, Atsushi YAMAGUCHI, Teruo Ohsawa, Satoshi Nakamura, Yifeng Liu and Sébastien Gros and has published in prestigious journals such as Journal of Fluid Mechanics, Remote Sensing and Energies.

In The Last Decade

Jay Prakash Goit

13 papers receiving 310 citations

Peers

Jay Prakash Goit
Andreas Rott Germany
Christian Santoni United States
Jan‐Åke Dahlberg Sweden
Stefano Letizia United States
Anders Sommer Sweden
Umberto Ciri United States
Martin Hofsäß Germany
L. Folkerts Denmark
Lu Zhan United States
Alexander Meyer Forsting Denmark
Andreas Rott Germany
Jay Prakash Goit
Citations per year, relative to Jay Prakash Goit Jay Prakash Goit (= 1×) peers Andreas Rott

Countries citing papers authored by Jay Prakash Goit

Since Specialization
Citations

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

Fields of papers citing papers by Jay Prakash Goit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Prakash Goit. 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 Jay Prakash Goit. The network helps show where Jay Prakash Goit may publish in the future.

Co-authorship network of co-authors of Jay Prakash Goit

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

All Works

13 of 13 papers shown
1.
Goit, Jay Prakash, et al.. (2022). Effect of averaging time windows on wind resource assessment of small wind turbines. Wind Energy. 25(7). 1222–1237. 4 indexed citations
2.
Goit, Jay Prakash, et al.. (2022). The effect of coastal terrain on nearshore offshore wind farms: A large-eddy simulation study. Journal of Renewable and Sustainable Energy. 14(4). 6 indexed citations
3.
Shimada, Susumu, Jay Prakash Goit, Teruo Ohsawa, Tetsuya Kogaki, & Satoshi Nakamura. (2020). Coastal Wind Measurements Using a Single Scanning LiDAR. Remote Sensing. 12(8). 1347–1347. 19 indexed citations
4.
Goit, Jay Prakash, Atsushi YAMAGUCHI, & Takeshi Ishihara. (2020). Measurement and Prediction of Wind Fields at an Offshore Site by Scanning Doppler LiDAR and WRF. Atmosphere. 11(5). 442–442. 16 indexed citations
5.
Goit, Jay Prakash, Susumu Shimada, & Tetsuya Kogaki. (2019). Can LiDARs Replace Meteorological Masts in Wind Energy?. Energies. 12(19). 3680–3680. 14 indexed citations
6.
Goit, Jay Prakash & Takeshi Ishihara. (2019). Aerodynamic loads on wind turbine nacelles under different inflow turbulence conditions. Wind Energy. 23(3). 645–659. 2 indexed citations
7.
Goit, Jay Prakash, Yifeng Liu, & Takeshi Ishihara. (2018). Experimental Study of Wind Load acting on Wind Turbine Nacelles. Journal of Physics Conference Series. 1037. 52019–52019. 5 indexed citations
8.
Goit, Jay Prakash, Wim Munters, & Johan Meyers. (2016). Optimal Coordinated Control of Power Extraction in LES of a Wind Farm with Entrance Effects. Energies. 9(1). 29–29. 51 indexed citations
9.
Meyers, Johan, Wim Munters, & Jay Prakash Goit. (2016). A framework for optimization of turbulent wind-farm boundary layers and application to optimal control of wind-farm energy extraction. Lirias (KU Leuven). 438. 519–524. 7 indexed citations
10.
Goit, Jay Prakash & Johan Meyers. (2015). Optimal control of energy extraction in wind-farm boundary layers. Journal of Fluid Mechanics. 768. 5–50. 172 indexed citations
11.
Goit, Jay Prakash & Johan Meyers. (2014). Optimal control of wind farm power extraction in large eddy simulations. Lirias (KU Leuven). 5 indexed citations
12.
Goit, Jay Prakash & Johan Meyers. (2014). Analysis of turbulent flow properties and energy fluxes in optimally controlled wind-farm boundary layers. Journal of Physics Conference Series. 524. 12178–12178. 10 indexed citations
13.
Goit, Jay Prakash, et al.. (2012). Robust and Stable Periodic Flight of Power Generating Kite Systems in a Turbulent Wind Flow Field. IFAC Proceedings Volumes. 45(25). 140–145. 7 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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