Mithu Debnath

1.1k total citations
21 papers, 417 citations indexed

About

Mithu Debnath is a scholar working on Environmental Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Mithu Debnath has authored 21 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 16 papers in Aerospace Engineering and 5 papers in Computational Mechanics. Recurrent topics in Mithu Debnath's work include Wind and Air Flow Studies (18 papers), Wind Energy Research and Development (15 papers) and Aerodynamics and Fluid Dynamics Research (5 papers). Mithu Debnath is often cited by papers focused on Wind and Air Flow Studies (18 papers), Wind Energy Research and Development (15 papers) and Aerodynamics and Fluid Dynamics Research (5 papers). Mithu Debnath collaborates with scholars based in United States, Switzerland and Denmark. Mithu Debnath's co-authors include Kiran Bhaganagar, Paula Doubrawa, Giacomo Valerio Iungo, Christian Santoni, Stefano Leonardi, Nicola Bodini, Mike Optis, James M. Wilczak, D. E. Wolfe and Paul Fleming and has published in prestigious journals such as Remote Sensing, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Energies.

In The Last Decade

Mithu Debnath

21 papers receiving 403 citations

Peers

Mithu Debnath

GPC

Lukas Vollmer Germany

Paula Doubrawa United States

Wim Munters Belgium

Eliot Quon United States

Georgios Deskos United States

Chi Yan China

Jay Prakash Goit Japan

S. Neckelmann Denmark

Andreas Rott Germany

H. Jane Bae United States

Lukas Vollmer Germany

Mithu Debnath

327 ×1.1

263 ×0.9

169 ×1.0

48 ×0.5

50 ×0.7

GPC

Citations per year, relative to Mithu Debnath Mithu Debnath (= 1×) peers Lukas Vollmer

Countries citing papers authored by Mithu Debnath

Since Specialization

Citations

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

Fields of papers citing papers by Mithu Debnath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mithu Debnath

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

All Works

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20 of 20 papers shown

Shaw, William J., Larry K. Berg, Mithu Debnath, et al.. (2022). Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer. Wind energy science. 7(6). 2307–2334. 21 indexed citations

Simley, Eric, Mithu Debnath, & Paul Fleming. (2022). Investigating the impact of atmospheric conditions on wake-steering performance at a commercial wind plant. Journal of Physics Conference Series. 2265(3). 32097–32097. 5 indexed citations

Optis, Mike, Nicola Bodini, Mithu Debnath, & Paula Doubrawa. (2021). New methods to improve the vertical extrapolation of near-surface offshore wind speeds. Wind energy science. 6(3). 935–948. 30 indexed citations

Debnath, Mithu, et al.. (2021). Extreme wind shear events in US offshore wind energy areas and the role of induced stratification. Wind energy science. 6(4). 1043–1059. 28 indexed citations

Simley, Eric, Owen Roberts, Paul Fleming, et al.. (2021). Evaluation of the potential for wake steering for U.S. land-based wind power plants. Journal of Renewable and Sustainable Energy. 13(3). 26 indexed citations

Quon, Eliot, et al.. (2021). Region-Based Convolutional Neural Network for Wind Turbine Wake Characterization in Complex Terrain. Remote Sensing. 13(21). 4438–4438. 6 indexed citations

Brugger, Peter, Mithu Debnath, Andrew Scholbrock, et al.. (2020). Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models. Wind energy science. 5(4). 1253–1272. 25 indexed citations

Quon, Eliot, Paula Doubrawa, & Mithu Debnath. (2020). Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution. Journal of Physics Conference Series. 1452(1). 12070–12070. 13 indexed citations

Debnath, Mithu, Peter Brugger, Eric Simley, et al.. (2020). Longitudinal coherence and short-term wind speed prediction based on a nacelle-mounted Doppler lidar. Journal of Physics Conference Series. 1618(3). 32051–32051. 5 indexed citations

10.

Shaler, Kelsey, Mithu Debnath, & Jason Jonkman. (2020). Validation of FAST.Farm Against Full-Scale Turbine SCADA Data for a Small Wind Farm. Journal of Physics Conference Series. 1618(6). 62061–62061. 17 indexed citations

11.

Doubrawa, Paula, Mithu Debnath, Patrick Moriarty, et al.. (2019). Benchmarks for Model Validation based on LiDAR Wake Measurements. Journal of Physics Conference Series. 1256(1). 12024–12024. 23 indexed citations

12.

Debnath, Mithu, Paula Doubrawa, T. Herges, et al.. (2019). Evaluation of Wind Speed Retrieval from Continuous-Wave Lidar Measurements of a Wind Turbine Wake Using Virtual Lidar Techniques. Journal of Physics Conference Series. 1256(1). 12008–12008. 6 indexed citations

13.

Debnath, Mithu, Giacomo Valerio Iungo, W. Alan Brewer, et al.. (2017). Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment. Atmospheric measurement techniques. 10(3). 1215–1227. 18 indexed citations

14.

Debnath, Mithu, Giacomo Valerio Iungo, W. Alan Brewer, et al.. (2017). Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans. Atmospheric measurement techniques. 10(2). 431–444. 18 indexed citations

15.

McCaffrey, Katherine, Aditya Choukulkar, James M. Wilczak, et al.. (2017). Identification of tower-wake distortions using sonic anemometer and lidar measurements. Atmospheric measurement techniques. 10(2). 393–407. 22 indexed citations

16.

Choukulkar, Aditya, W. Alan Brewer, Scott P. Sandberg, et al.. (2017). Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign. Atmospheric measurement techniques. 10(1). 247–264. 29 indexed citations

17.

Bhaganagar, Kiran & Mithu Debnath. (2015). The effects of mean atmospheric forcings of the stable atmospheric boundary layer on wind turbine wake. Journal of Renewable and Sustainable Energy. 7(1). 30 indexed citations

18.

Debnath, Mithu. (2014). Influence of atmospheric boundary layer on turbulence in wind turbine wake. 1 indexed citations

19.

Bhaganagar, Kiran & Mithu Debnath. (2014). Implications of Stably Stratified Atmospheric Boundary Layer Turbulence on the Near-Wake Structure of Wind Turbines. Energies. 7(9). 5740–5763. 36 indexed citations

20.

Bhattacharya, Asit Baran, et al.. (2010). WIND-PROOF LOG PERIODIC DIPOLE ARRAY FOR CAPTURING SOLAR RADIO BURSTS. 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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