Michael Sprague

2.5k total citations
84 papers, 1.7k citations indexed

About

Michael Sprague is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Michael Sprague has authored 84 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computational Mechanics, 29 papers in Aerospace Engineering and 16 papers in Environmental Engineering. Recurrent topics in Michael Sprague's work include Fluid Dynamics and Vibration Analysis (19 papers), Wind Energy Research and Development (18 papers) and Fluid Dynamics and Turbulent Flows (16 papers). Michael Sprague is often cited by papers focused on Fluid Dynamics and Vibration Analysis (19 papers), Wind Energy Research and Development (18 papers) and Fluid Dynamics and Turbulent Flows (16 papers). Michael Sprague collaborates with scholars based in United States, Denmark and Spain. Michael Sprague's co-authors include Thomas L. Geers, Chao Zhang, Shriram Santhanagopalan, Ahmad Pesaran, Jason Jonkman, J. Werne, Keith Julien, Edgar Knobloch, Shreyas Ananthan and Bonnie Jonkman and has published in prestigious journals such as Applied Physics Letters, Journal of Fluid Mechanics and Journal of Power Sources.

In The Last Decade

Michael Sprague

81 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Sprague United States 23 653 424 409 351 247 84 1.7k
Zhaoyong Mao China 28 905 1.4× 672 1.6× 933 2.3× 256 0.7× 133 0.5× 163 2.5k
Santiago Pindado Spain 22 347 0.5× 622 1.5× 507 1.2× 121 0.3× 72 0.3× 81 1.6k
Raymond M. Brach United States 26 677 1.0× 188 0.4× 199 0.5× 404 1.2× 292 1.2× 81 2.4k
Joerg R. Seume Germany 22 1.0k 1.5× 223 0.5× 1.2k 3.0× 92 0.3× 219 0.9× 246 2.2k
Yixin Yang China 23 205 0.3× 550 1.3× 561 1.4× 244 0.7× 173 0.7× 252 2.6k
Ahmet Selamet United States 29 743 1.1× 135 0.3× 1.4k 3.4× 553 1.6× 1.7k 7.0× 145 2.5k
Mojtaba Tahani Iran 22 537 0.8× 186 0.4× 700 1.7× 41 0.1× 126 0.5× 71 1.8k
Narayanan Komerath United States 20 1.1k 1.8× 226 0.5× 1.3k 3.2× 53 0.2× 168 0.7× 267 2.0k
Hanfeng Wang China 24 790 1.2× 256 0.6× 712 1.7× 40 0.1× 157 0.6× 107 1.5k

Countries citing papers authored by Michael Sprague

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sprague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sprague

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sprague. A scholar is included among the top collaborators of Michael Sprague 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 Michael Sprague. Michael Sprague 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.
Cheung, Lawrence, et al.. (2025). Modeling the effects of active wake mixing on wake behavior through large-scale coherent structures. Wind energy science. 10(7). 1403–1420.
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.
Min, Misun, et al.. (2024). Towards exascale for wind energy simulations. The International Journal of High Performance Computing Applications. 38(4). 337–355. 4 indexed citations
6.
Cheung, Lawrence H., Myra Blaylock, Thomas Herges, et al.. (2023). Investigations of Farm-to-Farm Interactions and Blockage Effects from AWAKEN Using Large-Scale Numerical Simulations. Journal of Physics Conference Series. 2505(1). 12023–12023. 8 indexed citations
7.
Glaws, Andrew, Ryan King, & Michael Sprague. (2020). Deep learning forin situdata compression of large turbulent flow simulations. Physical Review Fluids. 5(11). 37 indexed citations
8.
Sitaraman, Hariswaran, et al.. (2019). Coupled CFD and chemical-kinetics simulations of cellulosic-biomass enzymatic hydrolysis: Mathematical-model development and validation. Chemical Engineering Science. 206. 348–360. 19 indexed citations
9.
Thomas, Stephen, Shreyas Ananthan, Shashank Yellapantula, et al.. (2019). A Comparison of Classical and Aggregation-Based Algebraic Multigrid Preconditioners for High-Fidelity Simulation of Wind Turbine Incompressible Flows. SIAM Journal on Scientific Computing. 41(5). S196–S219. 8 indexed citations
10.
Liang, Chunlei, et al.. (2019). A new high-order spectral difference method for simulating viscous flows on unstructured grids with mixed-element meshes. Computers & Fluids. 184. 187–198. 5 indexed citations
11.
King, Ryan, Jennifer Annoni, Alireza Doostan, & Michael Sprague. (2018). Enabling predictive reduced order modeling of high-fidelity wind plant simulations with in-situ modal decomposition and basis interpolation. Bulletin of the American Physical Society. 1 indexed citations
12.
Jonkman, Jason, et al.. (2017). A Validation and Code-to-Code Verification of FAST for aMegawatt-ScaleWind Turbine with Aeroelastically Tailored Blades. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
13.
Jonkman, Jason, et al.. (2017). A validation and code-to-code verification of FAST for a megawatt-scale wind turbine with aeroelastically tailored blades. Wind energy science. 2(2). 443–468. 24 indexed citations
14.
Wang, Qi, Michael Sprague, Jason Jonkman, Nick Johnson, & Bonnie Jonkman. (2017). BeamDyn: a high‐fidelity wind turbine blade solver in the FAST modular framework. Wind Energy. 20(8). 1439–1462. 73 indexed citations
15.
Zhang, Chao, Shriram Santhanagopalan, Michael Sprague, & Ahmad Pesaran. (2016). Simultaneously Coupled Mechanical-Electrochemical-Thermal Simulation of Lithium-Ion Cells. ECS Transactions. 72(24). 9–19. 10 indexed citations
16.
Kim, Taeseong, et al.. (2015). HAWC2 and BeamDyn: Comparison Between Beam Structural Models for Aero-Servo-Elastic Frameworks. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 5 indexed citations
17.
Sprague, Michael, et al.. (2012). Reissner–Mindlin Legendre spectral finite elements with mixed reduced quadrature. Finite Elements in Analysis and Design. 58. 74–83. 19 indexed citations
18.
Sprague, Michael & Thomas L. Geers. (2003). Spectral elements and field separation for an acoustic fluid subject to cavitation. Journal of Computational Physics. 184(1). 149–162. 84 indexed citations
19.
Sprague, Michael & Thomas L. Geers. (2001). Computational Treatments of Cavitation Effects in Near‐Free‐Surface Underwater Shock Analysis. Shock and Vibration. 8(2). 105–122. 12 indexed citations
20.
Sprague, Michael, et al.. (1998). Mechanical distortions in advanced optical reticles. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3331. 601–601. 5 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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