Matthew Barone

2.8k total citations
75 papers, 1.7k citations indexed

About

Matthew Barone is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Matthew Barone has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computational Mechanics, 47 papers in Aerospace Engineering and 29 papers in Environmental Engineering. Recurrent topics in Matthew Barone's work include Fluid Dynamics and Turbulent Flows (30 papers), Wind and Air Flow Studies (29 papers) and Wind Energy Research and Development (22 papers). Matthew Barone is often cited by papers focused on Fluid Dynamics and Turbulent Flows (30 papers), Wind and Air Flow Studies (29 papers) and Wind Energy Research and Development (22 papers). Matthew Barone collaborates with scholars based in United States, Netherlands and Austria. Matthew Barone's co-authors include William L. Oberkampf, Irina Kalashnikova, Daniel J. Segalman, Heidi Thornquist, Srinivasan Arunajatesan, Sanjiva K. Lele, Ricardo A. Burdisso, William J. Devenport, Aurélien Borgoltz and Patricio A. Ravetta and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Matthew Barone

73 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Barone United States 22 956 934 449 389 343 75 1.7k
Richard P. Dwight Netherlands 20 1.2k 1.2× 472 0.5× 302 0.7× 517 1.3× 391 1.1× 66 1.7k
Thomas D. Economon United States 20 1.3k 1.3× 898 1.0× 140 0.3× 291 0.7× 295 0.9× 57 1.9k
Leifur Leifsson United States 24 438 0.5× 781 0.8× 175 0.4× 332 0.9× 548 1.6× 170 1.9k
Soledad Le Clainche Spain 24 1.2k 1.3× 544 0.6× 213 0.5× 885 2.3× 162 0.5× 96 1.8k
K. J. Badcock United Kingdom 32 2.4k 2.5× 1.7k 1.9× 253 0.6× 565 1.5× 445 1.3× 127 2.9k
Eusebio Valero Spain 25 1.2k 1.3× 530 0.6× 132 0.3× 429 1.1× 169 0.5× 111 1.7k
Mark Woodgate United Kingdom 23 1.1k 1.1× 715 0.8× 190 0.4× 290 0.7× 228 0.7× 59 1.3k
Zhengyin Ye China 28 2.1k 2.2× 1.5k 1.6× 349 0.8× 582 1.5× 221 0.6× 188 2.7k
Scott T. M. Dawson United States 14 2.0k 2.1× 998 1.1× 287 0.6× 1.3k 3.4× 304 0.9× 48 2.7k
Paola Cinnella France 24 1.8k 1.9× 828 0.9× 406 0.9× 500 1.3× 375 1.1× 160 2.5k

Countries citing papers authored by Matthew Barone

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Barone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Barone

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Barone. A scholar is included among the top collaborators of Matthew Barone 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 Matthew Barone. Matthew Barone 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.
2.
Parish, Eric, et al.. (2024). Data-Driven Turbulent Prandtl Number Modeling for Hypersonic Shock–Boundary-Layer Interactions. AIAA Journal. 63(5). 1671–1692. 2 indexed citations
3.
Lynch, Kyle P., et al.. (2023). Experimental Characterization of an Axisymmetric Transonic Separated Flow for Computational Fluid Dynamics Validation. AIAA Journal. 61(4). 1623–1638. 4 indexed citations
4.
Barone, Matthew, et al.. (2022). Internal energy balance and aerodynamic heating predictions for hypersonic turbulent boundary layers. Physical Review Fluids. 7(8). 5 indexed citations
5.
Beresh, Steven J., et al.. (2020). A CFD Validation Challenge for Transonic, Shock-Induced Separated Flow: Approach and Metrics. AIAA Scitech 2020 Forum. 8 indexed citations
6.
Beresh, Steven J., et al.. (2019). Direct Calculation of RANS Model Parameters from Jet-in-Crossflow PIV Data. AIAA Scitech 2019 Forum. 2 indexed citations
7.
Barone, Matthew & Srinivasan Arunajatesan. (2015). A Computational Study of Flow Within Cavities with Complex Geometric Features. 53rd AIAA Aerospace Sciences Meeting.
8.
Ferreira, Carlos, et al.. (2015). Airfoil optimization for stall regulated vertical axis wind turbines. Institutional Research Information System (University of Udine). 12 indexed citations
9.
Barone, Matthew, et al.. (2013). A 1:8.7 Scale Water Tunnel Test of an Axial Flow Water Turbine.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7 indexed citations
10.
Hurtado, John E., et al.. (2013). Aeroelastic Modeling of Large Off-shore Vertical-axis Wind Turbines: Development of the Offshore Wind Energy Simulation Toolkit. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 18 indexed citations
11.
Barone, Matthew, Joshua Paquette, Brian Ray Resor, & Lance Manuel. (2012). Decades of Wind Turbine Load Simulation. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 12 indexed citations
12.
Fahnline, John B., et al.. (2012). Influence of Blade Solidity on Marine Hydrokinetic Turbines. 569–576. 4 indexed citations
13.
Barone, Matthew & Jonathan White. (2011). DOE/SNL-TTU Scaled Wind Farm Technology Facility: Research Opportunities for Study of Turbine-Turbine Interaction. 2 indexed citations
14.
Paquette, Joshua, et al.. (2010). Aeroacoustics and aerodynamic performance of a rotor with flatback airfoils.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
15.
Wilson, David G., Dale E. Berg, Matthew Barone, et al.. (2009). Active Aerodynamic Blade Control Design for Load Reduction on Large Wind Turbines to Increase Energy Capture.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7 indexed citations
16.
Barone, Matthew & Dale E. Berg. (2009). Aerodynamic and Aeroacoustic Properties of a Flatback Airfoil: An Update. 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. 22 indexed citations
17.
Barone, Matthew, Irina Kalashnikova, Daniel J. Segalman, & Heidi Thornquist. (2008). Stable Galerkin reduced order models for linearized compressible flow. Journal of Computational Physics. 228(6). 1932–1946. 132 indexed citations
18.
19.
Oberkampf, William L. & Matthew Barone. (2006). Measures of agreement between computation and experiment: Validation metrics. Journal of Computational Physics. 217(1). 5–36. 354 indexed citations
20.
Barone, Matthew. (2003). Receptivity of compressible mixing layers. 9 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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