Patrick C. Murphy

1.5k total citations
68 papers, 836 citations indexed

About

Patrick C. Murphy is a scholar working on Aerospace Engineering, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Patrick C. Murphy has authored 68 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Aerospace Engineering, 30 papers in Computational Mechanics and 21 papers in Control and Systems Engineering. Recurrent topics in Patrick C. Murphy's work include Aerospace and Aviation Technology (42 papers), Computational Fluid Dynamics and Aerodynamics (27 papers) and Air Traffic Management and Optimization (17 papers). Patrick C. Murphy is often cited by papers focused on Aerospace and Aviation Technology (42 papers), Computational Fluid Dynamics and Aerodynamics (27 papers) and Air Traffic Management and Optimization (17 papers). Patrick C. Murphy collaborates with scholars based in United States, Ghana and Australia. Patrick C. Murphy's co-authors include Vladislav Klein, Benjamin M. Simmons, Neal T. Frink, Paul Fleming, Julie K. Lundquist, Katherine E. Fleming-Dutra, Jason Roadman, Christopher J. Bay, Drew Landman and Michael Scott and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Guidance Control and Dynamics and Weather and Forecasting.

In The Last Decade

Patrick C. Murphy

66 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick C. Murphy United States 16 727 306 230 153 83 68 836
Deryl Snyder United States 10 546 0.8× 291 1.0× 135 0.6× 63 0.4× 29 0.3× 24 741
Deutsche Forschungsanstalt für Luft und Raumfahrt 3 580 0.8× 390 1.3× 107 0.5× 44 0.3× 30 0.4× 7 835
Jay Brandon United States 18 722 1.0× 482 1.6× 197 0.9× 51 0.3× 9 0.1× 60 859
Andrew Wynn United Kingdom 16 377 0.5× 419 1.4× 260 1.1× 115 0.8× 27 0.3× 68 867
Qijun Zhao China 17 624 0.9× 497 1.6× 147 0.6× 39 0.3× 26 0.3× 108 902
Dániel Feszty Canada 14 569 0.8× 444 1.5× 66 0.3× 170 1.1× 29 0.3× 58 739
Earl P. Duque United States 16 683 0.9× 625 2.0× 37 0.2× 337 2.2× 48 0.6× 73 923
Anubhav Datta United States 18 613 0.8× 634 2.1× 124 0.5× 43 0.3× 64 0.8× 87 934
H. M. Tsai Singapore 19 732 1.0× 1.0k 3.3× 50 0.2× 159 1.0× 19 0.2× 63 1.2k
Beatrice Roget United States 15 400 0.6× 421 1.4× 75 0.3× 101 0.7× 29 0.3× 47 668

Countries citing papers authored by Patrick C. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Patrick C. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick C. Murphy. 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 Patrick C. Murphy. The network helps show where Patrick C. Murphy may publish in the future.

Co-authorship network of co-authors of Patrick C. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick C. Murphy. A scholar is included among the top collaborators of Patrick C. Murphy 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 Patrick C. Murphy. Patrick C. Murphy 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.
Gregory, Irene M., Natasha Neogi, Jared A. Grauer, et al.. (2021). Intelligent Contingency Management for Urban Air Mobility. AIAA Scitech 2021 Forum. 10 indexed citations
2.
Murphy, Patrick C., et al.. (2021). Rapid Aero Modeling for Urban Air Mobility Aircraft in Wind-Tunnel Tests. AIAA Scitech 2021 Forum. 7 indexed citations
3.
Murphy, Patrick C., Julie K. Lundquist, & Paul Fleming. (2020). How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine. Wind energy science. 5(3). 1169–1190. 32 indexed citations
4.
Murphy, Patrick C., et al.. (2020). Preliminary Steps in Developing Rapid Aero Modeling Technology. AIAA Scitech 2020 Forum. 6 indexed citations
5.
Fleming, Paul, Jennifer King, Katherine Dykes, et al.. (2019). Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1. Wind energy science. 4(2). 273–285. 166 indexed citations
6.
Murphy, Patrick C., et al.. (2019). Unsteady Model Estimation for Generic T-Tail Transport Aircraft Using Computational Data. AIAA Scitech 2019 Forum. 1 indexed citations
7.
Murphy, Patrick C., et al.. (2018). Efficient Unsteady Model Estimation Using Computational and Experimental Data. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
8.
Frink, Neal T., et al.. (2016). Status of Computational Aerodynamic Modeling Tools for Aircraft Loss-of-Control. NASA Technical Reports Server (NASA). 1 indexed citations
9.
Croom, Mark A., et al.. (2014). Enabling Advanced Wind-Tunnel Research Methods Using the NASA Langley 12-Foot Low Speed Tunnel. NASA STI Repository (National Aeronautics and Space Administration). 3 indexed citations
10.
Klein, Vladislav, et al.. (2013). Analysis of Wind Tunnel Lateral Oscillatory Data of the F-16xl Aircraft. 1 indexed citations
11.
Morys, Michael, Torsten Trittel, Alexey Eremin, Patrick C. Murphy, & Ralf Stannarius. (2012). Tension of freely suspended fluid filaments. Physical Review E. 86(4). 40501–40501. 4 indexed citations
12.
Murphy, Patrick C., Vladislav Klein, Neal T. Frink, & Dan D. Vicroy. (2011). System Identification Applied to Dynamic CFD Simulation and Wind Tunnel Data. AIAA Atmospheric Flight Mechanics Conference. 23 indexed citations
13.
Broeren, Andy P., et al.. (2011). Aerodynamic Effects of Simulated Ice Accretion on a Generic Transport Model. SAE technical papers on CD-ROM/SAE technical paper series. 9 indexed citations
14.
Murphy, Patrick C., et al.. (2006). Improvements to the NASA Glenn Icing Research Tunnel's Air Temperature Measurement System. 44th AIAA Aerospace Sciences Meeting and Exhibit. 2 indexed citations
15.
Murphy, Patrick C., et al.. (2003). Evaluation and Analysis of F-16XL Wind Tunnel Data from Dynamic Tests. AIAA Atmospheric Flight Mechanics Conference and Exhibit. 4 indexed citations
16.
Pamadi, Bandu N., Jay Brandon, Vladislav Klein, & Patrick C. Murphy. (2001). Prediction of unsteady aerodynamic coefficients at high angles of attack. AIAA Atmospheric Flight Mechanics Conference and Exhibit. 6 indexed citations
17.
Murphy, Patrick C.. (1992). Efficient Computation Of Confidence Intervals Of Parameters. NASA Tech Briefs. 16(4). 2 indexed citations
18.
Murphy, Patrick C. & John B. Davidson. (1991). Control Design for Future Agile Fighters. 8 indexed citations
19.
Murphy, Patrick C.. (1982). Gain selection method and model for coupled propulsion and airframe systems. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
20.
Klein, Vladislav, et al.. (1981). Determination of Airplane Model Structure From Flight Data by Using Modified Stepwise Regression. NASA Technical Reports Server (NASA). 97 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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