Sally Viken

1.2k total citations
36 papers, 869 citations indexed

About

Sally Viken is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Sally Viken has authored 36 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 27 papers in Aerospace Engineering and 7 papers in Applied Mathematics. Recurrent topics in Sally Viken's work include Computational Fluid Dynamics and Aerodynamics (25 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Plasma and Flow Control in Aerodynamics (12 papers). Sally Viken is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (25 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Plasma and Flow Control in Aerodynamics (12 papers). Sally Viken collaborates with scholars based in United States, Australia and Netherlands. Sally Viken's co-authors include Christopher L. Rumsey, Veer N. Vatsa, Jonathan Naughton, David Greenblatt, T. B. Gatski, Mark H. Carpenter, Thomas B. Gatski, William I. Sellers, Karen Deere and Melissa B. Carter and has published in prestigious journals such as AIAA Journal, Journal of Guidance Control and Dynamics and Journal of Aircraft.

In The Last Decade

Sally Viken

35 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sally Viken United States 16 690 615 138 67 46 36 869
Anubhav Datta United States 18 634 0.9× 613 1.0× 81 0.6× 43 0.6× 124 2.7× 87 934
Neal T. Frink United States 23 1.6k 2.3× 970 1.6× 85 0.6× 114 1.7× 87 1.9× 78 1.7k
Vinod K. Lakshminarayan United States 18 636 0.9× 691 1.1× 37 0.3× 157 2.3× 72 1.6× 60 947
Joseph H. Morrison United States 14 916 1.3× 501 0.8× 78 0.6× 149 2.2× 17 0.4× 35 1.0k
Alejandra Uranga United States 11 432 0.6× 481 0.8× 423 3.1× 19 0.3× 19 0.4× 24 738
Renato Tognaccini Italy 19 894 1.3× 666 1.1× 117 0.8× 52 0.8× 10 0.2× 85 1.0k
James G. Coder United States 15 731 1.1× 522 0.8× 49 0.4× 87 1.3× 19 0.4× 91 817
Maxwell Blair United States 14 210 0.3× 448 0.7× 248 1.8× 25 0.4× 85 1.8× 49 678
F. X. Caradonna United States 20 1.1k 1.6× 961 1.6× 31 0.2× 134 2.0× 57 1.2× 58 1.3k
Jeffrey A. Housman United States 16 717 1.0× 577 0.9× 30 0.2× 96 1.4× 18 0.4× 71 824

Countries citing papers authored by Sally Viken

Since Specialization
Citations

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

Fields of papers citing papers by Sally Viken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sally Viken

This figure shows the co-authorship network connecting the top 25 collaborators of Sally Viken. A scholar is included among the top collaborators of Sally Viken 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 Sally Viken. Sally Viken 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.
Maldonado, Daniel Teixeira, Craig Hunter, Jeffrey A. Housman, et al.. (2021). Improvements in Simulating a Mach 0.80 Transonic Truss-Braced Wing Configuration using the Spalart-Allmaras and k-ω SST Turbulence Models. AIAA Scitech 2021 Forum. 2 indexed citations
2.
Gatlin, Gregory M., et al.. (2020). Development of an Efficient M=0.80 Transonic Truss-Braced Wing Aircraft. AIAA Scitech 2020 Forum. 27 indexed citations
3.
Campbell, Richard L., et al.. (2019). Additional Findings from the Common Research Model Natural Laminar Flow Wind Tunnel Test. AIAA Aviation 2019 Forum. 16 indexed citations
4.
Deere, Karen, et al.. (2018). Computational Component Build-up for the X-57 Maxwell Distributed Electric Propulsion Aircraft. 2018 AIAA Aerospace Sciences Meeting. 12 indexed citations
5.
Deere, Karen, et al.. (2017). Computational Analysis of a Wing Designed for the X-57 Distributed Electric Propulsion Aircraft. NASA STI Repository (National Aeronautics and Space Administration). 57 indexed citations
6.
Deere, Karen, et al.. (2017). Computational Analysis of Powered Lift Augmentation for the LEAPTech Distributed Electric Propulsion Wing. NASA Technical Reports Server (NASA). 6 indexed citations
7.
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
8.
Viken, Sally, et al.. (2014). Comparison of Computational Approaches for Rapid Aerodynamic Assessment of Small UAVs. 52nd Aerospace Sciences Meeting. 8 indexed citations
9.
Frink, Neal T., Shahyar Pirzadeh, Joseph Morrison, Harold Atkins, & Sally Viken. (2010). CFD Assessment of Aerodynamic Degradation of a Subsonic Transport Due to Airframe Damage. 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. 21 indexed citations
10.
Rumsey, Christopher L., et al.. (2006). Summary of the 2004 Computational Fluid Dynamics Validation Workshop on Synthetic Jets. AIAA Journal. 44(2). 194–207. 114 indexed citations
11.
Carpenter, Mark H., Christopher A. Kennedy, H. Bijl, Sally Viken, & Veer N. Vatsa. (2005). Fourth-order runge-kutta schemes for fluid mechanics applications. Journal of Scientific Computing. 25(1-2). 157–194. 24 indexed citations
12.
Carpenter, Mark H., Christopher A. Kennedy, H. Bijl, Sally Viken, & Veer N. Vatsa. (2005). Fourth-Order Runge–Kutta Schemes for Fluid Mechanics Applications. Journal of Scientific Computing. 25(1). 157–194. 59 indexed citations
13.
Naughton, Jonathan, Sally Viken, & David Greenblatt. (2004). Wall Shear Stress Measurements on the NASA Hump Model for CFD Validation. 11 indexed citations
14.
Carpenter, Mark H., Sally Viken, & Eric J. Nielsen. (2003). The Temporal Efficiency of Higher Order Schemes. 41st Aerospace Sciences Meeting and Exhibit. 15 indexed citations
15.
Viken, Sally, Veer N. Vatsa, Christopher L. Rumsey, & Mark Carpenter. (2003). Flow Control Analysis on the Hump Model with RANS Tools. 41st Aerospace Sciences Meeting and Exhibit. 18 indexed citations
16.
Carpenter, Mark, Bart A. Singer, Veer N. Vatsa, Sally Viken, & Nail K. Yamaleev. (2002). The Current Status of Unsteady CFD Approaches for Aerodynamic Flow Control. NASA STI Repository (National Aeronautics and Space Administration). 9 indexed citations
17.
Jones, Gregory S., et al.. (2002). An Active Flow Circulation Controlled Flap Concept for General Aviation Aircraft Applications. NASA STI Repository (National Aeronautics and Space Administration). 79 indexed citations
18.
Joslin, R. D. & Sally Viken. (2001). Aerodynamic performance of an active flow control configuration using unstructured-grid RANS. 39th Aerospace Sciences Meeting and Exhibit. 8 indexed citations
19.
Hunter, Craig, Sally Viken, Richard M. Wood, & Steven X. S. Bauer. (2001). Advanced aerodynamic design of passive porosity control effectors. 39th Aerospace Sciences Meeting and Exhibit. 29 indexed citations
20.
Viken, Sally & James R. Burley. (1992). <title>Predictive nosepointing and flightpath displays for air-to-air combat</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1695. 154–165. 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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