David E. Ashpis

1.5k total citations
56 papers, 1.2k citations indexed

About

David E. Ashpis is a scholar working on Aerospace Engineering, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, David E. Ashpis has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Aerospace Engineering, 40 papers in Computational Mechanics and 13 papers in Electrical and Electronic Engineering. Recurrent topics in David E. Ashpis's work include Fluid Dynamics and Turbulent Flows (33 papers), Turbomachinery Performance and Optimization (30 papers) and Plasma and Flow Control in Aerodynamics (22 papers). David E. Ashpis is often cited by papers focused on Fluid Dynamics and Turbulent Flows (33 papers), Turbomachinery Performance and Optimization (30 papers) and Plasma and Flow Control in Aerodynamics (22 papers). David E. Ashpis collaborates with scholars based in United States, United Kingdom and Germany. David E. Ashpis's co-authors include Yildirim Suzen, Lennart S. Hultgren, George Huang, Jamey Jacob, Eli Reshotko, N. Hershkowitz, Alan R. Hoskinson, P. G. Huang, Meinhard T. Schobeiri and Daniel J. Dorney and has published in prestigious journals such as Journal of Fluid Mechanics, Oncogene and AIAA Journal.

In The Last Decade

David E. Ashpis

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David E. Ashpis United States 16 961 712 396 267 102 56 1.2k
Michel Cazalens France 11 618 0.6× 488 0.7× 328 0.8× 202 0.8× 27 0.3× 19 874
Haohua Zong China 21 1.1k 1.2× 832 1.2× 198 0.5× 101 0.4× 45 0.4× 73 1.2k
Zun Cai China 27 1.2k 1.3× 1.6k 2.3× 82 0.2× 122 0.5× 60 0.6× 65 1.9k
Yun Wu China 20 923 1.0× 854 1.2× 99 0.3× 71 0.3× 99 1.0× 66 1.1k
Wansheng Nie China 15 393 0.4× 377 0.5× 143 0.4× 110 0.4× 32 0.3× 94 663
R. Mariani United Kingdom 11 206 0.2× 162 0.2× 141 0.4× 142 0.5× 21 0.2× 29 403
Zhi-xun Xia China 19 757 0.8× 661 0.9× 84 0.2× 37 0.1× 104 1.0× 54 936
Jeffrey Kastner United States 11 989 1.0× 856 1.2× 73 0.2× 58 0.2× 44 0.4× 27 1.0k
Corine Lacour France 11 157 0.2× 417 0.6× 69 0.2× 76 0.3× 19 0.2× 17 550

Countries citing papers authored by David E. Ashpis

Since Specialization
Citations

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

Fields of papers citing papers by David E. Ashpis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Ashpis. 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 David E. Ashpis. The network helps show where David E. Ashpis may publish in the future.

Co-authorship network of co-authors of David E. Ashpis

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Ashpis. A scholar is included among the top collaborators of David E. Ashpis 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 David E. Ashpis. David E. Ashpis 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.
Hultgren, Lennart S. & David E. Ashpis. (2018). Demonstration of Separation Control Using Dielectric Barrier Discharge Plasma Actuators. AIAA Journal. 56(11). 4614–4620. 8 indexed citations
2.
Ashpis, David E., et al.. (2017). Progress Toward Accurate Measurement of Dielectric Barrier Discharge Plasma Actuator Power. AIAA Journal. 55(7). 2254–2268. 52 indexed citations
3.
Ashpis, David E., et al.. (2014). Thrust Measurement of Dielectric Barrier Discharge (DBD) Plasma Actuators: New Anti-Thrust Hypothesis, Frequency Sweeps Methodology, Humidity and Enclosure Effects. NASA Technical Reports Server (NASA). 27(1). 89–96. 2 indexed citations
4.
Ashpis, David E., et al.. (2013). Thrust Measurement of Dielectric Barrier Discharge (DBD) Plasma Actuators. Bulletin of the American Physical Society.
5.
Hoskinson, Alan R., N. Hershkowitz, & David E. Ashpis. (2009). Comparisons of Force Measurement Methods for DBD Plasma Actuators in Quiescent Air. 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. 14 indexed citations
6.
Ashpis, David E. & Ralph J. Volino. (2005). Synthetic Vortex Generator Jets Used to Control Separation on Low-Pressure Turbine Airfoils. 1 indexed citations
7.
Forgoston, Eric, Anatoli Tumin, & David E. Ashpis. (2005). Distributed Blowing and Suction for the Purpose of Streak Control in a Boundary Layer Subjected to a Favorable Pressure Gradient. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
8.
Lewalle, Jacques & David E. Ashpis. (2004). Estimation of Time Scales in Unsteady Flows in a Turbomachinery Rig. Oncogene. 25(38). 5286–93. 4 indexed citations
9.
Suzen, Yildirim, P. G. Huang, Lennart S. Hultgren, & David E. Ashpis. (2003). Predictions of Separated and Transitional Boundary Layers Under Low-Pressure Turbine Airfoil Conditions Using an Intermittency Transport Equation. Journal of Turbomachinery. 125(3). 455–464. 106 indexed citations
10.
Schobeiri, Meinhard T., et al.. (2003). On the Physics of the Flow Separation Along a Low Pressure Turbine Blade Under Unsteady Flow Conditions. 1063–1079. 12 indexed citations
11.
Hultgren, Lennart S. & David E. Ashpis. (2003). Boundary-Layer Separation Control under Low-Pressure Turbine Airfoil Conditions using Glow-Discharge Plasma Actuators. NASA Technical Reports Server (NASA). 2 indexed citations
12.
Hultgren, Lennart S. & David E. Ashpis. (2002). Glow Discharge Plasma Active Control of Separation at Low Pressure Turbine Conditions.. APS Division of Fluid Dynamics Meeting Abstracts. 55. 3 indexed citations
13.
Huang, Po‐Ssu, et al.. (2001). Predictions of separated and transitional boundary layers under low-pressure turbine airfoil conditions using an intermittency transport equation. 39th Aerospace Sciences Meeting and Exhibit. 13 indexed citations
14.
Simon, Terrence W., et al.. (2000). Measurements in a Transitional Boundary Layer Under Low-Pressure Turbine Airfoil Conditions. Marine Drugs. 16(12). 24 indexed citations
15.
Dorney, Daniel J., James Lake, Paul King, & David E. Ashpis. (2000). Experimental and Numerical Investigation of Losses in Low-Pressure Turbine Blade Rows. International Journal of Turbo and Jet Engines. 17(4). 16 indexed citations
16.
Wygnanski, I., et al.. (1998). Active Control of Separation in the presence of High Freestream Turbulence. APS. 1 indexed citations
17.
Dorney, Daniel J. & David E. Ashpis. (1998). Study of low Reynolds number effects on the losses in low-pressure turbine blade rows. 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. 6 indexed citations
18.
Ashpis, David E.. (1998). The NASA Low-Pressure Turbine Flow Physics Program. NASA Technical Reports Server (NASA). 2 indexed citations
19.
Lewalle, Jacques, et al.. (1997). Demonstration of Wavelet Techniques in the Spectral Analysis of Bypass Transition Data. NASA Technical Reports Server (NASA). 8 indexed citations
20.
Simon, F. F. & David E. Ashpis. (1996). Progress in Modeling of Laminar to Turbulent Transition on Turbine Vanes and Blades. NASA Technical Reports Server (NASA). 11 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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