Susan E. Cliff

597 total citations
40 papers, 512 citations indexed

About

Susan E. Cliff is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Susan E. Cliff has authored 40 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Mechanics, 29 papers in Aerospace Engineering and 8 papers in Applied Mathematics. Recurrent topics in Susan E. Cliff's work include Computational Fluid Dynamics and Aerodynamics (37 papers), Fluid Dynamics and Turbulent Flows (18 papers) and Aerodynamics and Acoustics in Jet Flows (13 papers). Susan E. Cliff is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (37 papers), Fluid Dynamics and Turbulent Flows (18 papers) and Aerodynamics and Acoustics in Jet Flows (13 papers). Susan E. Cliff collaborates with scholars based in United States and Norway. Susan E. Cliff's co-authors include Michael J. Aftosmis, R. M. Hicks, Alaa Elmiligui, Marian Nemec, Richard L. Campbell, Michael A. Park, James Reuther, David Saunders, Melissa B. Carter and S. Thomas and has published in prestigious journals such as Journal of Aircraft, 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization and 29th AIAA Applied Aerodynamics Conference.

In The Last Decade

Susan E. Cliff

40 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan E. Cliff United States 13 445 325 109 86 69 40 512
Ben Rider United States 7 525 1.2× 321 1.0× 131 1.2× 74 0.9× 76 1.1× 8 602
Tom Zickuhr United States 9 699 1.6× 366 1.1× 195 1.8× 92 1.1× 57 0.8× 13 781
Simone Crippa Germany 13 653 1.5× 406 1.2× 155 1.4× 84 1.0× 57 0.8× 21 729
G. Schrauf Germany 13 520 1.2× 355 1.1× 46 0.4× 52 0.6× 89 1.3× 33 624
Yoshikazu Makino Japan 12 330 0.7× 259 0.8× 73 0.7× 86 1.0× 46 0.7× 69 461
Sriram K. Rallabhandi United States 15 583 1.3× 432 1.3× 141 1.3× 163 1.9× 115 1.7× 52 709
Cord-Christian Rossow Germany 15 723 1.6× 415 1.3× 169 1.6× 87 1.0× 95 1.4× 43 829
Kelly Laflin United States 13 887 2.0× 488 1.5× 228 2.1× 109 1.3× 70 1.0× 15 968
Mohagna J. Pandya United States 12 589 1.3× 315 1.0× 186 1.7× 40 0.5× 29 0.4× 37 628
Edward B. Parlette United States 11 382 0.9× 241 0.7× 94 0.9× 33 0.4× 13 0.2× 24 431

Countries citing papers authored by Susan E. Cliff

Since Specialization
Citations

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

Fields of papers citing papers by Susan E. Cliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan E. Cliff

This figure shows the co-authorship network connecting the top 25 collaborators of Susan E. Cliff. A scholar is included among the top collaborators of Susan E. Cliff 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 Susan E. Cliff. Susan E. Cliff 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.
Cliff, Susan E., M. Denison, James C. Jensen, et al.. (2018). Nozzle Plume/Shock Interaction Experimental and Computational Sonic Boom Analyses from the NASA Ames 9- by 7-Foot Supersonic Wind Tunnel. NASA Technical Reports Server (NASA). 7 indexed citations
2.
Cliff, Susan E., M. Denison, Derek J. Dalle, et al.. (2017). Nozzle Plume/Shock Interaction Sonic Boom Test Results from the NASA Ames 9- by 7-Foot Supersonic Wind Tunnel. 55th AIAA Aerospace Sciences Meeting. 11 indexed citations
3.
Cliff, Susan E., et al.. (2016). Wind Tunnel Model Design for Sonic Boom Studies of Nozzle Jet Flow with Shock Interactions. 54th AIAA Aerospace Sciences Meeting. 7 indexed citations
4.
Cliff, Susan E., et al.. (2015). Experimental and Computational Sonic Boom Assessment of Lockheed-Martin N+2 Low Boom Models. NASA Technical Reports Server (NASA). 2 indexed citations
5.
Cliff, Susan E., et al.. (2015). Plume and Shock Interaction Effects on Sonic Boom in the 1-foot by 1-foot Supersonic Wind Tunnel. 53rd AIAA Aerospace Sciences Meeting. 7 indexed citations
6.
Elmiligui, Alaa, et al.. (2014). Experimental and Computational Sonic Boom Assessment of Boeing N+2 Low Boom Models. 32nd AIAA Applied Aerodynamics Conference. 7 indexed citations
7.
Cliff, Susan E., et al.. (2014). Computational and Experimental Assessment of Models for the First AIAA Sonic Boom Prediction Workshop. 52nd Aerospace Sciences Meeting. 20 indexed citations
8.
Park, Michael A., et al.. (2014). Specialized CFD Grid Generation Methods for Near-Field Sonic Boom Prediction. 52nd Aerospace Sciences Meeting. 35 indexed citations
9.
Cliff, Susan E., et al.. (2013). Refined Tetrahedral Meshes with Mach Cone Aligned Prisms for Sonic Boom Analysis. Journal of Aircraft. 50(3). 778–790. 8 indexed citations
10.
Cliff, Susan E., Alaa Elmiligui, Richard L. Campbell, & S. Thomas. (2011). Evaluation of Refined Tetrahedral Meshes with Projected, Stretched, and Sheared Prism Layers for Sonic Boom Analysis (Invited). 29th AIAA Applied Aerodynamics Conference. 13 indexed citations
11.
Cliff, Susan E., et al.. (2005). The Apollo Capsule Optimization for Improved Stability and Computational/Experimental Data Comparisons. NASA Technical Reports Server (NASA). 2 indexed citations
12.
Cliff, Susan E., et al.. (2002). Vehicle Design of a Sharp CTV Concept Using a Virtual Flight Rapid Integration Test Environment. AIAA Atmospheric Flight Mechanics Conference and Exhibit. 7 indexed citations
13.
Cliff, Susan E., James Reuther, David Saunders, & R. M. Hicks. (2001). Single-Point and Multipoint Aerodynamic Shape Optimization of High-Speed Civil Transport. Journal of Aircraft. 38(6). 997–1005. 50 indexed citations
14.
Cliff, Susan E., et al.. (1999). Simulated Inlet Unstart and Nacelle/Diverter Effects for the Boeing Reference H Configuration. NASA Technical Reports Server (NASA). 1 indexed citations
15.
Baker, Timothy J., et al.. (1999). Improvements to the Unstructured Mesh Generator MESH3D. NASA Technical Reports Server (NASA). 1. 1 indexed citations
16.
Reuther, Josephine, Susan E. Cliff, R. M. Hicks, & C. VAN DAM. (1992). Practical design optimization of wing/body configurations using the Euler equations. 29 indexed citations
17.
Cliff, Susan E.. (1992). Computational/experimental analysis of three low sonic boom configurations with design modifications. NASA Technical Reports Server (NASA). 1 indexed citations
18.
Cliff, Susan E. & S. Thomas. (1991). Euler/experiment correlations of sonic boom pressure signatures. 5 indexed citations
19.
Hicks, R. M. & Susan E. Cliff. (1991). An evaluation of three two-dimensional computational fluid dynamics codes including low Reynolds numbers and transonic Mach numbers. NASA STI Repository (National Aeronautics and Space Administration). 13 indexed citations
20.
Smith, Steven G., Susan E. Cliff, & Ilan Kroo. (1987). The design of a joined wing flight demonstrator aircraft. 25 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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