Christopher Sheaf

694 total citations
53 papers, 557 citations indexed

About

Christopher Sheaf is a scholar working on Aerospace Engineering, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Christopher Sheaf has authored 53 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Aerospace Engineering, 39 papers in Computational Mechanics and 26 papers in Global and Planetary Change. Recurrent topics in Christopher Sheaf's work include Computational Fluid Dynamics and Aerodynamics (30 papers), Advanced Aircraft Design and Technologies (26 papers) and Turbomachinery Performance and Optimization (24 papers). Christopher Sheaf is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (30 papers), Advanced Aircraft Design and Technologies (26 papers) and Turbomachinery Performance and Optimization (24 papers). Christopher Sheaf collaborates with scholars based in United Kingdom, Netherlands and Italy. Christopher Sheaf's co-authors include David G. MacManus, Fernando Tejero, Ioannis Goulos, Matthew Robinson, Robert Christie, Nagabhushana Rao Vadlamani, Teng Cao, Paul G. Tucker, Holger Babinsky and Philip Woodrow and has published in prestigious journals such as AIAA Journal, Measurement Science and Technology and International Journal of Heat and Fluid Flow.

In The Last Decade

Christopher Sheaf

47 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Sheaf United Kingdom 15 413 386 257 67 53 53 557
Anıl Yıldırım United States 10 248 0.6× 333 0.9× 214 0.8× 87 1.3× 68 1.3× 34 521
Alejandra Uranga United States 11 481 1.2× 432 1.1× 423 1.6× 17 0.3× 24 0.5× 24 738
Robert Christie United States 12 264 0.6× 136 0.4× 121 0.5× 32 0.5× 23 0.4× 40 377
Arthur C. Huang United States 9 342 0.8× 255 0.7× 267 1.0× 10 0.1× 16 0.3× 12 441
Andy Ko United States 10 336 0.8× 147 0.4× 242 0.9× 23 0.3× 40 0.8× 21 427
Sriram Shankaran United States 14 261 0.6× 428 1.1× 35 0.1× 48 0.7× 45 0.8× 31 549
Ney Rafael Sêcco Brazil 8 188 0.5× 218 0.6× 151 0.6× 45 0.7× 52 1.0× 15 353
Karl Geiselhart United States 13 317 0.8× 235 0.6× 200 0.8× 16 0.2× 53 1.0× 34 413
Kevin Bowcutt Australia 13 326 0.8× 306 0.8× 41 0.2× 21 0.3× 39 0.7× 29 465
Alan Le Moigne United Kingdom 8 322 0.8× 293 0.8× 190 0.7× 31 0.5× 24 0.5× 12 434

Countries citing papers authored by Christopher Sheaf

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Sheaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Sheaf

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Sheaf. A scholar is included among the top collaborators of Christopher Sheaf 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 Christopher Sheaf. Christopher Sheaf 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.
Tejero, Fernando, et al.. (2025). Aerodynamics of High-Bypass-Ratio Aeroengine Nacelles: Numerical and Experimental Investigation. Journal of Aircraft. 62(4). 1004–1017.
2.
Tejero, Fernando, et al.. (2024). Artificial neural network for preliminary design and optimisation of civil aero-engine nacelles. The Aeronautical Journal. 128(1328). 2261–2280. 1 indexed citations
3.
MacManus, David G., et al.. (2024). Numerical and experimental investigations of diffusion-induced boundary layer separation on aero-engine nacelles. International Journal of Heat and Fluid Flow. 109. 109530–109530. 2 indexed citations
4.
MacManus, David G., et al.. (2024). Nacelle optimisation through multi-fidelity neural networks. International Journal of Numerical Methods for Heat & Fluid Flow. 34(9). 3615–3634. 1 indexed citations
5.
MacManus, David G., et al.. (2024). Design optimisation of separate-jet exhausts with CFD in-the-loop and dimensionality reduction techniques. CERES (Cranfield University). 1 indexed citations
6.
Zachos, Pavlos K., et al.. (2024). Unsteady Swirl Distortion in a Short Intake Under Crosswind Conditions. CERES (Cranfield University). 1 indexed citations
7.
MacManus, David G., et al.. (2024). Installed nacelle aerodynamics at cruise and windmilling conditions. Aircraft Engineering and Aerospace Technology. 96(6). 757–768.
8.
Zachos, Pavlos K., et al.. (2024). Unsteady Swirl Distortion in a Short Intake Under Crosswind Conditions. AIAA Journal. 63(5). 1867–1884. 1 indexed citations
9.
Zachos, Pavlos K., et al.. (2024). Coupled Fan-Intake Dynamic Distortion Characterization at Crosswind Conditions. AIAA Journal. 63(2). 811–815.
10.
Tejero, Fernando, David G. MacManus, Ioannis Goulos, & Christopher Sheaf. (2023). Propulsion integration study of civil aero-engine nacelles. The Aeronautical Journal. 128(1320). 325–339. 4 indexed citations
11.
Zachos, Pavlos K., et al.. (2023). High-resolution turbofan intake flow characterization by automated stereoscopic-PIV in an industrial wind tunnel environment. Measurement Science and Technology. 35(2). 25210–25210. 7 indexed citations
12.
Babinsky, Holger, et al.. (2022). The Influence of Surface Geometry on the Fan-Plane Boundary-Layer in Transonic Intakes at High-Incidence. AIAA SCITECH 2022 Forum. 3 indexed citations
13.
Dodds, John A., et al.. (2021). Aerodynamic Loading Considerations of Three-Shaft Engine Compression System During Surge. Journal of Turbomachinery. 143(12). 8 indexed citations
14.
Tejero, Fernando, David G. MacManus, & Christopher Sheaf. (2020). Impact of Droop and Scarf on the Aerodynamic Performance of Compact Aero-Engine Nacelles. AIAA Scitech 2020 Forum. 9 indexed citations
15.
Robinson, Matthew, David G. MacManus, & Christopher Sheaf. (2018). Aspects of aero-engine nacelle drag. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 233(5). 1667–1682. 21 indexed citations
16.
Robinson, Matthew, et al.. (2017). Short and slim nacelle design for ultra-high BPR engines. 55th AIAA Aerospace Sciences Meeting. 16 indexed citations
17.
MacManus, David G., et al.. (2017). Aerodynamic Effects of Propulsion Integration for High Bypass Ratio Engines. Journal of Aircraft. 54(6). 2270–2284. 26 indexed citations
18.
Goulos, Ioannis, et al.. (2017). Civil turbofan engine exhaust aerodynamics: Impact of bypass nozzle after-body design. Aerospace Science and Technology. 73. 85–95. 27 indexed citations
19.
Cao, Teng, et al.. (2016). Fan-Intake Interaction Under High Incidence. Apollo (University of Cambridge). 14 indexed citations
20.
MacManus, David G., et al.. (2016). Aerodynamics of aero-engine installation. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 230(14). 2673–2692. 24 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Anıl Yıldırım Breakdown of academic impact, for papers by Alejandra Uranga Breakdown of academic impact, for papers by Robert Christie Breakdown of academic impact, for papers by Arthur C. Huang Breakdown of academic impact, for papers by Andy Ko Breakdown of academic impact, for papers by Sriram Shankaran Breakdown of academic impact, for papers by Ney Rafael Sêcco Breakdown of academic impact, for papers by Karl Geiselhart Breakdown of academic impact, for papers by Kevin Bowcutt Breakdown of academic impact, for papers by Alan Le Moigne
Rankless by CCL
2026