James G. Coder

1.1k total citations
91 papers, 817 citations indexed

About

James G. Coder is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, James G. Coder has authored 91 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computational Mechanics, 49 papers in Aerospace Engineering and 20 papers in Applied Mathematics. Recurrent topics in James G. Coder's work include Computational Fluid Dynamics and Aerodynamics (74 papers), Fluid Dynamics and Turbulent Flows (64 papers) and Gas Dynamics and Kinetic Theory (20 papers). James G. Coder is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (74 papers), Fluid Dynamics and Turbulent Flows (64 papers) and Gas Dynamics and Kinetic Theory (20 papers). James G. Coder collaborates with scholars based in United States, Australia and France. James G. Coder's co-authors include Mark D. Maughmer, Dan M. Somers, Thomas H. Pulliam, James C. Jensen, Sven Schmitz, Julia A. Cole, Anthony Sclafani, John Vassberg, Carl Ollivier‐Gooch and Andrew J. Dorgan and has published in prestigious journals such as AIAA Journal, Physics of Fluids and Experiments in Fluids.

In The Last Decade

James G. Coder

76 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James G. Coder United States 15 731 522 114 87 49 91 817
Jeffrey A. Housman United States 16 717 1.0× 577 1.1× 152 1.3× 96 1.1× 30 0.6× 71 824
Andreas Krumbein Germany 19 773 1.1× 561 1.1× 70 0.6× 120 1.4× 40 0.8× 54 825
D. Schwamborn Germany 13 642 0.9× 437 0.8× 106 0.9× 119 1.4× 35 0.7× 30 759
Robert Tomaro United States 8 634 0.9× 484 0.9× 171 1.5× 56 0.6× 31 0.6× 13 720
William Strang United States 9 726 1.0× 530 1.0× 193 1.7× 72 0.8× 32 0.7× 14 813
Matthew J. Grismer United States 9 552 0.8× 437 0.8× 138 1.2× 44 0.5× 29 0.6× 15 646
Joseph H. Morrison United States 14 916 1.3× 501 1.0× 208 1.8× 149 1.7× 78 1.6× 35 1.0k
Ralf Rudnik Germany 16 584 0.8× 533 1.0× 56 0.5× 73 0.8× 99 2.0× 65 678
Simone Crippa Germany 13 653 0.9× 406 0.8× 155 1.4× 84 1.0× 57 1.2× 21 729
L. Vigevano Italy 15 500 0.7× 313 0.6× 145 1.3× 68 0.8× 20 0.4× 55 635

Countries citing papers authored by James G. Coder

Since Specialization
Citations

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

Fields of papers citing papers by James G. Coder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Coder. 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 James G. Coder. The network helps show where James G. Coder may publish in the future.

Co-authorship network of co-authors of James G. Coder

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Coder. A scholar is included among the top collaborators of James G. Coder 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 James G. Coder. James G. Coder 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.
Coder, James G., et al.. (2025). What Price Hover?. Journal of Aircraft. 1–5.
2.
Knight, Doyle, Jean-Pierre Hickey, Valerio Viti, et al.. (2025). A review of Reynolds-averaged Navier–Stokes modeling for hypersonic large cone–flares. Physics of Fluids. 37(2). 4 indexed citations
3.
5.
Coder, James G., et al.. (2024). Output-based mesh adaptation for high-speed flows. Computers & Fluids. 273. 106208–106208.
7.
Coder, James G., et al.. (2024). Transition prediction in hypersonic regime on complex geometries with RANS-based models. SPIRE - Sciences Po Institutional REpository.
8.
Long, Ethan S., et al.. (2023). Design and Characterization of High-Lift Capabilities for Slotted, Natural-Laminar-Flow Airfoils. Journal of Aircraft. 60(4). 1238–1256. 4 indexed citations
9.
Coder, James G.. (2023). Accuracy of high-order, discrete approximations to the lifting-line equation. The Aeronautical Journal. 127(1315). 1536–1553.
11.
Coder, James G., et al.. (2022). Calibration of the Critical Amplification Factor for Reynolds-Averaged Navier–Stokes-Based Transition Modeling. AIAA Journal. 60(9). 5094–5108. 10 indexed citations
12.
Bond, Ryan B., et al.. (2021). Simulations of Dynamic Shock Wave/Boundary Layer Interactions Using HPCMP CREATETM-AV Kestrel COFFE. AIAA Scitech 2021 Forum. 1 indexed citations
13.
Coder, James G., et al.. (2020). Reduced-Order Modeling and Analysis of Unsteady Rotor Hub Flows. 1–10. 1 indexed citations
14.
Coder, James G. & Dan M. Somers. (2020). Design of a slotted, natural-laminar-flow airfoil for commercial transport applications. Aerospace Science and Technology. 106. 106217–106217. 23 indexed citations
15.
16.
Coder, James G., et al.. (2018). Effect of Laminar-Turbulent Transition Modeling on PSP Rotor Hover Predictions. 2018 AIAA Aerospace Sciences Meeting. 5 indexed citations
17.
Maughmer, Mark D., James G. Coder, & Dan M. Somers. (2018). Exploration of a Slotted, Natural-Laminar-Flow Airfoil Concept. 7 indexed citations
18.
Coder, James G., et al.. (2017). Structured, Overset Simulations for the 1st Rotor Hub Flow Workshop. 1–10. 1 indexed citations
19.
Coder, James G.. (2014). Development of a CFD-compatible transition model based on linear stability theory. PhDT. 15 indexed citations
20.
Coder, James G. & Mark D. Maughmer. (2014). Numerical Validation of the Squire–Young Formula for Profile-Drag Prediction. Journal of Aircraft. 52(3). 948–955. 9 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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