Kevin Tucker

20 papers receiving 482 citations

Peers

Kevin Tucker
Comparison fields: 5 of 70
  • Aerospace Engineering 205
  • Computational Theory and Mathematics 204
  • Mechanical Engineering 129
  • Computational Mechanics 125
  • Statistics, Probability and Uncertainty 105
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Zeping Wu China
Lavi Rizki Zuhal Indonesia
Bret A. Naylor United States
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Renhe Shi China
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Kevin Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Tucker

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Tucker. A scholar is included among the top collaborators of Kevin Tucker 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 Kevin Tucker. Kevin Tucker 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
#WorkIndexed citations
1 18
2 243
3 5
4
Accuracy Quantification of the Loci-CHEM Code for Chamber Wall Heat Transfer in a GO2/GH2 Single Element Injector Model Problem
3
5
Use, Assessment, and Improvement of the Loci-CHEM CFD Code for Simulation of Combustion in a Single Element GO2/GH2 Injector and Chamber
0
6 9
7 19
8
CFD Code Validation of Wall HeatFluxes for a GO2/GH2 Single Combustor
1
9 18
10 2
11 13
12 134
13 0
14
Global Design Optimization for Fluid Machinery Applications
6
15 8
16
CFD analysis of the STME nozzle flowfield
1
17 5
18 7
19 6
20 2

About Kevin Tucker

Kevin Tucker is a scholar working on Computational Mechanics, Aerospace Engineering and Fluid Flow and Transfer Processes, having authored 22 papers that have together received 514 indexed citations. Recurring topics across this work include Rocket and propulsion systems research (14 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Heat transfer and supercritical fluids (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (105 citations), Computational Theory and Mathematics (204 citations) and Aerospace Engineering (205 citations). Kevin Tucker has collaborated with scholars based in United States, Venezuela and China. Frequent co-authors include Wei Shyy, Rajkumar Vaidyanathan, Raphael T. Haftka, Tushar Goel, Néstor V. Queipo, Nilay Papila, Paul King, Frederick R. Schauer, Frederick Schauer and Andrzej Przekwas. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Progress in Aerospace Sciences and Journal of Propulsion and Power.

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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