Cody Permann

2.4k total citations · 2 hit papers
32 papers, 1.3k citations indexed

About

Cody Permann is a scholar working on Materials Chemistry, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Cody Permann has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 11 papers in Aerospace Engineering and 8 papers in Computational Mechanics. Recurrent topics in Cody Permann's work include Nuclear Materials and Properties (10 papers), Nuclear reactor physics and engineering (8 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Cody Permann is often cited by papers focused on Nuclear Materials and Properties (10 papers), Nuclear reactor physics and engineering (8 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Cody Permann collaborates with scholars based in United States and Australia. Cody Permann's co-authors include Derek Gaston, David Andrš, Richard Martineau, Michael Tonks, Andrew E. Slaughter, John W. Peterson, Fande Kong, Stephen Novascone, Alexander Lindsay and Robert Carlsen and has published in prestigious journals such as International Journal for Numerical Methods in Engineering, Journal of Nuclear Materials and Advances in Water Resources.

In The Last Decade

Cody Permann

31 papers receiving 1.3k citations

Hit Papers

MOOSE: Enabling massively parallel m... 2012 2026 2016 2021 2020 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cody Permann United States 15 858 756 275 177 144 32 1.3k
David Andrš United States 17 1.1k 1.3× 947 1.3× 355 1.3× 198 1.1× 214 1.5× 33 1.7k
Richard Martineau United States 19 999 1.2× 1.0k 1.4× 262 1.0× 160 0.9× 306 2.1× 64 1.7k
Andrew E. Slaughter United States 13 475 0.6× 424 0.6× 191 0.7× 134 0.8× 119 0.8× 31 980
Glen Hansen United States 15 397 0.5× 405 0.5× 203 0.7× 141 0.8× 257 1.8× 44 1.1k
Derek Gaston United States 19 1.6k 1.9× 1.4k 1.8× 535 1.9× 327 1.8× 342 2.4× 56 2.6k
Fande Kong United States 13 347 0.4× 314 0.4× 167 0.6× 130 0.7× 224 1.6× 28 845
Chris Newman United States 4 344 0.4× 309 0.4× 129 0.5× 96 0.5× 106 0.7× 5 681
Jason Hales United States 22 1.7k 1.9× 1.4k 1.9× 234 0.9× 126 0.7× 90 0.6× 65 1.9k
Cetin Unal United States 17 630 0.7× 637 0.8× 365 1.3× 54 0.3× 397 2.8× 64 1.3k
Robert Carlsen United States 7 326 0.4× 279 0.4× 140 0.5× 102 0.6× 89 0.6× 13 613

Countries citing papers authored by Cody Permann

Since Specialization
Citations

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

Fields of papers citing papers by Cody Permann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cody Permann

This figure shows the co-authorship network connecting the top 25 collaborators of Cody Permann. A scholar is included among the top collaborators of Cody Permann 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 Cody Permann. Cody Permann 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.
Hu, Rui, Ling Zou, Guojun Hu, et al.. (2024). SAM: A Modern System Code for Advanced Non-LWR Safety Analysis. Nuclear Technology. 211(9). 1883–1902. 2 indexed citations
2.
Lindsay, Alexander, Guillaume Giudicelli, Péter German, et al.. (2023). MOOSE Navier–Stokes module. SoftwareX. 23. 101503–101503. 15 indexed citations
3.
Jin, Wencheng, Logan Harbour, Fande Kong, et al.. (2023). A robust interface finite element formulation for modeling brittle material failure problems. International Journal for Numerical Methods in Engineering. 124(23). 5356–5374. 1 indexed citations
4.
Icenhour, Casey, Alexander Lindsay, Cody Permann, et al.. (2023). The MOOSE electromagnetics module. SoftwareX. 25. 101621–101621. 1 indexed citations
5.
Permann, Cody, Andrea Jokisaari, Michael Tonks, et al.. (2021). Scalable Feature Tracking for Finite Element Meshes Demonstrated with a Novel Phase-Field Grain Subdivision Model. Nuclear Technology. 207(7). 885–904. 12 indexed citations
6.
Martineau, Richard, David Andrš, Robert Carlsen, et al.. (2020). Multiphysics for nuclear energy applications using a cohesive computational framework. Nuclear Engineering and Design. 367. 110751–110751. 18 indexed citations
7.
Schwen, Daniel, et al.. (2019). Mesoscale Modeling of High Burn-Up Structure Formation and Evolution in UO2. JOM. 71(12). 4817–4828. 24 indexed citations
8.
Permann, Cody, et al.. (2018). Multi-Physics Object Oriented Simulation Environment (MOOSE). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
9.
Kong, Fande, Roy H. Stogner, Derek Gaston, et al.. (2018). A General-Purpose Hierarchical Mesh Partitioning Method with Node Balancing Strategies for Large-Scale Numerical Simulations. 65–72. 6 indexed citations
10.
Novak, April, Paul Romano, B. Wendt, et al.. (2018). Preliminary coupling of openmc and Nek5000 within the moose framework. 2162–2173. 7 indexed citations
11.
Jin, Miaomiao, Cody Permann, & Michael P. Short. (2018). Breaking the power law: Multiscale simulations of self-ion irradiated tungsten. Journal of Nuclear Materials. 504. 33–40. 8 indexed citations
12.
Slaughter, Andrew E., Michael Tonks, Derek Gaston, et al.. (2014). Moose: A Framework to Enable Rapid Advances and Collaboration in Modeling Snow and Avalanches. 644–650.
13.
Gaston, Derek, Cody Permann, John W. Peterson, et al.. (2014). Physics-based multiscale coupling for full core nuclear reactor simulation. Annals of Nuclear Energy. 84. 45–54. 190 indexed citations
14.
Permann, Cody, David Andrš, John W. Peterson, & Derek Gaston. (2013). MASSIVE HYBRID PARALLELISM FOR FULLY IMPLICIT MULTIPHYSICS. University of North Texas Digital Library (University of North Texas). 4 indexed citations
15.
Francis, D.K., Derek Gaston, Nayeon Lee, et al.. (2012). Characterization and failure analysis of a polymeric clamp hanger component. Engineering Failure Analysis. 26. 230–239. 5 indexed citations
16.
Williamson, R.L., Jason Hales, Stephen Novascone, et al.. (2012). Multidimensional multiphysics simulation of nuclear fuel behavior. Journal of Nuclear Materials. 423(1-3). 149–163. 339 indexed citations breakdown →
17.
Tonks, Michael, Derek Gaston, Cody Permann, et al.. (2010). A coupling methodology for mesoscale-informed nuclear fuel performance codes. Nuclear Engineering and Design. 240(10). 2877–2883. 17 indexed citations
18.
Hansen, Glen, Chris Newman, Derek Gaston, & Cody Permann. (2009). An Implicit Solution Framework for Reactor Fuel Performance Simulation. University of North Texas Digital Library (University of North Texas). 1 indexed citations
19.
Gaston, Derek, Glen Hansen, D. A. Knoll, et al.. (2009). Parallel multiphysics algorithms and software for computational nuclear engineering. Journal of Physics Conference Series. 180. 12012–12012. 14 indexed citations
20.
Tonks, Michael, Glen Hansen, Derek Gaston, et al.. (2009). Fully-coupled engineering and mesoscale simulations of thermal conductivity in UO2fuel using an implicit multiscale approach. Journal of Physics Conference Series. 180. 12078–12078. 13 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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