Glen Hansen

2.1k total citations · 1 hit paper
44 papers, 1.1k citations indexed

About

Glen Hansen is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Glen Hansen has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 10 papers in Aerospace Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Glen Hansen's work include Advanced Numerical Methods in Computational Mathematics (18 papers), Nuclear reactor physics and engineering (9 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). Glen Hansen is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (18 papers), Nuclear reactor physics and engineering (9 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). Glen Hansen collaborates with scholars based in United States, Denmark and France. Glen Hansen's co-authors include Derek Gaston, Chris Newman, Damien Lebrun-Grandié, A. S. Jensen, Andrew Zardecki, R.W. Douglass, J. Matthew Mahoney, Kenneth R. Muske, David W. Greening and Cody Permann and has published in prestigious journals such as Journal of Computational Physics, Nuclear Physics A and Journal of Nuclear Materials.

In The Last Decade

Glen Hansen

41 papers receiving 1.1k citations

Hit Papers

MOOSE: A parallel computational framework for coupled sys... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glen Hansen United States 15 405 397 257 203 141 44 1.1k
Andrew E. Slaughter United States 13 424 1.0× 475 1.2× 119 0.5× 191 0.9× 134 1.0× 31 980
Damien Lebrun-Grandié United States 7 278 0.7× 312 0.8× 145 0.6× 126 0.6× 89 0.6× 17 953
Fande Kong United States 13 314 0.8× 347 0.9× 224 0.9× 167 0.8× 130 0.9× 28 845
Cody Permann United States 15 756 1.9× 858 2.2× 144 0.6× 275 1.4× 177 1.3× 32 1.3k
Roy H. Stogner United States 4 283 0.7× 339 0.9× 315 1.2× 182 0.9× 171 1.2× 5 1.1k
Richard Martineau United States 19 1.0k 2.5× 999 2.5× 306 1.2× 262 1.3× 160 1.1× 64 1.7k
David Andrš United States 17 947 2.3× 1.1k 2.7× 214 0.8× 355 1.7× 198 1.4× 33 1.7k
Tengfei Zhang China 17 496 1.2× 345 0.9× 173 0.7× 119 0.6× 45 0.3× 94 798
Andreas Peters Germany 12 414 1.0× 131 0.3× 405 1.6× 208 1.0× 226 1.6× 99 874
Mojtaba Mahzoon Iran 23 151 0.4× 529 1.3× 140 0.5× 177 0.9× 470 3.3× 98 1.5k

Countries citing papers authored by Glen Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Glen Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glen Hansen

This figure shows the co-authorship network connecting the top 25 collaborators of Glen Hansen. A scholar is included among the top collaborators of Glen Hansen 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 Glen Hansen. Glen Hansen 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.
Ibanez, Daniel, et al.. (2018). Tetrahedral mesh adaptation for Lagrangian shock hydrodynamics. Computers & Mathematics with Applications. 78(2). 402–416. 3 indexed citations
2.
Salinger, Andrew G., Roscoe Bartlett, Andrew Bradley, et al.. (2016). ALBANY: USING COMPONENT-BASED DESIGN TO DEVELOP A FLEXIBLE, GENERIC MULTIPHYSICS ANALYSIS CODE. International Journal for Multiscale Computational Engineering. 14(4). 415–438. 34 indexed citations
3.
Li, Zhen, Daniel Ibanez, Assad A. Oberai, et al.. (2016). Component-based workflows for parallel thermomechanical analysis of arrayed geometries. Engineering With Computers. 33(3). 509–517. 2 indexed citations
4.
Hansen, Glen, et al.. (2015). An MPI+$$X$$ implementation of contact global search using Kokkos. Engineering With Computers. 32(2). 295–311. 8 indexed citations
5.
Salinger, Andrew G., Xujiao Gao, Glen Hansen, et al.. (2013). Albany: A Component-Based Partial Differential Equation Code Built on Trilinos.. ACM Transactions on Mathematical Software. 11 indexed citations
6.
Hansen, Glen. (2011). A Jacobian-free Newton Krylov method for mortar-discretized thermomechanical contact problems. Journal of Computational Physics. 230(17). 6546–6562. 10 indexed citations
7.
Gaston, Derek, Chris Newman, Glen Hansen, & Damien Lebrun-Grandié. (2009). MOOSE: A parallel computational framework for coupled systems of nonlinear equations. Nuclear Engineering and Design. 239(10). 1768–1778. 601 indexed citations breakdown →
8.
Newman, Christopher K., Derek Gaston, & Glen Hansen. (2009). Computational foundations for reactor fuel performance modeling. 1 indexed citations
9.
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
10.
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
11.
Almeida, Valmor F. de, et al.. (2008). Hybrid Surface Mesh Adaptation for Climate Modeling. Numerical Mathematics Theory Methods and Applications. 1(4). 1 indexed citations
12.
Berndt, Markus, D. Moulton, & Glen Hansen. (2008). Efficient nonlinear solvers for Laplace–Beltrami smoothing of three-dimensional unstructured grids. Computers & Mathematics with Applications. 55(12). 2791–2806. 3 indexed citations
13.
Hansen, Glen, et al.. (2007). USE OF THE SPATIAL KD-TREE IN COMPUTATIONAL PHYSICSAPPLICATIONS. Communications in Computational Physics. 2. 14 indexed citations
14.
Hansen, Glen & Andrew Zardecki. (2007). Unstructured surface mesh adaptation using the Laplace–Beltrami target metric approach. Journal of Computational Physics. 225(1). 165–182. 2 indexed citations
15.
Hansen, Glen, et al.. (2006). Sounding of the atmosphere using broadband emission radiometry (SABER): sensor design, performance, and lessons learned. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6297. 62970U–62970U. 6 indexed citations
16.
Hansen, Glen, R.W. Douglass, & Andrew Zardecki. (2005). Mesh Enhancement. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO. eBooks. 26 indexed citations
17.
Hansen, Glen, et al.. (2003). A finite element method for unstructured grid smoothing. Journal of Computational Physics. 194(2). 611–631. 12 indexed citations
18.
Muske, Kenneth R., et al.. (2003). Temperature profile estimation for a thermal regenerator. 4. 3944–3949. 5 indexed citations
19.
Muske, Kenneth R., et al.. (2000). Lagrangian solution methods for nonlinear model predictive control. 4239–4243 vol.6. 1 indexed citations
20.
Hansen, Glen. (2000). SOLVING A THERMAL REGENERATOR MODEL USING IMPLICIT NEWTON-KRYLOV METHODS. Numerical Heat Transfer Part A Applications. 38(1). 23–44. 15 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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