Per‐Olof Persson

7.3k total citations · 3 hit papers
121 papers, 5.1k citations indexed

About

Per‐Olof Persson is a scholar working on Computational Mechanics, Geophysics and Artificial Intelligence. According to data from OpenAlex, Per‐Olof Persson has authored 121 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computational Mechanics, 26 papers in Geophysics and 24 papers in Artificial Intelligence. Recurrent topics in Per‐Olof Persson's work include Computational Fluid Dynamics and Aerodynamics (42 papers), Advanced Numerical Methods in Computational Mathematics (40 papers) and Geological and Geochemical Analysis (25 papers). Per‐Olof Persson is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (42 papers), Advanced Numerical Methods in Computational Mathematics (40 papers) and Geological and Geochemical Analysis (25 papers). Per‐Olof Persson collaborates with scholars based in United States, Sweden and United Kingdom. Per‐Olof Persson's co-authors include J. Peraire, Gilbert Strang, Matthew J. Zahr, Kjell Billström, Javier Bonet, Mark Drela, Alejandra Uranga, Eva Hjärthner‐Holdar, Johan Ling and Lena Grandin and has published in prestigious journals such as Journal of Computational Physics, Geophysical Research Letters and Magnetic Resonance in Medicine.

In The Last Decade

Per‐Olof Persson

113 papers receiving 4.9k citations

Hit Papers

A Simple Mesh Generator in MATLAB 2004 2026 2011 2018 2004 2013 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per‐Olof Persson United States 33 2.9k 931 568 536 468 121 5.1k
Hongkai Zhao United States 31 1.9k 0.7× 512 0.5× 164 0.3× 141 0.3× 470 1.0× 87 4.5k
B. Coll Spain 23 1.5k 0.5× 371 0.4× 376 0.7× 488 0.9× 485 1.0× 51 10.9k
M. Y. Hussaini United States 18 2.8k 1.0× 137 0.1× 1.1k 1.9× 171 0.3× 818 1.7× 41 6.4k
Wolfgang Bangerth United States 27 1.9k 0.6× 623 0.7× 179 0.3× 66 0.1× 814 1.7× 81 4.3k
Anders Logg Sweden 25 1.7k 0.6× 181 0.2× 198 0.3× 126 0.2× 912 1.9× 69 4.7k
K. W. Morton United Kingdom 28 2.4k 0.8× 156 0.2× 272 0.5× 126 0.2× 430 0.9× 79 5.2k
Omar Knio United States 38 1.6k 0.6× 102 0.1× 665 1.2× 160 0.3× 1.0k 2.1× 218 6.0k
J. R. Ockendon United Kingdom 30 1.3k 0.5× 218 0.2× 215 0.4× 53 0.1× 368 0.8× 119 3.7k
Garth N. Wells United Kingdom 30 2.2k 0.7× 203 0.2× 235 0.4× 150 0.3× 2.5k 5.3× 79 6.0k
Christophe Geuzaine Belgium 28 2.7k 0.9× 327 0.4× 662 1.2× 63 0.1× 1.5k 3.3× 219 7.9k

Countries citing papers authored by Per‐Olof Persson

Since Specialization
Citations

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

Fields of papers citing papers by Per‐Olof Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Per‐Olof Persson. 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 Per‐Olof Persson. The network helps show where Per‐Olof Persson may publish in the future.

Co-authorship network of co-authors of Per‐Olof Persson

This figure shows the co-authorship network connecting the top 25 collaborators of Per‐Olof Persson. A scholar is included among the top collaborators of Per‐Olof Persson 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 Per‐Olof Persson. Per‐Olof Persson 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.
İnalpolat, Murat, et al.. (2023). Aeroacoustics-Based Structural Health Monitoring of Airfoils with Surface Damage and Domain Coupling. AIAA Journal. 61(11). 5187–5190.
2.
Fidkowski, Krzysztof, Per‐Olof Persson, & Ngoc Cuong Nguyen. (2023). Special Issue: Advances in High-Order Methods for CFD. International journal of computational fluid dynamics. 37(6). 429–429. 1 indexed citations
3.
Zahr, Matthew J., et al.. (2020). Implicit shock tracking using an optimization-based high-order discontinuous Galerkin method. Journal of Computational Physics. 410. 109385–109385. 43 indexed citations
4.
Huang, Daniel Zhengyu, Will Pazner, Per‐Olof Persson, & Matthew J. Zahr. (2020). High-order partitioned spectral deferred correction solvers for multiphysics problems. Journal of Computational Physics. 412. 109441–109441. 9 indexed citations
6.
Zahr, Matthew J., et al.. (2019). Implicit shock tracking using an optimization-based, r-adaptive, high-order discontinuous Galerkin method.. arXiv (Cornell University). 2 indexed citations
7.
Zahr, Matthew J. & Per‐Olof Persson. (2018). An optimization-based approach for high-order accurate discretization of conservation laws with discontinuous solutions. Journal of Computational Physics. 365. 105–134. 50 indexed citations
8.
Huang, Daniel Zhengyu, Per‐Olof Persson, & Matthew J. Zahr. (2018). High-order, linearly stable, partitioned solvers for general multiphysics problems based on implicit–explicit Runge–Kutta schemes. Computer Methods in Applied Mechanics and Engineering. 346. 674–706. 16 indexed citations
9.
Zahr, Matthew J. & Per‐Olof Persson. (2016). An adjoint method for a high-order discretization of deforming domain conservation laws for optimization of flow problems. Journal of Computational Physics. 326. 516–543. 18 indexed citations
10.
Suckale, Jenny, Tobias Keller, K. V. Cashman, & Per‐Olof Persson. (2016). Flow‐to‐fracture transition in a volcanic mush plug may govern normal eruptions at Stromboli. Geophysical Research Letters. 43(23). 44 indexed citations
11.
Zahr, Matthew J., Per‐Olof Persson, & Jon Wilkening. (2016). A fully discrete adjoint method for optimization of flow problems on deforming domains with time-periodicity constraints. Computers & Fluids. 139. 130–147. 9 indexed citations
13.
Willis, David J. & Per‐Olof Persson. (2013). Generating LEVs on Energetically Optimal, Flapping Wing Designs by Modulating Leading Edge Angle. 1 indexed citations
14.
Persson, Per‐Olof. (2012). A sparse and high-order accurate line-based discontinuous Galerkin method for unstructured meshes. Journal of Computational Physics. 233. 414–429. 27 indexed citations
15.
Persson, Per‐Olof & J. Peraire. (2009). Curved Mesh Generation and Mesh Refinement using Lagrangian Solid Mechanics. 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. 4 indexed citations
16.
Persson, Per‐Olof, Michael J. Aftosmis, & Robert Haimes. (2006). On the Use of Loop Subdivision Surfaces for Surrogate Geometry.. IMR. 375–392. 5 indexed citations
17.
Bergman, Stefan, Kjell Billström, Per‐Olof Persson, Torbjörn Skiöld, & P. Evins. (2006). U-Pb age evidence for repeated Palaeoproterozoic metamorphism and deformation near the Pajala shear zone in the northern Fennoscandian shield. GFF. 128(1). 7–20. 33 indexed citations
18.
Persson, Per‐Olof. (2004). PDE-Based Gradient Limiting for Mesh Size Functions.. IMR. 9(3). 377–388. 9 indexed citations
19.
Persson, Per‐Olof & Gilbert Strang. (2004). A Simple Mesh Generator in MATLAB. SIAM Review. 46(2). 329–345. 1063 indexed citations breakdown →
20.
Persson, Per‐Olof, et al.. (1984). The Effects on Telecommunication Lines Caused by Harmonics in Power and Traction Lines. 1–6. 1 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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