Martin Fagerström

1.1k total citations
59 papers, 850 citations indexed

About

Martin Fagerström is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Martin Fagerström has authored 59 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mechanics of Materials, 16 papers in Civil and Structural Engineering and 16 papers in Mechanical Engineering. Recurrent topics in Martin Fagerström's work include Mechanical Behavior of Composites (25 papers), Numerical methods in engineering (23 papers) and Composite Material Mechanics (18 papers). Martin Fagerström is often cited by papers focused on Mechanical Behavior of Composites (25 papers), Numerical methods in engineering (23 papers) and Composite Material Mechanics (18 papers). Martin Fagerström collaborates with scholars based in Sweden, Netherlands and Spain. Martin Fagerström's co-authors include Ragnar Larsson, Mohsen Mirkhalaf, Fredrik Larsson, J. Mediavilla, Joris J. C. Remmers, Magnus Ekh, Robin Olsson, Behdad Dashtbozorg, Christian Hopmann and Jesper Karlsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Journal of the Mechanics and Physics of Solids.

In The Last Decade

Martin Fagerström

56 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Fagerström Sweden 16 656 239 153 152 90 59 850
Steven Le Corre France 16 624 1.0× 599 2.5× 156 1.0× 120 0.8× 96 1.1× 58 1.0k
Jaan‐Willem Simon Germany 20 813 1.2× 404 1.7× 211 1.4× 102 0.7× 37 0.4× 81 1.1k
Jim Lua United States 16 672 1.0× 305 1.3× 279 1.8× 143 0.9× 112 1.2× 83 955
Xiao Jing Xu China 12 290 0.4× 422 1.8× 125 0.8× 150 1.0× 143 1.6× 45 755
Zhouzhou Pan China 14 556 0.8× 174 0.7× 313 2.0× 240 1.6× 46 0.5× 23 818
Guojun Zheng China 16 379 0.6× 309 1.3× 219 1.4× 99 0.7× 79 0.9× 43 673
Dongwoo Sohn South Korea 18 449 0.7× 140 0.6× 177 1.2× 203 1.3× 269 3.0× 55 793
Gaoming Dai China 12 326 0.5× 286 1.2× 153 1.0× 179 1.2× 16 0.2× 16 648
K. Derrien France 13 331 0.5× 231 1.0× 96 0.6× 112 0.7× 31 0.3× 25 571

Countries citing papers authored by Martin Fagerström

Since Specialization
Citations

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

Fields of papers citing papers by Martin Fagerström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Fagerström

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Fagerström. A scholar is included among the top collaborators of Martin Fagerström 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 Martin Fagerström. Martin Fagerström 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.
Liu, Fang, et al.. (2025). Mesostructural origins of the anisotropic compressive properties of low-density closed-cell foams: A deeper understanding. Journal of the Mechanics and Physics of Solids. 206. 106344–106344. 1 indexed citations
2.
Fagerström, Martin, et al.. (2025). Multi-fidelity data fusion for inelastic woven composites: Combining recurrent neural networks with transfer learning. Composites Science and Technology. 267. 111163–111163. 4 indexed citations
3.
Mikkelsen, Lars Pilgaard, et al.. (2024). Automated generation of labeled synthetic training data for machine learning based segmentation of 3D-woven composites. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).
4.
Fagerström, Martin, et al.. (2024). A method for modelling arbitrarily shaped delamination fronts with large and distorted elements. Engineering Fracture Mechanics. 306. 110193–110193. 1 indexed citations
5.
Verhoosel, Clemens V., et al.. (2024). Meso-scale modelling of complex fibre composite geometries using an immersed boundary method. Finite Elements in Analysis and Design. 242. 104262–104262.
6.
Said, Bassam El, et al.. (2024). Cyclic behaviour of 3D-woven composites in tension: Experimental testing and macroscale modelling. Composites Part A Applied Science and Manufacturing. 187. 108354–108354. 3 indexed citations
7.
Dashtbozorg, Behdad, et al.. (2023). A micromechanics‐based recurrent neural networks model for path‐dependent cyclic deformation of short fiber composites. International Journal for Numerical Methods in Engineering. 124(10). 2292–2314. 20 indexed citations
8.
Fagerström, Martin, et al.. (2023). A multiscale deep learning model for elastic properties of woven composites. International Journal of Solids and Structures. 282. 112452–112452. 35 indexed citations
9.
Fagerström, Martin, et al.. (2020). An adaptive shell element for explicit dynamic analysis of failure in laminated composites Part 2: Progressive failure and model validation. Engineering Fracture Mechanics. 244. 107364–107364. 7 indexed citations
10.
Städler, Michael, et al.. (2020). A Customised Finn Dinghy Rudder for Optimal Olympic Performance. SHILAP Revista de lepidopterología. 105–105. 1 indexed citations
11.
Abrahamsson, Thomas, et al.. (2020). Modelling Bending Stiffness and Vibration Characteristics to Enable Simulation-Driven Ski Design. SHILAP Revista de lepidopterología. 157–157. 3 indexed citations
12.
Mirkhalaf, Mohsen, et al.. (2019). Short fiber composites: Computational homogenization vs orientation averaging. Chalmers Research (Chalmers University of Technology). 7 indexed citations
13.
Fagerström, Martin, et al.. (2019). Efficient modelling of delamination growth using adaptive isogeometric continuum shell elements. Computational Mechanics. 65(1). 99–117. 9 indexed citations
14.
Larsson, Fredrik, et al.. (2017). Two-scale modeling of fracturing solids using a smeared macro-to-micro discontinuity transition. Computational Mechanics. 60(4). 627–641. 8 indexed citations
15.
Fagerström, Martin, et al.. (2017). Adaptive modelling of delamination initiation and propagation using an equivalent single‐layer shell approach. International Journal for Numerical Methods in Engineering. 112(8). 882–908. 15 indexed citations
16.
Fagerström, Martin & Joris J. C. Remmers. (2017). ADAPTIVE MODELLING OF DELAMINATION GROWTH USING ISOGEOMETRIC CONTINUUM SHELL ELEMENTS. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
17.
Fagerström, Martin, et al.. (2014). Modeling microcracks using weak periodic boundary conditions and xfem. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
18.
Fagerström, Martin, et al.. (2013). Modelling of multiple delaminations in shells using XFEM. Chalmers Publication Library (Chalmers University of Technology). 6 indexed citations
19.
Fagerström, Martin, et al.. (2012). Hypo- and hyper-inelasticity applied to modeling of compacted graphite iron machining simulations. European Journal of Mechanics - A/Solids. 37. 57–68. 15 indexed citations
20.
Larsson, Ragnar & Martin Fagerström. (2007). Approaches to dynamic fracture modelling at finite deformations. Chalmers Publication Library (Chalmers University of Technology). 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Steven Le Corre Breakdown of academic impact, for papers by Jaan‐Willem Simon Breakdown of academic impact, for papers by Jim Lua Breakdown of academic impact, for papers by Xiao Jing Xu Breakdown of academic impact, for papers by Zhouzhou Pan Breakdown of academic impact, for papers by Guojun Zheng Breakdown of academic impact, for papers by Dongwoo Sohn Breakdown of academic impact, for papers by Gaoming Dai Breakdown of academic impact, for papers by K. Derrien
Rankless by CCL
2026