Lasse Laurson

2.5k total citations
84 papers, 1.8k citations indexed

About

Lasse Laurson is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, Lasse Laurson has authored 84 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Atomic and Molecular Physics, and Optics, 41 papers in Condensed Matter Physics and 35 papers in Materials Chemistry. Recurrent topics in Lasse Laurson's work include Theoretical and Computational Physics (36 papers), Magnetic properties of thin films (29 papers) and Magnetic Properties and Applications (19 papers). Lasse Laurson is often cited by papers focused on Theoretical and Computational Physics (36 papers), Magnetic properties of thin films (29 papers) and Magnetic Properties and Applications (19 papers). Lasse Laurson collaborates with scholars based in Finland, Italy and Belgium. Lasse Laurson's co-authors include Mikko J. Alava, Stefano Zapperi, Stéphane Santucci, Sanja Janićević, Gianfranco Durin, Djordje Spasojević, Markus Ovaska, Ben Van de Wiele, Xavi Illa and Knut Jørgen Måløy and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lasse Laurson

82 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lasse Laurson Finland 24 697 529 520 333 248 84 1.8k
E. A. Jagla Argentina 22 689 1.0× 596 1.1× 428 0.8× 177 0.5× 211 0.9× 69 1.6k
Stefanos Papanikolaou United States 23 776 1.1× 336 0.6× 373 0.7× 442 1.3× 85 0.3× 89 1.7k
Matthias Sperl Germany 29 1.5k 2.1× 496 0.9× 573 1.1× 226 0.7× 309 1.2× 107 2.9k
Damien Vandembroucq France 26 1.2k 1.8× 593 1.1× 227 0.4× 706 2.1× 87 0.4× 77 2.3k
Hua Tong China 22 914 1.3× 708 1.3× 326 0.6× 157 0.5× 232 0.9× 60 1.6k
Stephen R. Williams Australia 22 1.9k 2.7× 566 1.1× 420 0.8× 295 0.9× 233 0.9× 57 2.8k
T. P. A. Hase United Kingdom 22 553 0.8× 423 0.8× 968 1.9× 172 0.5× 596 2.4× 113 1.8k
Anne Tanguy France 25 1.8k 2.5× 597 1.1× 236 0.5× 924 2.8× 146 0.6× 66 2.7k
Stephen A. Langer United States 27 1.4k 2.1× 551 1.0× 573 1.1× 577 1.7× 261 1.1× 51 3.2k
Daniel Bonamy France 26 725 1.0× 436 0.8× 232 0.4× 303 0.9× 50 0.2× 64 2.1k

Countries citing papers authored by Lasse Laurson

Since Specialization
Citations

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

Fields of papers citing papers by Lasse Laurson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lasse Laurson

This figure shows the co-authorship network connecting the top 25 collaborators of Lasse Laurson. A scholar is included among the top collaborators of Lasse Laurson 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 Lasse Laurson. Lasse Laurson 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.
Spasojević, Djordje, et al.. (2024). Barkhausen noise in disordered striplike ferromagnets: Experiment versus simulations. Physical review. E. 109(2). 24110–24110. 5 indexed citations
2.
Laurson, Lasse, et al.. (2024). On identifying dynamic length scales in crystal plasticity. Acta Materialia. 283. 120506–120506. 3 indexed citations
3.
Laurson, Lasse, et al.. (2024). Bayesian optimization of 7-component (AlVCrFeCoNiMo) single crystal alloy’s compositional space to optimize elasto-plastic properties from molecular dynamics simulations. Modelling and Simulation in Materials Science and Engineering. 32(8). 85013–85013. 3 indexed citations
4.
Laurson, Lasse, et al.. (2023). Avalanches and rate effects in strain-controlled discrete dislocation plasticity of Al single crystals. Physical Review Materials. 7(1). 5 indexed citations
5.
Laurson, Lasse, et al.. (2023). Coupled 2-D FEM and 1-D Micromagnetic Model for Transverse Anisotropy Tape-Wound Magnetic Cores. IEEE Transactions on Magnetics. 59(5). 1–4.
6.
Laurson, Lasse, et al.. (2022). Machine learning reveals strain-rate-dependent predictability of discrete dislocation plasticity. Physical Review Materials. 6(2). 5 indexed citations
7.
Räsänen, E., et al.. (2022). Asymmetric Roughness of Elastic Interfaces at the Depinning Threshold. Physical Review Letters. 129(17). 175701–175701. 4 indexed citations
8.
Laurson, Lasse, et al.. (2021). Dislocation avalanches from strain-controlled loading: A discrete dislocation dynamics study. Physical review. E. 104(2). 25008–25008. 7 indexed citations
9.
Janićević, Sanja, et al.. (2021). Effects of external noise on threshold-induced correlations in ferromagnetic systems. Physical review. E. 103(6). 62114–62114. 4 indexed citations
10.
Skaugen, Audun, et al.. (2019). Analytical computation of the demagnetizing energy of thin-film domain walls. Physical review. B.. 100(9). 15 indexed citations
11.
Santucci, Stéphane, Ken Tore Tallakstad, Luiza Angheluta, et al.. (2018). Avalanches and extreme value statistics in interfacial crackling dynamics. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 377(2136). 20170394–20170394. 6 indexed citations
12.
Janićević, Sanja, et al.. (2018). Threshold-induced correlations in the Random Field Ising Model. Scientific Reports. 8(1). 2571–2571. 120 indexed citations
13.
Laurson, Lasse, et al.. (2018). Effects of precipitates and dislocation loops on the yield stress of irradiated iron. Scientific Reports. 8(1). 6914–6914. 50 indexed citations
14.
Ovaska, Markus, et al.. (2017). Excitation Spectra in Crystal Plasticity. Physical Review Letters. 119(26). 265501–265501. 13 indexed citations
15.
Janićević, Sanja, Lasse Laurson, Knut Jørgen Måløy, Stéphane Santucci, & Mikko J. Alava. (2016). Interevent Correlations from Avalanches Hiding Below the Detection Threshold. Physical Review Letters. 117(23). 230601–230601. 42 indexed citations
16.
Laurson, Lasse, et al.. (2015). Head-to-head domain wall structures in wide permalloy strips. Physical Review B. 91(5). 32 indexed citations
17.
Foster, Adam S., et al.. (2014). Boundary lubrication with a liquid crystal monolayer. Physical Review E. 90(1). 12404–12404. 17 indexed citations
18.
Laurson, Lasse, Xavi Illa, Stéphane Santucci, et al.. (2013). Evolution of the average avalanche shape with the universality class. Nature Communications. 4(1). 2927–2927. 101 indexed citations
19.
Laurson, Lasse & Mikko J. Alava. (2012). Dynamic Hysteresis in Cyclic Deformation of Crystalline Solids. Physical Review Letters. 109(15). 155504–155504. 17 indexed citations
20.
Rost, M., Lasse Laurson, Martin Dubé, & Mikko J. Alava. (2007). Fluctuations in Fluid Invasion into Disordered Media. Physical Review Letters. 98(5). 54502–54502. 45 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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