S. Lucarini

977 total citations
18 papers, 747 citations indexed

About

S. Lucarini is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, S. Lucarini has authored 18 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanics of Materials, 9 papers in Mechanical Engineering and 7 papers in Materials Chemistry. Recurrent topics in S. Lucarini's work include Composite Material Mechanics (4 papers), Fatigue and fracture mechanics (4 papers) and Numerical methods in engineering (4 papers). S. Lucarini is often cited by papers focused on Composite Material Mechanics (4 papers), Fatigue and fracture mechanics (4 papers) and Numerical methods in engineering (4 papers). S. Lucarini collaborates with scholars based in Spain, United Kingdom and United States. S. Lucarini's co-authors include Javier Segurado, Daniel Garcia‐Gonzalez, Javier LLorca, Mokarram Hossain, A. Cruzado, Manas Vijay Upadhyay, Emilio Martínez‐Pañeda, Fionn P.E. Dunne, Miguel Ángel Moreno and A. Árias and has published in prestigious journals such as Nature Communications, Journal of Computational Physics and Physical Chemistry Chemical Physics.

In The Last Decade

S. Lucarini

18 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Lucarini Spain 13 439 369 225 163 140 18 747
Mark Messner United States 13 574 1.3× 182 0.5× 176 0.8× 193 1.2× 131 0.9× 75 814
Liwei Wang China 12 335 0.8× 136 0.4× 255 1.1× 126 0.8× 257 1.8× 19 684
Keivan Torabi Iran 17 224 0.5× 453 1.2× 203 0.9× 163 1.0× 235 1.7× 59 810
Jörn Ihlemann Germany 17 412 0.9× 442 1.2× 205 0.9× 393 2.4× 80 0.6× 101 871
Bjöern Kiefer Germany 18 234 0.5× 338 0.9× 662 2.9× 159 1.0× 149 1.1× 87 1.1k
J. Nowacki Poland 16 669 1.5× 373 1.0× 302 1.3× 81 0.5× 63 0.5× 122 943
Bruno M. Chaparro Portugal 9 581 1.3× 395 1.1× 186 0.8× 78 0.5× 42 0.3× 23 767
Gunnar Possart Germany 15 233 0.5× 389 1.1× 153 0.7× 527 3.2× 202 1.4× 26 959
Werner Daves Austria 22 950 2.2× 779 2.1× 318 1.4× 66 0.4× 164 1.2× 65 1.2k
F. Dos Reis France 11 369 0.8× 273 0.7× 176 0.8× 184 1.1× 115 0.8× 14 619

Countries citing papers authored by S. Lucarini

Since Specialization
Citations

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

Fields of papers citing papers by S. Lucarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lucarini

This figure shows the co-authorship network connecting the top 25 collaborators of S. Lucarini. A scholar is included among the top collaborators of S. Lucarini 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 S. Lucarini. S. Lucarini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Lucarini, S., et al.. (2025). In-silico platform for the multifunctional design of 3D printed conductive components. Nature Communications. 16(1). 1359–1359. 1 indexed citations
2.
Lucarini, S., et al.. (2025). PF-PINNs: Physics-informed neural networks for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations. Journal of Computational Physics. 529. 113843–113843. 5 indexed citations
3.
Lucarini, S. & Emilio Martínez‐Pañeda. (2024). UMAT4COMSOL: An Abaqus user material (UMAT) subroutine wrapper for COMSOL. Advances in Engineering Software. 190. 103610–103610. 2 indexed citations
4.
Lucarini, S., et al.. (2023). Thermo-electro-mechanical microstructural interdependences in conductive thermoplastics. npj Computational Materials. 9(1). 9 indexed citations
5.
Lucarini, S., Fionn P.E. Dunne, & Emilio Martínez‐Pañeda. (2023). An FFT-based crystal plasticity phase-field model for micromechanical fatigue cracking based on the stored energy density. International Journal of Fatigue. 172. 107670–107670. 35 indexed citations
6.
Moreno, Miguel Ángel, María Luisa López-Donaire, S. Lucarini, et al.. (2022). Magneto-mechanical system to reproduce and quantify complex strain patterns in biological materials. Applied Materials Today. 27. 101437–101437. 47 indexed citations
7.
Lucarini, S., Miguel Ángel Moreno, Kostas Danas, & Daniel Garcia‐Gonzalez. (2022). Insights into the viscohyperelastic response of soft magnetorheological elastomers: Competition of macrostructural versus microstructural players. International Journal of Solids and Structures. 256. 111981–111981. 28 indexed citations
8.
Lucarini, S., et al.. (2022). Effect of printing direction and thickness on the mechanical behavior of SLM fabricated Hastelloy-X. International Journal of Plasticity. 153. 103250–103250. 39 indexed citations
9.
Lucarini, S., Manas Vijay Upadhyay, & Javier Segurado. (2021). FFT based approaches in micromechanics: fundamentals, methods and applications. Modelling and Simulation in Materials Science and Engineering. 30(2). 23002–23002. 80 indexed citations
10.
Lucarini, S., et al.. (2021). Adaptation and validation of FFT methods for homogenization of lattice based materials. arXiv (Cornell University). 31 indexed citations
11.
Lucarini, S., et al.. (2021). An FFT framework for simulating non-local ductile failure in heterogeneous materials. Computer Methods in Applied Mechanics and Engineering. 380. 113759–113759. 26 indexed citations
12.
Lucarini, S., Mokarram Hossain, & Daniel Garcia‐Gonzalez. (2021). Recent advances in hard-magnetic soft composites: Synthesis, characterisation, computational modelling, and applications. Composite Structures. 279. 114800–114800. 149 indexed citations
13.
Lucarini, S. & Javier Segurado. (2019). DBFFT: A displacement based FFT approach for non-linear homogenization of the mechanical behavior. International Journal of Engineering Science. 144. 103131–103131. 42 indexed citations
14.
Lucarini, S. & Javier Segurado. (2019). An upscaling approach for micromechanics based fatigue: from RVEs to specimens and component life prediction. International Journal of Fracture. 223(1-2). 93–108. 23 indexed citations
15.
Lucarini, S., et al.. (2019). Simulation of the Hall-Petch effect in FCC polycrystals by means of strain gradient crystal plasticity and FFT homogenization. Journal of the Mechanics and Physics of Solids. 134. 103755–103755. 70 indexed citations
16.
Esteban-Manzanares, G., S. Lucarini, Sofı́a Calero, et al.. (2018). Fitting electron density as a physically sound basis for the development of interatomic potentials of complex alloys. Physical Chemistry Chemical Physics. 20(27). 18647–18656. 2 indexed citations
17.
Cruzado, A., S. Lucarini, Javier LLorca, & Javier Segurado. (2018). Crystal plasticity simulation of the effect of grain size on the fatigue behavior of polycrystalline Inconel 718. International Journal of Fatigue. 113. 236–245. 72 indexed citations
18.
Cruzado, A., S. Lucarini, Javier LLorca, & Javier Segurado. (2017). Microstructure-based fatigue life model of metallic alloys with bilinear Coffin-Manson behavior. International Journal of Fatigue. 107. 40–48. 86 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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