S. Marrone

6.3k total citations · 5 hit papers
61 papers, 5.2k citations indexed

About

S. Marrone is a scholar working on Computational Mechanics, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, S. Marrone has authored 61 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computational Mechanics, 6 papers in Ocean Engineering and 4 papers in Mechanics of Materials. Recurrent topics in S. Marrone's work include Fluid Dynamics Simulations and Interactions (57 papers), Fluid Dynamics and Heat Transfer (41 papers) and Lattice Boltzmann Simulation Studies (32 papers). S. Marrone is often cited by papers focused on Fluid Dynamics Simulations and Interactions (57 papers), Fluid Dynamics and Heat Transfer (41 papers) and Lattice Boltzmann Simulation Studies (32 papers). S. Marrone collaborates with scholars based in Italy, France and Spain. S. Marrone's co-authors include A. Colagrossi, M. Antuono, David Le Touzé, Peng-Nan Sun, A‐Man Zhang, G. Graziani, Benjamin Bouscasse, G. Colicchio, D. Molteni and Andrea Di Mascio and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.

In The Last Decade

S. Marrone

59 papers receiving 5.1k citations

Hit Papers

δ-SPH model for simulating violent impact flows 2009 2026 2014 2020 2011 2009 2012 2016 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Marrone Italy 34 5.1k 758 729 641 499 61 5.2k
David Le Touzé France 36 4.3k 0.8× 669 0.9× 756 1.0× 549 0.9× 594 1.2× 92 4.9k
M. Antuono Italy 31 4.3k 0.8× 616 0.8× 645 0.9× 568 0.9× 656 1.3× 70 4.7k
Abbas Khayyer Japan 41 5.6k 1.1× 1.1k 1.5× 786 1.1× 932 1.5× 763 1.5× 124 5.8k
Peng-Nan Sun China 29 3.1k 0.6× 551 0.7× 572 0.8× 372 0.6× 200 0.4× 91 3.3k
A. Colagrossi Italy 44 8.2k 1.6× 1.2k 1.5× 1.2k 1.6× 1.0k 1.6× 776 1.6× 106 8.5k
Songdong Shao United Kingdom 35 3.9k 0.8× 514 0.7× 479 0.7× 890 1.4× 962 1.9× 83 4.4k
Damien Violeau France 23 2.4k 0.5× 378 0.5× 221 0.3× 535 0.8× 245 0.5× 78 2.7k
G. Oger France 22 2.4k 0.5× 436 0.6× 329 0.5× 322 0.5× 91 0.2× 41 2.5k
Antonio Souto-Iglesias Spain 29 2.2k 0.4× 288 0.4× 848 1.2× 357 0.6× 255 0.5× 93 2.7k
Steven Lind United Kingdom 23 2.0k 0.4× 337 0.4× 215 0.3× 272 0.4× 207 0.4× 45 2.1k

Countries citing papers authored by S. Marrone

Since Specialization
Citations

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

Fields of papers citing papers by S. Marrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Marrone. A scholar is included among the top collaborators of S. Marrone 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. Marrone. S. Marrone 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.
Antuono, M., S. Marrone, & A. Colagrossi. (2025). Coalescing and break-up of viscous drops with surface tension through the Smoothed Particle Hydrodynamics. Computer Methods in Applied Mechanics and Engineering. 442. 118014–118014.
2.
Marrone, S., et al.. (2024). A study on the energy consistency in SPH surface tension modelling. Computer Methods in Applied Mechanics and Engineering. 433. 117473–117473. 3 indexed citations
3.
Antuono, M. & S. Marrone. (2024). Weakly Compressible Approximation of the Taylor–Green Vortex Solution. Studies in Applied Mathematics. 154(1). 1 indexed citations
4.
Colagrossi, A., et al.. (2023). A regularized high-order diffusive smoothed particle hydrodynamics scheme without tensile instability. Physics of Fluids. 35(10). 9 indexed citations
5.
Xu, Yang, et al.. (2023). Numerical study of the splashing wave induced by a seaplane using mesh-based and particle-based methods. Theoretical and Applied Mechanics Letters. 13(5). 100463–100463. 7 indexed citations
6.
Colagrossi, A., et al.. (2022). SPH method for long-time simulations of sloshing flows in LNG tanks. European Journal of Mechanics - B/Fluids. 93. 65–92. 22 indexed citations
7.
Durante, D., et al.. (2022). A novel multi-resolution technique for solving complex vorticity patterns in planar viscous flows past bodies through the DVH method. Computer Methods in Applied Mechanics and Engineering. 396. 115082–115082. 4 indexed citations
8.
Mastroddi, Franco, Arnaud G. Malan, Stephen Longshaw, et al.. (2022). Sloshing Wing Dynamics - 2nd Year Project Overview. AIAA SCITECH 2022 Forum. 3 indexed citations
10.
Marrone, S., et al.. (2020). Detailed study on the extension of the δ-SPH model to multi-phase flow. Computer Methods in Applied Mechanics and Engineering. 368. 113189–113189. 75 indexed citations
11.
Sun, Peng-Nan, A. Colagrossi, S. Marrone, M. Antuono, & A‐Man Zhang. (2019). A consistent approach to particle shifting in theδ-Plus-SPH model. Computer Methods in Applied Mechanics and Engineering. 348. 912–934. 151 indexed citations
12.
Diez, Matteo, et al.. (2019). A synergetic design study of a passenger-hydrofoil flapped surface: experimental and computational fluid dynamics, optimization, and control. UPCommons institutional repository (Universitat Politècnica de Catalunya). 334–345. 1 indexed citations
13.
Marrone, S., et al.. (2019). Extreme wave impacts on a wave energy converter: load prediction through a SPH model. Coastal Engineering Journal. 61(1). 63–77. 17 indexed citations
14.
Marrone, S., et al.. (2018). Coupled SPH–FV method with net vorticity and mass transfer. Journal of Computational Physics. 364. 111–136. 47 indexed citations
15.
Meringolo, Domenico D., S. Marrone, A. Colagrossi, & Yong Liu. (2018). A dynamic δ-SPH model: How to get rid of diffusive parameter tuning. Computers & Fluids. 179. 334–355. 71 indexed citations
16.
Marrone, S., A. Colagrossi, Andrea Di Mascio, & David Le Touzé. (2016). Analysis of free-surface flows through energy considerations: Single-phase versus two-phase modeling. Physical review. E. 93(5). 53113–53113. 34 indexed citations
17.
Colagrossi, A., Benjamin Bouscasse, & S. Marrone. (2015). Energy-decomposition analysis for viscous free-surface flows. Physical Review E. 92(5). 53003–53003. 21 indexed citations
18.
Colagrossi, A., Antonio Souto-Iglesias, M. Antuono, & S. Marrone. (2013). Smoothed-particle-hydrodynamics modeling of dissipation mechanisms in gravity waves. Physical Review E. 87(2). 23302–23302. 73 indexed citations
19.
Marrone, S., M. Antuono, A. Colagrossi, et al.. (2011). δ-SPH model for simulating violent impact flows. Computer Methods in Applied Mechanics and Engineering. 200(13-16). 1526–1542. 577 indexed citations breakdown →
20.
Federico, Iván, S. Marrone, A. Colagrossi, Pierangelo Veltri, & Francesco Aristodemo. (2010). Simulating free-surface channel flows through SPH. IRIS eCampus Telematic University (Università degli Studi eCampus). 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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