Filippo Masi

1.1k total citations · 1 hit paper
27 papers, 615 citations indexed

About

Filippo Masi is a scholar working on Civil and Structural Engineering, Oceanography and Materials Chemistry. According to data from OpenAlex, Filippo Masi has authored 27 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Civil and Structural Engineering, 6 papers in Oceanography and 5 papers in Materials Chemistry. Recurrent topics in Filippo Masi's work include Structural Response to Dynamic Loads (8 papers), Marine and coastal plant biology (6 papers) and High-Velocity Impact and Material Behavior (5 papers). Filippo Masi is often cited by papers focused on Structural Response to Dynamic Loads (8 papers), Marine and coastal plant biology (6 papers) and High-Velocity Impact and Material Behavior (5 papers). Filippo Masi collaborates with scholars based in France, Italy and Australia. Filippo Masi's co-authors include Ioannis Stefanou, Paolo Vannucci, Victor Maffi-Berthier, Gaetano M. Gargiulo, Giuseppa Genovese, Gianluca Tripodi, Itai Einav, Marina Morabito, Paolo Maria Mariano and D. Colognesi and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids and Engineering Structures.

In The Last Decade

Filippo Masi

24 papers receiving 577 citations

Hit Papers

Thermodynamics-based Artificial Neural Networks for const... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Thermodynamics-based Artificial Neural Networks for constitutive modeling
    2020 239 citations Filippo Masi, Ioannis Stefanou et al. Journal of the Mechanics and Physics of Solids profile →

Peers

Filippo Masi
Ding Chen China
Xiongbin Liu China
Juan C. Heinrich United States
Dominique Clorennec France
Mahesh Bandi United States
Guillermo H. Goldsztein United States
Wenliang Gao China
Xingxing Liu China
Ding Chen China
Filippo Masi
Citations per year, relative to Filippo Masi Filippo Masi (= 1×) peers Ding Chen

Countries citing papers authored by Filippo Masi

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Masi

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Masi. A scholar is included among the top collaborators of Filippo Masi 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 Filippo Masi. Filippo Masi 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.
Masi, Filippo & Itai Einav. (2025). Hydrodynamics of Fault Gouges From Constitutive Modelling to the Physics of Friction. Journal of Geophysical Research Solid Earth. 130(7).
2.
Masi, Filippo, et al.. (2025). Measurement, self-similarity, and TNT equivalence of blasts from exploding wires. Shock Waves. 35(1). 17–35.
3.
Masi, Filippo, et al.. (2025). miniBLAST: A Novel Experimental Setup for Laboratory Testing of Structures Under Blast Loads. Experimental Techniques. 49(4). 655–675. 1 indexed citations
4.
Masi, Filippo & Itai Einav. (2023). Neural integration for constitutive equations using small data. Computer Methods in Applied Mechanics and Engineering. 420. 116698–116698. 14 indexed citations
5.
Masi, Filippo & Ioannis Stefanou. (2023). Evolution TANN and the identification of internal variables and evolution equations in solid mechanics. Journal of the Mechanics and Physics of Solids. 174. 105245–105245. 36 indexed citations
6.
Masi, Filippo & Ioannis Stefanou. (2022). Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN). Computer Methods in Applied Mechanics and Engineering. 398. 115190–115190. 100 indexed citations
7.
Zanetti, Matteo, Filippo Masi, Svemir Rudić, et al.. (2020). Crystal Analyzers for Indirect-Geometry Broadband Neutron Spectrometers: Adding Reality to Idealized Design. Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques. 14(S1). S242–S250. 3 indexed citations
8.
Masi, Filippo, Ioannis Stefanou, Paolo Vannucci, & Victor Maffi-Berthier. (2020). Resistance of museum artefacts against blast loading. Journal of Cultural Heritage. 44. 163–173. 4 indexed citations
9.
Masi, Filippo, Ioannis Stefanou, Paolo Vannucci, & Victor Maffi-Berthier. (2019). A Discrete Element Method approach for the preservation of the architectural heritage against explosions. SPIRE - Sciences Po Institutional REpository.
10.
Masi, Filippo, Ioannis Stefanou, Paolo Vannucci, & Victor Maffi-Berthier. (2019). ROCKING RESPONSE AND OVERTURNING OF MUSEUM ARTEFACTS DUE TO BLAST LOADING. Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2015). 2906–2919. 1 indexed citations
11.
Vannucci, Paolo, Filippo Masi, & Ioannis Stefanou. (2019). A nonlinear approach to the wind strength of Gothic Cathedrals: The case of Notre Dame of Paris. Engineering Structures. 183. 860–873. 9 indexed citations
12.
Masi, Filippo, Ioannis Stefanou, & Paolo Vannucci. (2018). On the origin of the cracks in the dome of the Pantheon in Rome. Engineering Failure Analysis. 92. 587–596. 9 indexed citations
13.
Masi, Filippo, Ioannis Stefanou, & Paolo Vannucci. (2018). A study on the effects of an explosion in the Pantheon of Rome. Engineering Structures. 164. 259–273. 14 indexed citations
14.
Vannucci, Paolo, Filippo Masi, & Ioannis Stefanou. (2017). A study on the simulation of blast actions on a monument structure. 12 indexed citations
15.
Gargiulo, Gaetano M., Marina Morabito, Giuseppa Genovese, & Filippo Masi. (2006). Molecular Systematics and Phylogenetics of Gracilariacean Species from the Mediterranean Sea. Journal of Applied Phycology. 18(3-5). 497–504. 22 indexed citations
16.
17.
Gargiulo, Gaetano M., et al.. (1998). Karyotype analysis of marine and freshwater populations of Bangia (Bangiales, Rhodophyta) in Italy. Phycologia. 37(6). 405–411. 10 indexed citations
18.
19.
Gargiulo, Gaetano M., Filippo Masi, & Giuseppa Genovese. (1992). Environmental factors affecting formation and release of conchospores in a Mediterranean species of Porphyra (Rhodophyta, Bangiales) in culture. Giornale botanico italiano. 126(6). 743–745. 10 indexed citations
20.
Tripodi, Gianluca & Filippo Masi. (1983). Unusual structures in the spermatial vesicles of the red algaErythrocystis montagnei. Plant Systematics and Evolution. 143(3). 197–206. 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.

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