Matteo Ravasi

1.5k total citations
109 papers, 1.0k citations indexed

About

Matteo Ravasi is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Matteo Ravasi has authored 109 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Geophysics, 58 papers in Ocean Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Matteo Ravasi's work include Seismic Imaging and Inversion Techniques (97 papers), Seismic Waves and Analysis (64 papers) and Geophysical Methods and Applications (27 papers). Matteo Ravasi is often cited by papers focused on Seismic Imaging and Inversion Techniques (97 papers), Seismic Waves and Analysis (64 papers) and Geophysical Methods and Applications (27 papers). Matteo Ravasi collaborates with scholars based in Saudi Arabia, United Kingdom and Norway. Matteo Ravasi's co-authors include Andrew Curtis, Ivan Vasconcelos, Carlos Alberto da Costa Filho, Giovanni Angelo Meles, Tariq Alkhalifah, Claire Birnie, Joost van der Neut, Filippo Broggini, David E. Keyes and Hatem Ltaief and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and The Journal of the Acoustical Society of America.

In The Last Decade

Matteo Ravasi

98 papers receiving 992 citations

Peers

Matteo Ravasi
Mauricio Araya‐Polo United States
Huub Douma United States
Leiv‐J. Gelius Norway
Dirk‐Jan van Manen Switzerland
Shan Qu Netherlands
Yufeng Wang China
S. Brandsberg‐Dahl United Kingdom
Ivan Vasconcelos Netherlands
Alison Malcolm United States
Liguo Han China
Mauricio Araya‐Polo United States
Matteo Ravasi
Citations per year, relative to Matteo Ravasi Matteo Ravasi (= 1×) peers Mauricio Araya‐Polo

Countries citing papers authored by Matteo Ravasi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Ravasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Ravasi

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Ravasi. A scholar is included among the top collaborators of Matteo Ravasi 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 Matteo Ravasi. Matteo Ravasi 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.
Ravasi, Matteo, et al.. (2024). Upside-down Rayleigh-Marchenko: A practical redatuming scheme for seabed seismic acquisitions. Geophysics. 89(6). V619–V634.
2.
Ravasi, Matteo, et al.. (2024). PyProximal - scalable convex optimization inPython. The Journal of Open Source Software. 9(95). 6326–6326. 1 indexed citations
3.
Saad, Omar M., Matteo Ravasi, & Tariq Alkhalifah. (2024). Noise attenuation in distributed acoustic sensing data using a guided unsupervised deep learning network. Geophysics. 89(6). V573–V587. 10 indexed citations
4.
Ravasi, Matteo, et al.. (2024). PINNslope: Seismic data interpolation and local slope estimation with physics informed neural networks. Geophysics. 89(4). V331–V345. 12 indexed citations
5.
Zhang, Wei, Matteo Ravasi, Jinghuai Gao, & Ying Shi. (2024). Deep-unrolling architecture for image-domain least-squares migration. Geophysics. 89(3). S215–S234. 10 indexed citations
6.
7.
Ravasi, Matteo, et al.. (2023). Seeing through the CO2 plume: Joint inversion-segmentation of the Sleipner 4D seismic data set. The Leading Edge. 42(7). 457–464. 4 indexed citations
8.
Ravasi, Matteo, et al.. (2023). Integrating self-supervised denoising in inversion-based seismic deblending. Geophysics. 89(1). WA39–WA51. 10 indexed citations
9.
Vasconcelos, Ivan, et al.. (2023). Image-domain seismic inversion by deblurring with invertible recurrent inference machines. Geophysics. 89(2). R121–R136. 2 indexed citations
10.
Ravasi, Matteo, et al.. (2023). Why projection over convex sets works and how to make it better. Geophysics. 89(1). A1–A5. 3 indexed citations
11.
Lipari, Vincenzo, et al.. (2022). Intelligent Seismic Deblending Through Deep Preconditioner. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
12.
Peter, Daniel, et al.. (2022). Cycle-skipping mitigation using misfit measurements based on differentiable dynamic time warping. Geophysics. 87(4). R325–R335. 7 indexed citations
13.
Vasconcelos, Ivan, et al.. (2021). Time-Domain Multidimensional Deconvolution: A Physically Reliable and Stable Preconditioned Implementation. Remote Sensing. 13(18). 3683–3683. 12 indexed citations
14.
Vasconcelos, Ivan, et al.. (2021). Scattering-based focusing for imaging in highly complex media from band-limited, multicomponent data. Geophysics. 86(5). WC141–WC157. 13 indexed citations
15.
16.
Zhang, Lele, Evert Slob, Yibo Wang, Matteo Ravasi, & C. Kostov. (2021). Advances in seismic multiple reflection processing — Introduction. Geophysics. 86(5). WCi–WCii. 1 indexed citations
17.
Filho, Carlos Alberto da Costa, Matteo Ravasi, & Andrew Curtis. (2015). Elastic P- and S-wave autofocus imaging with primaries and internal multiples. Geophysics. 80(5). S187–S202. 36 indexed citations
18.
Meles, Giovanni Angelo, et al.. (2014). Internal multiple prediction and removal using Marchenko autofocusing and seismic interferometry. Geophysics. 80(1). A7–A11. 66 indexed citations
19.
Ravasi, Matteo & Andrew Curtis. (2013). Elastic imaging with exact wavefield extrapolation for application to ocean-bottom 4C seismic data. Geophysics. 78(6). S265–S284. 51 indexed citations
20.
Ravasi, Matteo & Andrew Curtis. (2013). Nonlinear scattering based imaging in elastic media: Theory, theorems, and imaging conditions. Geophysics. 78(3). S137–S155. 30 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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