Matteo Ravasi
- Geophysics top 2%
- Ocean Engineering top 1%
- Mechanical Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Andrew CurtisIvan VasconcelosCarlos Alberto da Costa FilhoGiovanni Angelo MelesTariq AlkhalifahClaire BirnieJoost van der NeutFilippo Broggini
- Topics
- Seismic Imaging and Inversion Techniques (97 papers)Seismic Waves and Analysis (64 papers)Geophysical Methods and Applications (27 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingThe Journal of the Acoustical Society of America
- Partner nations
- Saudi ArabiaUnited KingdomNorway
In The Last Decade
Matteo Ravasi
98 papers receiving 992 citations
Peers
Comparison fields: 5 of 55
- Geophysics 879
- Ocean Engineering 571
- Mechanical Engineering 155
- Artificial Intelligence 130
- Computer Vision and Pattern Recognition 78
Countries citing papers authored by Matteo Ravasi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 13 | |
| 15 | 26 | |
| 16 | 1 | |
| 17 | 36 | |
| 18 | 66 | |
| 19 | 51 | |
| 20 | 30 |
About Matteo Ravasi
Matteo Ravasi is a scholar working on Geophysics, Ocean Engineering and Computer Vision and Pattern Recognition, having authored 109 papers that have together received 1.0k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (97 papers), Seismic Waves and Analysis (64 papers) and Geophysical Methods and Applications (27 papers). The work is most often cited by research in Geophysics (879 citations), Ocean Engineering (571 citations) and Acoustics and Ultrasonics (5 citations). Matteo Ravasi has collaborated with scholars based in Saudi Arabia, United Kingdom and Norway. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and The Journal of the Acoustical Society of America.
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.