Gaetano De Luca
- Geophysics top 1%
- Seismic Waves and Analysis 23
- earthquake and tectonic studies 17
- Seismic Imaging and Inversion Techniques 10
- Earthquake Detection and Analysis 9
- High-pressure geophysics and materials 5
- Ocean Engineering top 5%
- Geophysics and Sensor Technology 6
- Artificial Intelligence top 5%
- Seismology and Earthquake Studies 7
- Earth-Surface Processes top 10%
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- Geophysics and Gravity Measurements 3
- Co-authors
- R. ScarpaGiuliano MilanaBernard ChouetPhillip DawsonMarcello MartiniGilberto SaccorottiTakao OhminatoFlora Giudicepietro
- Partner nations
- ItalyUnited StatesSlovakia
In The Last Decade
Gaetano De Luca
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 56
- Geophysics 1.3k
- Ocean Engineering 140
- Artificial Intelligence 268
- Radiological and Ultrasound Technology 39
- Earth-Surface Processes 50
Countries citing papers authored by Gaetano De Luca
This map shows the geographic impact of Gaetano De Luca'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 Gaetano De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaetano De Luca more than expected).
Fields of papers citing papers by Gaetano De Luca
This network shows the impact of papers produced by Gaetano De Luca. 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 Gaetano De Luca. The network helps show where Gaetano De Luca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaetano De Luca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 25 | |
| 6 | 2018 | 50 | |
| 7 | Love waves trains observed after the MW 8.1 Tehuantepec earthquake by an underground ring laser gyroscope | 2017 | 1 |
| 8 | 2016 | 9 | |
| 9 | 2016 | 16 | |
| 10 | 2009 | 35 | |
| 11 | 2009 | 14 | |
| 12 | 2003 | 85 | |
| 13 | 2003 | 340 | |
| 14 | Source Mechanism of Strombolian Explosions Determined From Moment Tensor Inversion of Very-long-period Data: Implications For Gas Transport Dynamics At Stromboli | 2002 | 1 |
| 15 | Source Mechanism of Strombolian Explosions Determined From Moment Tensor Inversion of Very-Long Period Data | 2001 | 2 |
| 16 | 2000 | 37 | |
| 17 | 1998 | 16 | |
| 18 | 1997 | 32 | |
| 19 | 1997 | 28 | |
| 20 | 1997 | 15 |
About Gaetano De Luca
Gaetano De Luca is a scholar working on Geophysics, Ocean Engineering and Radiological and Ultrasound Technology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Seismic Waves and Analysis (23 papers), earthquake and tectonic studies (17 papers), Seismic Imaging and Inversion Techniques (10 papers), Earthquake Detection and Analysis (9 papers), Seismology and Earthquake Studies (7 papers), Geophysics and Sensor Technology (6 papers), High-pressure geophysics and materials (5 papers) and Geophysics and Gravity Measurements (3 papers). The work is most often cited by research in Geophysics (1.3k citations), Ocean Engineering (140 citations) and Artificial Intelligence (268 citations). Gaetano De Luca has collaborated with scholars based in Italy, United States and Slovakia. Frequent co-authors include R. Scarpa, Giuliano Milana, Bernard Chouet, Phillip Dawson, Marcello Martini, Gilberto Saccorotti, Takao Ohminato, Flora Giudicepietro, Marco Tallini and Giuseppe Di Carlo.
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.