Matteo Quintiliani
- Geophysics top 10%
- Artificial Intelligence
- Civil and Structural Engineering
- Ocean Engineering
- Aerospace Engineering
- Co-authors
- Laura ScognamiglioStefano PintoreElisa TintiValentino LaucianiAlfonso Giovanni MandielloAndrea BonoCarlo MarcocciSalvatore Mazza
- Topics
- Seismology and Earthquake Studies (12 papers)earthquake and tectonic studies (8 papers)Earthquake Detection and Analysis (5 papers)
- Journals
- Computers & GeosciencesInternational Journal of Applied Earth Observation and GeoinformationSeismological Research Letters
- Partner nations
- Italy
In The Last Decade
Matteo Quintiliani
16 papers receiving 233 citations
Peers
Comparison fields: 5 of 41
- Geophysics 205
- Artificial Intelligence 83
- Civil and Structural Engineering 28
- Ocean Engineering 11
- Aerospace Engineering 9
Countries citing papers authored by Matteo Quintiliani
This map shows the geographic impact of Matteo Quintiliani'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 Quintiliani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Quintiliani more than expected).
Fields of papers citing papers by Matteo Quintiliani
This network shows the impact of papers produced by Matteo Quintiliani. 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 Quintiliani. The network helps show where Matteo Quintiliani may publish in the future.
Co-authorship network of co-authors of Matteo Quintiliani
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Quintiliani. A scholar is included among the top collaborators of Matteo Quintiliani 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 Quintiliani. Matteo Quintiliani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | High quality comprehensive earthquake catalog of the Amatrice-Visso-Norcia seismic sequence (central Italy, Italian seismic Bulletin 2016-2018) | 1 |
| 7 | 40 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 75 | |
| 12 | 18 | |
| 13 | Tuning an Earthworm phase picker: some considerations on the pick_ew parameters | 7 |
| 14 | A new System for Earthquake Detection and Source Parameters Determination in Italy | 1 |
| 15 | TESEO2: Turn the Eldest Seismograms into the Electronic Original Ones | 1 |
| 16 | 40 |
About Matteo Quintiliani
Matteo Quintiliani is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology, having authored 16 papers that have together received 240 indexed citations. Recurring topics across this work include Seismology and Earthquake Studies (12 papers), earthquake and tectonic studies (8 papers) and Earthquake Detection and Analysis (5 papers). The work is most often cited by research in Geophysics (205 citations), Artificial Intelligence (83 citations) and Space and Planetary Science (2 citations). Matteo Quintiliani has collaborated with scholars based in Italy. Frequent co-authors include Laura Scognamiglio, Stefano Pintore, Elisa Tinti, Valentino Lauciani, Alfonso Giovanni Mandiello, Andrea Bono, Carlo Marcocci, Salvatore Mazza, F. Mele and Lucia Margheriti. Their work appears in journals such as Computers & Geosciences, International Journal of Applied Earth Observation and Geoinformation and Seismological Research Letters.
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.