M. Lancieri
Impact in
- Geophysics top 2%
- Seismic Waves and Analysis
- earthquake and tectonic studies
- Earthquake Detection and Analysis
- High-pressure geophysics and materials
- Geological and Geochemical Analysis
- Artificial Intelligence top 1%
- Seismology and Earthquake Studies
Papers in
- Geophysics 20
- earthquake and tectonic studies 16
- Seismic Waves and Analysis 10
- Earthquake Detection and Analysis 9
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- Seismology and Earthquake Studies 14
- Co-authors
- Aldo Zollo (13 shared papers)S. B. Nielsen (2 shared papers)Gaetano Festa (4 shared papers)Claudio Satriano (3 shared papers)G. Iannaccone (3 shared papers)Claudio Martino (3 shared papers)Yih‐Min Wu (2 shared papers)Ortensia Amoroso (2 shared papers)
In The Last Decade
M. Lancieri
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Geophysics 978
- Artificial Intelligence 851
- Civil and Structural Engineering 122
- Ocean Engineering 54
- Management, Monitoring, Policy and Law 19
Countries citing papers authored by M. Lancieri
This map shows the geographic impact of M. Lancieri'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 M. Lancieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lancieri more than expected).
Fields of papers citing papers by M. Lancieri
This network shows the impact of papers produced by M. Lancieri. 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 M. Lancieri. The network helps show where M. Lancieri may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Lancieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 189 | |
| 2 | 2010 | 169 | |
| 3 | 2010 | 154 | |
| 4 | 2009 | 149 | |
| 5 | 2008 | 80 | |
| 6 | 2008 | 63 | |
| 7 | 2009 | 54 | |
| 8 | 2012 | 39 | |
| 9 | 2013 | 31 | |
| 10 | 2012 | 30 | |
| 11 | 2007 | 28 | |
| 12 | 2011 | 26 | |
| 13 | 1979 | 13 | |
| 14 | 2011 | 12 | |
| 15 | 1980 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2022 | 8 | |
| 18 | 2009 | 8 | |
| 19 | 1986 | 8 | |
| 20 | 2017 | 7 |
About M. Lancieri
M. Lancieri is a scholar working on Geophysics, Artificial Intelligence, Civil and Structural Engineering, Molecular Biology and Ocean Engineering, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include earthquake and tectonic studies (16 papers), Seismology and Earthquake Studies (14 papers), Seismic Waves and Analysis (10 papers), Earthquake Detection and Analysis (9 papers), Seismic Performance and Analysis (7 papers), Structural Health Monitoring Techniques (5 papers), Structural Engineering and Vibration Analysis (3 papers) and Masonry and Concrete Structural Analysis (3 papers). The work is most often cited by research in Geophysics (978 citations), Artificial Intelligence (851 citations), Civil and Structural Engineering (122 citations), Ocean Engineering (54 citations) and Management, Monitoring, Policy and Law (19 citations). M. Lancieri has collaborated with scholars based in Italy, France and Burundi. Frequent co-authors include Aldo Zollo, S. B. Nielsen, Gaetano Festa, Claudio Satriano, G. Iannaccone, Claudio Martino, Yih‐Min Wu, Ortensia Amoroso, Hiroo Kanamori and Luca Elia. Their work appears in journals such as Geophysical Research Letters, Geophysical Journal International, Bulletin of the Seismological Society of America, Soil Dynamics and Earthquake Engineering and Bulletin of Earthquake Engineering.
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.