M.A. Laurenzi
- Geophysics top 2%
- Atmospheric Science top 5%
- Paleontology top 5%
- Earth-Surface Processes top 5%
- Artificial Intelligence top 10%
- Co-authors
- Sandro ConticelliClaudia PrincipeDavide CastradoriG. BigazziRaffaello CioniAlessandro SbranaIgor M. VillaSimone Tommasini
- Topics
- Geological and Geochemical Analysis (30 papers)Geology and Paleoclimatology Research (21 papers)earthquake and tectonic studies (16 papers)
In The Last Decade
M.A. Laurenzi
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 64
- Geophysics 827
- Atmospheric Science 463
- Paleontology 160
- Earth-Surface Processes 148
- Artificial Intelligence 102
Countries citing papers authored by M.A. Laurenzi
This map shows the geographic impact of M.A. Laurenzi'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.A. Laurenzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Laurenzi more than expected).
Fields of papers citing papers by M.A. Laurenzi
This network shows the impact of papers produced by M.A. Laurenzi. 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.A. Laurenzi. The network helps show where M.A. Laurenzi may publish in the future.
Co-authorship network of co-authors of M.A. Laurenzi
This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Laurenzi. A scholar is included among the top collaborators of M.A. Laurenzi 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 M.A. Laurenzi. M.A. Laurenzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | Genesis and evolution of the Late Mesozoic magmatism of the High Atlas (Morocco) | 1 |
| 4 | 32 | |
| 5 | 10 | |
| 6 | 21 | |
| 7 | 62 | |
| 8 | 53 | |
| 9 | Fission-Track dating of Macusanite glasses using natural uranium and thorium thin films neutron dosimetry. | 1 |
| 10 | 40Ar/39Ar Chronology of Central Europe Tektites (Moldavites) | 1 |
| 11 | 25 | |
| 12 | 152 | |
| 13 | Biostratigraphical correlation and geochronology of volcaniclastic horizons across the Tortonian/Messinian boundary in the Apennine foreland basin system | 2 |
| 14 | 36 | |
| 15 | New geochronological data on igneous rocks and evaporites of the Pietre Nere Point (Gargano Peninsula, southern Italy) | 28 |
| 16 | 10 | |
| 17 | 4 | |
| 18 | Retention of K-Ar ages by meteorite fusion crust and an attempt to date Antarctic dust | 1 |
| 19 | 40 | |
| 20 | 1 |
About M.A. Laurenzi
M.A. Laurenzi is a scholar working on Geophysics, Atmospheric Science and Paleontology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (30 papers), Geology and Paleoclimatology Research (21 papers) and earthquake and tectonic studies (16 papers). The work is most often cited by research in Geophysics (827 citations), Atmospheric Science (463 citations) and Paleontology (160 citations). M.A. Laurenzi has collaborated with scholars based in Italy, Brazil and Argentina. Frequent co-authors include Sandro Conticelli, Claudia Principe, Davide Castradori, G. Bigazzi, Raffaello Cioni, Alessandro Sbrana, Igor M. Villa, Simone Tommasini, Elena Boari and G. Buonasorte. Their work appears in journals such as Earth and Planetary Science Letters, Geology and Chemical Geology.
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.