L. Morbidelli

26 papers and 873 indexed citations i.

About

L. Morbidelli is a scholar working on Geophysics, Artificial Intelligence and Paleontology. According to data from OpenAlex, L. Morbidelli has authored 26 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Geophysics, 17 papers in Artificial Intelligence and 7 papers in Paleontology. Recurrent topics in L. Morbidelli’s work include Geological and Geochemical Analysis (22 papers), Geochemistry and Geologic Mapping (17 papers) and earthquake and tectonic studies (7 papers). L. Morbidelli is often cited by papers focused on Geological and Geochemical Analysis (22 papers), Geochemistry and Geologic Mapping (17 papers) and earthquake and tectonic studies (7 papers). L. Morbidelli collaborates with scholars based in Italy, Brazil and India. L. Morbidelli's co-authors include Celso B. Gomes, P. Brotzu, Excelso Ruberti, G. Traversa, Leone Melluso, Luigi Beccaluva, Vincenzo Morra, Aida Maria Conte, Carlo Garbarino and E. M. Piccirillo and has published in prestigious journals such as Earth-Science Reviews, Tectonophysics and Journal of Petrology.

In The Last Decade

Co-authorship network of co-authors of L. Morbidelli i

Fields of papers citing papers by L. Morbidelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Morbidelli. 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 L. Morbidelli. The network helps show where L. Morbidelli may publish in the future.

Countries citing papers authored by L. Morbidelli

Since Specialization
Citations

This map shows the geographic impact of L. Morbidelli'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 L. Morbidelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Morbidelli more than expected).

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.

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2025