M. Barbieri

28 papers and 1.0k indexed citations i.

About

M. Barbieri is a scholar working on Geophysics, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, M. Barbieri has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Geophysics, 13 papers in Atmospheric Science and 10 papers in Artificial Intelligence. Recurrent topics in M. Barbieri’s work include Geological and Geochemical Analysis (19 papers), Geology and Paleoclimatology Research (12 papers) and earthquake and tectonic studies (11 papers). M. Barbieri is often cited by papers focused on Geological and Geochemical Analysis (19 papers), Geology and Paleoclimatology Research (12 papers) and earthquake and tectonic studies (11 papers). M. Barbieri collaborates with scholars based in Italy, Canada and Spain. M. Barbieri's co-authors include Angelο Peccerillo, Marino Domenico Barberio, Dereje Ayalew, Tairan Wu, Gezahegn Yirgu, L. Tolomeo, Umberto Masi, Luigi Beccaluva, Leone Melluso and Francesca Castorina and has published in prestigious journals such as Chemical Geology, Contributions to Mineralogy and Petrology and Journal of Petrology.

In The Last Decade

Co-authorship network of co-authors of M. Barbieri i

Fields of papers citing papers by M. Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Barbieri

Since Specialization
Citations

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