Massimo D’Antonio

107 papers and 4.3k indexed citations i.

About

Massimo D’Antonio is a scholar working on Geophysics, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Massimo D’Antonio has authored 107 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Geophysics, 30 papers in Atmospheric Science and 12 papers in Artificial Intelligence. Recurrent topics in Massimo D’Antonio’s work include Geological and Geochemical Analysis (95 papers), earthquake and tectonic studies (76 papers) and High-pressure geophysics and materials (45 papers). Massimo D’Antonio is often cited by papers focused on Geological and Geochemical Analysis (95 papers), earthquake and tectonic studies (76 papers) and High-pressure geophysics and materials (45 papers). Massimo D’Antonio collaborates with scholars based in Italy, United States and United Kingdom. Massimo D’Antonio's co-authors include L. Civetta, G. Orsi, Mauro Antonio Di Vito, Sandro de Vita, Roberto Isaia, Monica Piochi, Giovanni Orsi, Ivan P. Savov, Jeffrey G. Ryan and Ilenia Arienzo and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geochimica et Cosmochimica Acta and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Massimo D’Antonio i

Fields of papers citing papers by Massimo D’Antonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo D’Antonio. 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 Massimo D’Antonio. The network helps show where Massimo D’Antonio may publish in the future.

Countries citing papers authored by Massimo D’Antonio

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025