Massimo Raveggi

25 papers and 703 indexed citations i.

About

Massimo Raveggi is a scholar working on Geophysics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Massimo Raveggi has authored 25 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Geophysics, 10 papers in Artificial Intelligence and 4 papers in Materials Chemistry. Recurrent topics in Massimo Raveggi’s work include Geological and Geochemical Analysis (18 papers), earthquake and tectonic studies (15 papers) and Geochemistry and Geologic Mapping (10 papers). Massimo Raveggi is often cited by papers focused on Geological and Geochemical Analysis (18 papers), earthquake and tectonic studies (15 papers) and Geochemistry and Geologic Mapping (10 papers). Massimo Raveggi collaborates with scholars based in Australia, China and Brazil. Massimo Raveggi's co-authors include Ian Cartwright, Matthew Currell, Dongmei Han, Roland Maas, Peter A. Cawood, R. A. F., Jozua van Otterloo, Marküs Wälle, Marcel Guillong and Andrew G. Tomkins and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Journal of The Electrochemical Society and Earth and Planetary Science Letters.

In The Last Decade

Co-authorship network of co-authors of Massimo Raveggi i

Fields of papers citing papers by Massimo Raveggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Raveggi

Since Specialization
Citations

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