Massimo Raveggi

43 total papers · 919 total citations
27 papers, 755 citations indexed

About

Massimo Raveggi is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Massimo Raveggi has authored 27 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Geophysics, 11 papers in Artificial Intelligence and 4 papers in Geochemistry and Petrology. Recurrent topics in Massimo Raveggi's work include Geological and Geochemical Analysis (20 papers), earthquake and tectonic studies (16 papers) and Geochemistry and Geologic Mapping (11 papers). Massimo Raveggi is often cited by papers focused on Geological and Geochemical Analysis (20 papers), earthquake and tectonic studies (16 papers) and Geochemistry and Geologic Mapping (11 papers). Massimo Raveggi collaborates with scholars based in Australia, China and United States. Massimo Raveggi's co-authors include Ian Cartwright, Matthew Currell, Dongmei Han, Roland Maas, Peter A. Cawood, R. A. F., Jozua van Otterloo, Xiaoping Xia, Manoj K. Pandit and Marcel Guillong 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

Massimo Raveggi

25 papers receiving 742 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Massimo Raveggi	387	231	204	147	118	27	755
Devon Renock	283 0.7×	211 0.9×	300 1.5×	68 0.5×	192 1.6×	21	874
Martin Wells	180 0.5×	164 0.7×	142 0.7×	105 0.7×	120 1.0×	28	636
Ralf E. Krupp	319 0.8×	142 0.6×	248 1.2×	38 0.3×	129 1.1×	22	807
Franziska Wilke	456 1.2×	192 0.8×	134 0.7×	106 0.7×	63 0.5×	57	891
Jean-Claude Touray	210 0.5×	118 0.5×	154 0.8×	54 0.4×	111 0.9×	52	696
Isidoro Bernardo Abel Schalamuk	374 1.0×	102 0.4×	262 1.3×	71 0.5×	157 1.3×	47	684
Fereydoun Ghazban	367 0.9×	158 0.7×	277 1.4×	128 0.9×	40 0.3×	34	864
Giuseppe Tanelli	255 0.7×	170 0.7×	145 0.7×	33 0.2×	189 1.6×	46	683
Dongbok Shin	348 0.9×	121 0.5×	233 1.1×	42 0.3×	55 0.5×	61	681
Qingpeng Meng	408 1.1×	117 0.5×	295 1.4×	168 1.1×	27 0.2×	37	874

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).

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.

Co-authorship network of co-authors of Massimo Raveggi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Raveggi. A scholar is included among the top collaborators of Massimo Raveggi 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 Massimo Raveggi. Massimo Raveggi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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