M. Martini

45 total papers · 836 total citations
34 papers, 695 citations indexed

About

M. Martini is a scholar working on Geophysics, Geochemistry and Petrology and Artificial Intelligence. According to data from OpenAlex, M. Martini has authored 34 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Geophysics, 11 papers in Geochemistry and Petrology and 9 papers in Artificial Intelligence. Recurrent topics in M. Martini's work include Geological and Geochemical Analysis (11 papers), Groundwater and Isotope Geochemistry (9 papers) and Geochemistry and Geologic Mapping (7 papers). M. Martini is often cited by papers focused on Geological and Geochemical Analysis (11 papers), Groundwater and Isotope Geochemistry (9 papers) and Geochemistry and Geologic Mapping (7 papers). M. Martini collaborates with scholars based in Italy, Japan and Russia. M. Martini's co-authors include Giovanni Piccardi, Bruno Capaccioni, Filippo Mangani, Luciano Giannini, Vittorio Duchi, Andrea Bencini, F. Barberi, G. Marinelli, Edoardo Del Pezzo and Jun‐ichi Hirabayashi and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and Geophysical Research Letters.

In The Last Decade

M. Martini

34 papers receiving 637 citations

Author Peers

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

Author						Papers	Cites
M. Martini	329	190	159	144	110	34	695
Itsuro Kita	327 1.0×	144 0.8×	173 1.1×	189 1.3×	86 0.8×	31	735
Galip Yüce	250 0.8×	128 0.7×	98 0.6×	106 0.7×	88 0.8×	33	603
F. Le Guern	420 1.3×	106 0.6×	229 1.4×	87 0.6×	126 1.1×	32	780
Claudio Inguaggiato	357 1.1×	328 1.7×	83 0.5×	126 0.9×	92 0.8×	55	788
Rui Coutinho	142 0.4×	222 1.2×	122 0.8×	153 1.1×	143 1.3×	38	787
Timo Ruskeeniemi	173 0.5×	122 0.6×	272 1.7×	179 1.2×	82 0.7×	45	687
Matthew J. Evans	260 0.8×	210 1.1×	368 2.3×	99 0.7×	122 1.1×	17	790
Carmine Minopoli	365 1.1×	60 0.3×	108 0.7×	100 0.7×	121 1.1×	24	703
H.A. Wollenberg	278 0.8×	118 0.6×	86 0.5×	50 0.3×	63 0.6×	55	596
L.D. White	302 0.9×	198 1.0×	137 0.9×	182 1.3×	56 0.5×	22	660

Countries citing papers authored by M. Martini

Since Specialization

Citations

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

Fields of papers citing papers by M. Martini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Martini

This figure shows the co-authorship network connecting the top 25 collaborators of M. Martini. A scholar is included among the top collaborators of M. Martini 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 M. Martini. M. Martini 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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