M. Saitta

14 total papers · 777 total citations
12 papers, 685 citations indexed

About

M. Saitta is a scholar working on Radiation, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, M. Saitta has authored 12 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiation, 3 papers in Artificial Intelligence and 3 papers in Materials Chemistry. Recurrent topics in M. Saitta's work include X-ray Spectroscopy and Fluorescence Analysis (6 papers), Geochemistry and Geologic Mapping (3 papers) and X-ray Diffraction in Crystallography (3 papers). M. Saitta is often cited by papers focused on X-ray Spectroscopy and Fluorescence Analysis (6 papers), Geochemistry and Geologic Mapping (3 papers) and X-ray Diffraction in Crystallography (3 papers). M. Saitta collaborates with scholars based in Italy and United States. M. Saitta's co-authors include Livia Leoni, Marco Franzini, Leonardo Leoni, G. Serri, P. Colantoni, Pier Luca Rossi, N. Calanchi, Igor M. Villa, Patrizia Landi and F. Barberi and has published in prestigious journals such as Marine Geology, Bulletin of Volcanology and X-Ray Spectrometry.

In The Last Decade

M. Saitta

11 papers receiving 630 citations

Author Peers

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

Author						Papers	Cites
M. Saitta	356	165	148	120	100	12	685
M.A. Gouveia	190 0.5×	319 1.9×	145 1.0×	131 1.1×	94 0.9×	40	684
N. K. Saini	327 0.9×	145 0.9×	276 1.9×	195 1.6×	136 1.4×	32	742
J. Schneider	338 0.9×	186 1.1×	37 0.3×	188 1.6×	102 1.0×	15	601
Claude-Jean Allègre	327 0.9×	217 1.3×	135 0.9×	156 1.3×	31 0.3×	8	755
C. Pomiès	141 0.4×	395 2.4×	311 2.1×	51 0.4×	87 0.9×	9	620
J. Amossé	424 1.2×	149 0.9×	106 0.7×	166 1.4×	30 0.3×	29	668
Shimon Ilani	185 0.5×	81 0.5×	121 0.8×	107 0.9×	67 0.7×	32	633
Renzo Tassinari	260 0.7×	154 0.9×	55 0.4×	78 0.7×	27 0.3×	26	665
Veysel Zedef	272 0.8×	200 1.2×	63 0.4×	86 0.7×	72 0.7×	31	601
Maria Rosaria Ghiara	458 1.3×	153 0.9×	133 0.9×	112 0.9×	70 0.7×	32	779

Countries citing papers authored by M. Saitta

Since Specialization

Citations

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

Fields of papers citing papers by M. Saitta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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