S. Mariani

475 total papers · 7.1k total citations
10 papers, 39 citations indexed

About

S. Mariani is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Mariani has authored 10 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 4 papers in Biomedical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Mariani's work include Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (4 papers) and Particle Detector Development and Performance (3 papers). S. Mariani is often cited by papers focused on Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (4 papers) and Particle Detector Development and Performance (3 papers). S. Mariani collaborates with scholars based in Italy, Switzerland and United States. S. Mariani's co-authors include Ilya Usoskin, P.G. Rancoita, M. Gervasi, G. Boella, Germano Nicollini, Angelo Nagari, P. Di Nezza, G. Ciullo, E. Franzoso and Jérôme Harmand and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and IEEE Journal of Solid-State Circuits.

In The Last Decade

S. Mariani

9 papers receiving 38 citations

Author Peers

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

Author Last Decade Papers Cites
S. Mariani 17 13 13 13 5 10 39
D. Eriksson 29 1.7× 19 1.5× 10 0.8× 4 0.3× 5 1.0× 10 44
S. Manen 19 1.1× 6 0.5× 23 1.8× 19 1.5× 5 1.0× 12 42
M. Ageron 21 1.2× 9 0.7× 7 0.5× 3 0.2× 9 34
F. Rarbi 25 1.5× 8 0.6× 22 1.7× 12 0.9× 1 0.2× 10 40
Jia Huo 19 1.1× 14 1.1× 15 1.2× 4 0.3× 13 34
G. Minervini 16 0.9× 35 2.7× 12 0.9× 8 0.6× 10 43
Georgios Gerasimos Voutsinas 38 2.2× 6 0.5× 9 0.7× 3 0.2× 3 0.6× 9 39
M. C. Sánchez 26 1.5× 19 1.5× 15 1.2× 2 0.2× 9 1.8× 11 55
M. Barceló 13 0.8× 3 0.2× 10 0.8× 8 0.6× 1 0.2× 8 37
N. Mandolesi 8 0.5× 28 2.2× 15 1.2× 5 0.4× 1 0.2× 11 41

Countries citing papers authored by S. Mariani

Since Specialization
Citations

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

Fields of papers citing papers by S. Mariani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Mariani

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