Armando di Matteo

253 total papers · 6.3k total citations
14 papers, 124 citations indexed

About

Armando di Matteo is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Armando di Matteo has authored 14 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 4 papers in Electrical and Electronic Engineering and 2 papers in Astronomy and Astrophysics. Recurrent topics in Armando di Matteo's work include Astrophysics and Cosmic Phenomena (12 papers), Dark Matter and Cosmic Phenomena (8 papers) and Neutrino Physics Research (7 papers). Armando di Matteo is often cited by papers focused on Astrophysics and Cosmic Phenomena (12 papers), Dark Matter and Cosmic Phenomena (8 papers) and Neutrino Physics Research (7 papers). Armando di Matteo collaborates with scholars based in Italy, Belgium and Germany. Armando di Matteo's co-authors include Denise Boncioli, Rafael Alves Batista, A. van Vliet, P. G. Tinyakov, D. Walz, Teresa Bister, Olivier Deligny, Toshihiro Fujii, K. Kawata and Laurent Monat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Nuclear and Particle Physics Proceedings.

In The Last Decade

Armando di Matteo

11 papers receiving 113 citations

Author Peers

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

Author Last Decade Papers Cites
Armando di Matteo 120 42 6 5 4 14 124
A. Albert 135 1.1× 82 2.0× 4 0.7× 5 1.0× 2 0.5× 15 145
S. Zimmer 134 1.1× 105 2.5× 5 0.8× 2 0.4× 5 1.3× 12 152
Anirban Roy 74 0.6× 115 2.7× 4 0.7× 5 1.0× 7 1.8× 11 138
Abhishek Desai 115 1.0× 107 2.5× 6 1.0× 3 0.6× 7 1.8× 15 146
Javier Coronado-Blázquez 128 1.1× 112 2.7× 6 1.0× 3 0.6× 4 1.0× 13 151
L. Saha 142 1.2× 122 2.9× 6 1.0× 4 0.8× 3 0.8× 15 154
Г. В. Жеканис 106 0.9× 115 2.7× 4 0.7× 5 1.0× 2 0.5× 13 121
S. Xella 208 1.7× 37 0.9× 8 1.3× 6 1.2× 15 225
J. Auffenberg 96 0.8× 50 1.2× 2 0.3× 3 0.6× 4 1.0× 17 102
R. Aaij 123 1.0× 19 0.5× 12 2.0× 4 0.8× 12 130

Countries citing papers authored by Armando di Matteo

Since Specialization
Citations

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

Fields of papers citing papers by Armando di Matteo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Armando di Matteo. 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 Armando di Matteo. The network helps show where Armando di Matteo may publish in the future.

Co-authorship network of co-authors of Armando di Matteo

This figure shows the co-authorship network connecting the top 25 collaborators of Armando di Matteo. A scholar is included among the top collaborators of Armando di Matteo 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 Armando di Matteo. Armando di Matteo 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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