Matteo Mastellone

58 total papers · 858 total citations
50 papers, 652 citations indexed

About

Matteo Mastellone is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Matteo Mastellone has authored 50 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Materials Chemistry, 16 papers in Electrical and Electronic Engineering and 16 papers in Biomedical Engineering. Recurrent topics in Matteo Mastellone's work include Diamond and Carbon-based Materials Research (23 papers), Thermal Radiation and Cooling Technologies (12 papers) and Laser Material Processing Techniques (11 papers). Matteo Mastellone is often cited by papers focused on Diamond and Carbon-based Materials Research (23 papers), Thermal Radiation and Cooling Technologies (12 papers) and Laser Material Processing Techniques (11 papers). Matteo Mastellone collaborates with scholars based in Italy, United States and China. Matteo Mastellone's co-authors include D.M. Trucchi, M. Girolami, A. Bellucci, S. Orlando, Valerio Serpente, Riccardo Polini, Veronica Valentini, A. Santagata, Alessio Mezzi and Elisa Sani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Carbon.

In The Last Decade

Matteo Mastellone

44 papers receiving 627 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Mastellone 383 183 183 164 144 50 652
Mizue Mizoshiri 255 0.7× 186 1.0× 271 1.5× 339 2.1× 121 0.8× 66 674
Haoyan Wei 176 0.5× 132 0.7× 163 0.9× 119 0.7× 85 0.6× 34 602
Steffen Richter 164 0.4× 42 0.2× 163 0.9× 200 1.2× 60 0.4× 40 573
Feng Hao 398 1.0× 52 0.3× 162 0.9× 190 1.2× 81 0.6× 25 678
Brian Good 299 0.8× 32 0.2× 128 0.7× 105 0.6× 129 0.9× 50 646
Xiaofan Zhang 483 1.3× 23 0.1× 290 1.6× 94 0.6× 65 0.5× 40 684
Ke Chen 570 1.5× 20 0.1× 188 1.0× 132 0.8× 103 0.7× 30 780
Mykola Isaiev 372 1.0× 70 0.4× 122 0.7× 261 1.6× 102 0.7× 65 588
J. P. Moore 443 1.2× 28 0.2× 126 0.7× 76 0.5× 69 0.5× 27 694
Bertrand G. Bovard 237 0.6× 101 0.6× 412 2.3× 157 1.0× 23 0.2× 30 617

Countries citing papers authored by Matteo Mastellone

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Mastellone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Mastellone

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