Matteo Caprioli

8 total papers · 496 total citations
4 papers, 401 citations indexed

About

Matteo Caprioli is a scholar working on Biomedical Engineering, Automotive Engineering and Radiation. According to data from OpenAlex, Matteo Caprioli has authored 4 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 2 papers in Automotive Engineering and 1 paper in Radiation. Recurrent topics in Matteo Caprioli's work include Additive Manufacturing and 3D Printing Technologies (2 papers), 3D Printing in Biomedical Research (2 papers) and Laser-Ablation Synthesis of Nanoparticles (1 paper). Matteo Caprioli is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (2 papers), 3D Printing in Biomedical Research (2 papers) and Laser-Ablation Synthesis of Nanoparticles (1 paper). Matteo Caprioli collaborates with scholars based in Italy and Israel. Matteo Caprioli's co-authors include Ignazio Roppolo, Candido Fabrizio Pirri, Shlomo Magdassi, Annalisa Chiappone, Liraz Larush, Andrea Lamberti, Sergio Ferrero, Francesco Perrucci, Marco Fontana and Stefano Bianco and has published in prestigious journals such as Advanced Materials, Nature Communications and Nanotechnology.

In The Last Decade

Matteo Caprioli

4 papers receiving 394 citations

Hit Papers

3D-printed self-healing h... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Matteo Caprioli 259 103 101 68 63 4 401
Im Kyung Han 189 0.7× 120 1.2× 45 0.4× 58 0.9× 49 0.8× 15 405
Daniel Alves Heinze 238 0.9× 66 0.6× 103 1.0× 48 0.7× 74 1.2× 7 379
Jekaterina Viktorova 212 0.8× 55 0.5× 182 1.8× 44 0.6× 51 0.8× 7 362
Xueyong Deng 126 0.5× 74 0.7× 31 0.3× 123 1.8× 101 1.6× 11 423
Yeqiao Meng 245 0.9× 71 0.7× 41 0.4× 107 1.6× 108 1.7× 14 426
Jay M. Korde 164 0.6× 62 0.6× 47 0.5× 64 0.9× 100 1.6× 6 369
Qingning Li 236 0.9× 201 2.0× 17 0.2× 51 0.8× 58 0.9× 8 418
Kangtai Ou 160 0.6× 80 0.8× 93 0.9× 58 0.9× 40 0.6× 15 337
Carolina Angulo-Pineda 227 0.9× 64 0.6× 26 0.3× 82 1.2× 61 1.0× 11 350
Joong‐Kwon Kim 172 0.7× 116 1.1× 74 0.7× 37 0.5× 175 2.8× 11 446

Countries citing papers authored by Matteo Caprioli

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Caprioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Caprioli

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