Matteo Staffaroni

30 total papers · 951 total citations
17 papers, 658 citations indexed

About

Matteo Staffaroni is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Mechanics of Materials. According to data from OpenAlex, Matteo Staffaroni has authored 17 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Mechanics of Materials. Recurrent topics in Matteo Staffaroni's work include Near-Field Optical Microscopy (12 papers), Plasmonic and Surface Plasmon Research (9 papers) and Adhesion, Friction, and Surface Interactions (6 papers). Matteo Staffaroni is often cited by papers focused on Near-Field Optical Microscopy (12 papers), Plasmonic and Surface Plasmon Research (9 papers) and Adhesion, Friction, and Surface Interactions (6 papers). Matteo Staffaroni collaborates with scholars based in United States, Taiwan and Canada. Matteo Staffaroni's co-authors include Eli Yablonovitch, P. James Schuck, Stefano Cabrini, Jeffrey Bokor, Hyuck Choo, Ming C. Wu, Tae Joon Seok, Josh Conway, Barry Stipe and Miquel Salmerón and has published in prestigious journals such as Science, Nano Letters and Nature Photonics.

In The Last Decade

Matteo Staffaroni

17 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 Staffaroni 523 282 275 214 90 17 658
Thierry Laroche 431 0.8× 270 1.0× 234 0.9× 163 0.8× 90 1.0× 28 585
J. R. Skuza 327 0.6× 331 1.2× 266 1.0× 226 1.1× 64 0.7× 24 691
Chang‐Wei Cheng 364 0.7× 230 0.8× 174 0.6× 304 1.4× 63 0.7× 22 631
Eric X. Jin 655 1.3× 263 0.9× 188 0.7× 162 0.8× 206 2.3× 22 708
Akemi Hirotsune 345 0.7× 257 0.9× 299 1.1× 156 0.7× 58 0.6× 28 606
Leonard Gonzaga 431 0.8× 171 0.6× 319 1.2× 377 1.8× 30 0.3× 20 716
Harsha Reddy 336 0.6× 228 0.8× 152 0.6× 295 1.4× 59 0.7× 20 671
Thomas D. Boone 275 0.5× 223 0.8× 357 1.3× 207 1.0× 37 0.4× 21 667
Shanying Cui 337 0.6× 227 0.8× 274 1.0× 182 0.9× 25 0.3× 12 588
Dennis Lehr 408 0.8× 253 0.9× 270 1.0× 339 1.6× 141 1.6× 26 688

Countries citing papers authored by Matteo Staffaroni

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Staffaroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Staffaroni

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