Federico Maspero

74 total papers · 658 total citations
34 papers, 382 citations indexed

About

Federico Maspero is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Federico Maspero has authored 34 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 16 papers in Biomedical Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Federico Maspero's work include Acoustic Wave Resonator Technologies (11 papers), Mechanical and Optical Resonators (10 papers) and Advanced MEMS and NEMS Technologies (9 papers). Federico Maspero is often cited by papers focused on Acoustic Wave Resonator Technologies (11 papers), Mechanical and Optical Resonators (10 papers) and Advanced MEMS and NEMS Technologies (9 papers). Federico Maspero collaborates with scholars based in Italy, France and Germany. Federico Maspero's co-authors include Mario G. Clerici, Ugo Romano, Henry Taube, M.G. Clerici, Giacomo Langfelder, A. Berthelot, R. Bertacco, Raffaele Ardito, Sébastien Hentz and Gabriello Illuminati and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Federico Maspero

30 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Federico Maspero 187 169 111 63 56 34 382
G. Naaresh Reddy 159 0.9× 111 0.7× 172 1.5× 23 0.4× 50 0.9× 23 390
David S. Coll 152 0.8× 96 0.6× 117 1.1× 81 1.3× 41 0.7× 32 424
Jun Yi 173 0.9× 93 0.6× 183 1.6× 101 1.6× 82 1.5× 27 439
Hiroaki Kitahara 185 1.0× 85 0.5× 153 1.4× 83 1.3× 115 2.1× 27 393
Wenjing Cui 113 0.6× 134 0.8× 235 2.1× 41 0.7× 116 2.1× 26 426
Masahiro Horiguchi 88 0.5× 57 0.3× 163 1.5× 75 1.2× 54 1.0× 24 395
Hakan Kayı 120 0.6× 64 0.4× 53 0.5× 38 0.6× 35 0.6× 38 352
Beatriz D. Moreno 135 0.7× 109 0.6× 111 1.0× 26 0.4× 66 1.2× 30 336
Tohru Tsuchiya 197 1.1× 49 0.3× 115 1.0× 48 0.8× 18 0.3× 43 382
Yingxin Sun 93 0.5× 181 1.1× 158 1.4× 58 0.9× 43 0.8× 34 403

Countries citing papers authored by Federico Maspero

Since Specialization
Citations

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

Fields of papers citing papers by Federico Maspero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Maspero

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