Maria Riccio

29 total papers · 668 total citations
26 papers, 480 citations indexed

About

Maria Riccio is a scholar working on Media Technology, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Maria Riccio has authored 26 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Media Technology, 7 papers in Computer Networks and Communications and 7 papers in Aerospace Engineering. Recurrent topics in Maria Riccio's work include Experimental Learning in Engineering (9 papers), Advanced MEMS and NEMS Technologies (4 papers) and Inertial Sensor and Navigation (4 papers). Maria Riccio is often cited by papers focused on Experimental Learning in Engineering (9 papers), Advanced MEMS and NEMS Technologies (4 papers) and Inertial Sensor and Navigation (4 papers). Maria Riccio collaborates with scholars based in Italy, Croatia and Japan. Maria Riccio's co-authors include Pasquale Daponte, Luca De Vito, Francesco Picariello, Sergio Rapuano, Francesco Lamonaca, Domenico Grimaldi, Domenico Luca Carnì, G. Andria, Lorenzo Peretto and A. Nastro and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Measurement and IEEE Instrumentation & Measurement Magazine.

In The Last Decade

Maria Riccio

26 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Riccio 133 112 105 91 89 26 480
J. J. Fernández-Lozano 121 0.9× 90 0.8× 65 0.6× 81 0.9× 91 1.0× 39 458
Zhongqin Wang 315 2.4× 92 0.8× 88 0.8× 127 1.4× 116 1.3× 23 515
Junchen Guo 225 1.7× 43 0.4× 64 0.6× 63 0.7× 88 1.0× 19 477
Turke Althobaiti 90 0.7× 111 1.0× 69 0.7× 29 0.3× 78 0.9× 35 453
Yang Li 59 0.4× 166 1.5× 66 0.6× 49 0.5× 183 2.1× 22 515
Julien Maítre 96 0.7× 151 1.3× 79 0.8× 16 0.2× 30 0.3× 33 480
Jawad Ali Shah 64 0.5× 82 0.7× 95 0.9× 12 0.1× 53 0.6× 57 466
Kai Chen 69 0.5× 224 2.0× 116 1.1× 51 0.6× 18 0.2× 46 465
Wen Zhou 37 0.3× 108 1.0× 38 0.4× 29 0.3× 67 0.8× 46 470
Klaus Hartmann 58 0.4× 216 1.9× 80 0.8× 50 0.5× 14 0.2× 50 507

Countries citing papers authored by Maria Riccio

Since Specialization
Citations

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

Fields of papers citing papers by Maria Riccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Riccio

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