Giovanni Ferraro

87 total papers · 1.6k total citations
59 papers, 1.3k citations indexed

About

Giovanni Ferraro is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Giovanni Ferraro has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 15 papers in Biomedical Engineering and 13 papers in Materials Chemistry. Recurrent topics in Giovanni Ferraro's work include Electrochemical sensors and biosensors (9 papers), Biosensors and Analytical Detection (6 papers) and Plasma Diagnostics and Applications (5 papers). Giovanni Ferraro is often cited by papers focused on Electrochemical sensors and biosensors (9 papers), Biosensors and Analytical Detection (6 papers) and Plasma Diagnostics and Applications (5 papers). Giovanni Ferraro collaborates with scholars based in Italy, Spain and United States. Giovanni Ferraro's co-authors include F. Cramarossa, S. De Benedictis, Emiliano Fratini, Riccardo d’Agostino, Flavio Della Pelle, Darío Compagnone, Annalisa Scroccarello, Ralph B. D’Agostino, Piero Baglioni and Daniel Rojas and has published in prestigious journals such as Journal of Applied Physics, Langmuir and Scientific Reports.

In The Last Decade

Giovanni Ferraro

55 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Giovanni Ferraro 425 342 214 190 155 59 1.3k
Yong‐Jae Kim 538 1.3× 503 1.5× 117 0.5× 262 1.4× 29 0.2× 88 1.5k
John C. Thomas 207 0.5× 464 1.4× 420 2.0× 409 2.2× 122 0.8× 78 1.8k
Júlio César da Silva 106 0.2× 383 1.1× 200 0.9× 181 1.0× 54 0.3× 72 1.3k
Shunichi Suzuki 282 0.7× 428 1.3× 478 2.2× 181 1.0× 28 0.2× 149 1.7k
Weiwei Zhang 413 1.0× 644 1.9× 218 1.0× 195 1.0× 51 0.3× 89 1.6k
Shunli Chen 228 0.5× 417 1.2× 268 1.3× 246 1.3× 35 0.2× 100 1.6k
Lipeng Liu 433 1.0× 367 1.1× 71 0.3× 181 1.0× 118 0.8× 111 1.2k
Ryo Nishimura 128 0.3× 663 1.9× 115 0.5× 401 2.1× 79 0.5× 71 1.3k
Yalong Li 370 0.9× 452 1.3× 49 0.2× 102 0.5× 108 0.7× 79 1.1k
Zhixuan Wang 203 0.5× 248 0.7× 109 0.5× 167 0.9× 62 0.4× 88 1.2k

Countries citing papers authored by Giovanni Ferraro

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Ferraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Ferraro

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