Francesco Ferroni

41 total papers · 590 total citations
16 papers, 414 citations indexed

About

Francesco Ferroni is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Francesco Ferroni has authored 16 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Mechanics of Materials. Recurrent topics in Francesco Ferroni's work include Fusion materials and technologies (8 papers), Nuclear Materials and Properties (7 papers) and Advanced Vision and Imaging (4 papers). Francesco Ferroni is often cited by papers focused on Fusion materials and technologies (8 papers), Nuclear Materials and Properties (7 papers) and Advanced Vision and Imaging (4 papers). Francesco Ferroni collaborates with scholars based in United States, United Kingdom and Japan. Francesco Ferroni's co-authors include Xiaoou Yi, Kazuto Arakawa, S. P. Fitzgerald, Steve Roberts, Philip D. Edmondson, Brian D. Wirth, Karl D. Hammond, Deva Ramanan, Haithem Turki and Jason Zhang and has published in prestigious journals such as Acta Materialia, Journal of Computational Physics and Journal of Nuclear Materials.

In The Last Decade

Francesco Ferroni

16 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Ferroni 303 106 90 53 53 16 414
Yu Wang 131 0.4× 113 1.1× 91 1.0× 23 0.4× 153 2.9× 14 456
Joseph M. Fridy 194 0.6× 29 0.3× 239 2.7× 16 0.3× 215 4.1× 13 398
Jens Klostermann 121 0.4× 162 1.5× 199 2.2× 7 0.1× 54 1.0× 20 393
Martin Bauer 172 0.6× 192 1.8× 104 1.2× 23 0.4× 33 0.6× 17 427
Miao Qi 170 0.6× 35 0.3× 145 1.6× 46 0.9× 110 2.1× 23 406
Niels Christian Krieger Lassen 220 0.7× 31 0.3× 246 2.7× 62 1.2× 85 1.6× 22 465
Lijian Tan 181 0.6× 121 1.1× 130 1.4× 36 0.7× 96 1.8× 18 451
Jungkwuen An 71 0.2× 49 0.5× 46 0.5× 70 1.3× 22 0.4× 31 490
G. J. van Zwieten 99 0.3× 258 2.4× 24 0.3× 13 0.2× 119 2.2× 13 399
Martin Poncelet 71 0.2× 27 0.3× 166 1.8× 149 2.8× 265 5.0× 29 473

Countries citing papers authored by Francesco Ferroni

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Ferroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Ferroni

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