Fabio D’Aiuto

31 total papers · 641 total citations
18 papers, 511 citations indexed

About

Fabio D’Aiuto is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Fabio D’Aiuto has authored 18 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 11 papers in Materials Chemistry and 5 papers in Mechanics of Materials. Recurrent topics in Fabio D’Aiuto's work include Microstructure and Mechanical Properties of Steels (8 papers), Metal Alloys Wear and Properties (6 papers) and Welding Techniques and Residual Stresses (6 papers). Fabio D’Aiuto is often cited by papers focused on Microstructure and Mechanical Properties of Steels (8 papers), Metal Alloys Wear and Properties (6 papers) and Welding Techniques and Residual Stresses (6 papers). Fabio D’Aiuto collaborates with scholars based in Italy, Switzerland and Belgium. Fabio D’Aiuto's co-authors include Paolo Matteis, Alessio Gullino, Renzo Valentini, A. Dimatteo, Gianfranco Lovicu, Ciro Santus, Massimo De Sanctis, Flavia Gili, Elisa Padovano and Claudio Francesco Badini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Alloys and Compounds and Metallurgical and Materials Transactions A.

In The Last Decade

Fabio D’Aiuto

17 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Fabio D’Aiuto	425	226	188	84	83	18	511
Tarek Allam	519 1.2×	222 1.0×	127 0.7×	80 1.0×	49 0.6×	32	567
Yuanjian Hong	446 1.0×	225 1.0×	244 1.3×	103 1.2×	60 0.7×	25	554
Martina Meisnar	308 0.7×	204 0.9×	174 0.9×	62 0.7×	98 1.2×	22	451
Tianyi Sun	477 1.1×	223 1.0×	88 0.5×	75 0.9×	78 0.9×	22	568
Chaofang Dong	438 1.0×	120 0.5×	126 0.7×	41 0.5×	87 1.0×	15	501
Maria Clara Filippini Ierardi	348 0.8×	191 0.8×	64 0.3×	65 0.8×	65 0.8×	15	450
Ayda Shahriari	453 1.1×	174 0.8×	126 0.7×	55 0.7×	39 0.5×	20	548
Dinesh W. Rathod	490 1.2×	95 0.4×	234 1.2×	90 1.1×	49 0.6×	27	529
Sheng-Hui Wang	418 1.0×	331 1.5×	201 1.1×	164 2.0×	52 0.6×	20	573
Xingzhong Liang	480 1.1×	348 1.5×	95 0.5×	122 1.5×	56 0.7×	17	572

Countries citing papers authored by Fabio D’Aiuto

Since Specialization

Citations

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

Fields of papers citing papers by Fabio D’Aiuto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio D’Aiuto. 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 Fabio D’Aiuto. The network helps show where Fabio D’Aiuto may publish in the future.

Co-authorship network of co-authors of Fabio D’Aiuto

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio D’Aiuto. A scholar is included among the top collaborators of Fabio D’Aiuto 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 Fabio D’Aiuto. Fabio D’Aiuto 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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