Matteo Giacopini

96 total papers · 1.1k total citations
64 papers, 888 citations indexed

About

Matteo Giacopini is a scholar working on Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Matteo Giacopini has authored 64 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Mechanical Engineering, 31 papers in Mechanics of Materials and 10 papers in Civil and Structural Engineering. Recurrent topics in Matteo Giacopini's work include Gear and Bearing Dynamics Analysis (20 papers), Tribology and Lubrication Engineering (19 papers) and Mechanical stress and fatigue analysis (18 papers). Matteo Giacopini is often cited by papers focused on Gear and Bearing Dynamics Analysis (20 papers), Tribology and Lubrication Engineering (19 papers) and Mechanical stress and fatigue analysis (18 papers). Matteo Giacopini collaborates with scholars based in Italy, United Kingdom and Türkiye. Matteo Giacopini's co-authors include Daniele Dini, Antonio Strozzi, Stefano Fontanesi, A. Baldini, Mark Fowell, Enrico Bertocchi, Sara Mantovani, Demetrio C. Zachariadis, Francisco J. Profito and S. Fantoni and has published in prestigious journals such as International Journal of Solids and Structures, Applied Thermal Engineering and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Matteo Giacopini

62 papers receiving 847 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Giacopini 704 340 126 105 80 64 888
E. Marotta 362 0.5× 305 0.9× 75 0.6× 71 0.7× 95 1.2× 47 718
Steven Le Corre 592 0.8× 612 1.8× 93 0.7× 70 0.7× 96 1.2× 58 1.0k
Marcus Klein 467 0.7× 331 1.0× 75 0.6× 110 1.0× 175 2.2× 61 747
Sébastien Comas-Cardona 550 0.8× 611 1.8× 89 0.7× 24 0.2× 65 0.8× 64 946
Massimo Rundo 908 1.3× 381 1.1× 38 0.3× 44 0.4× 97 1.2× 69 991
Ron A.J. van Ostayen 784 1.1× 353 1.0× 75 0.6× 32 0.3× 24 0.3× 71 951
Antonio Strozzi 761 1.1× 588 1.7× 50 0.4× 38 0.4× 27 0.3× 97 982
M. Vaz 445 0.6× 309 0.9× 194 1.5× 84 0.8× 11 0.1× 66 744
Roger T. Fenner 323 0.5× 632 1.9× 194 1.5× 182 1.7× 18 0.2× 79 1.0k
D. E. Brewe 803 1.1× 366 1.1× 102 0.8× 56 0.5× 23 0.3× 51 911

Countries citing papers authored by Matteo Giacopini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Giacopini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Giacopini

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