Raimondo Penta

92 total papers · 1.4k total citations
55 papers, 907 citations indexed

About

Raimondo Penta is a scholar working on Mechanics of Materials, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Raimondo Penta has authored 55 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Mechanics of Materials, 38 papers in Computational Theory and Mathematics and 18 papers in Biomedical Engineering. Recurrent topics in Raimondo Penta's work include Composite Material Mechanics (38 papers), Advanced Mathematical Modeling in Engineering (38 papers) and Elasticity and Material Modeling (15 papers). Raimondo Penta is often cited by papers focused on Composite Material Mechanics (38 papers), Advanced Mathematical Modeling in Engineering (38 papers) and Elasticity and Material Modeling (15 papers). Raimondo Penta collaborates with scholars based in United Kingdom, Italy and Spain. Raimondo Penta's co-authors include D. Ambrosi, J. Merodio, Ariel Ramírez‐Torres, Alf Gerisch, Reinaldo Rodrı́guez-Ramos, Alfio Grillo, Laura Miller, Rebecca J. Shipley, Alfio Quarteroni and Raúl Guinovart‐Díaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Mechanics and Physics of Solids and Journal of Theoretical Biology.

In The Last Decade

Raimondo Penta

49 papers receiving 883 citations

Author Peers

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

Author Last Decade Papers Cites
Raimondo Penta 619 463 281 163 86 55 907
Eduard Rohan 496 0.8× 430 0.9× 286 1.0× 275 1.7× 21 0.2× 82 856
R. E. Craine 448 0.7× 170 0.4× 313 1.1× 279 1.7× 12 0.1× 27 1.0k
Danial Faghihi 269 0.4× 62 0.1× 104 0.4× 34 0.2× 26 0.3× 45 778
M. Cerrolaza 332 0.5× 53 0.1× 178 0.6× 205 1.3× 9 0.1× 75 826
Paola Causin 74 0.1× 111 0.2× 178 0.6× 585 3.6× 46 0.5× 31 963
Vladyslav V. Danishevskyy 748 1.2× 266 0.6× 236 0.8× 56 0.3× 9 0.1× 50 903
Guanyu Zhou 142 0.2× 108 0.2× 44 0.2× 133 0.8× 6 0.1× 57 889
Lei Liu 100 0.2× 62 0.1× 60 0.2× 533 3.3× 19 0.2× 18 703
Ankush Aggarwal 108 0.2× 45 0.1× 174 0.6× 327 2.0× 17 0.2× 39 773
Franz Chouly 425 0.7× 386 0.8× 86 0.3× 430 2.6× 4 0.0× 48 755

Countries citing papers authored by Raimondo Penta

Since Specialization
Citations

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

Fields of papers citing papers by Raimondo Penta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raimondo Penta

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