Nicola Cappetti

104 total papers · 1.1k total citations
63 papers, 756 citations indexed

About

Nicola Cappetti is a scholar working on Social Psychology, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Nicola Cappetti has authored 63 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Social Psychology, 18 papers in Biomedical Engineering and 13 papers in Automotive Engineering. Recurrent topics in Nicola Cappetti's work include Ergonomics and Musculoskeletal Disorders (17 papers), Effects of Vibration on Health (9 papers) and Musculoskeletal pain and rehabilitation (8 papers). Nicola Cappetti is often cited by papers focused on Ergonomics and Musculoskeletal Disorders (17 papers), Effects of Vibration on Health (9 papers) and Musculoskeletal pain and rehabilitation (8 papers). Nicola Cappetti collaborates with scholars based in Italy, United States and Spain. Nicola Cappetti's co-authors include Alessandro Naddeo, Paola Scarfato, Bartolomeo Coppola, Luciano Di Maio, Loredana Incarnato, Mario Pisaturo, Adolfo Senatore, Vincenzo D’Agostino, Giovanni F. Solitro and M. Pappalardo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Composites Part B Engineering and Journal of Materials Processing Technology.

In The Last Decade

Nicola Cappetti

51 papers receiving 713 citations

Author Peers

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

Author Last Decade Papers Cites
Nicola Cappetti 284 244 213 121 116 63 756
Alessandro Naddeo 73 0.3× 195 0.8× 415 1.9× 80 0.7× 214 1.8× 99 822
Kristiaan Schreve 363 1.3× 204 0.8× 95 0.4× 228 1.9× 29 0.3× 37 847
Tamara Reid Bush 22 0.1× 251 1.0× 115 0.5× 31 0.3× 91 0.8× 79 706
Jiun‐Ren Hwang 126 0.4× 45 0.2× 192 0.9× 251 2.1× 16 0.1× 49 811
Prabhuraj D. Venkatraman 72 0.3× 196 0.8× 22 0.1× 283 2.3× 22 0.2× 40 766
He Gong 91 0.3× 323 1.3× 8 0.0× 183 1.5× 117 1.0× 88 775
Baekhee Lee 36 0.1× 251 1.0× 135 0.6× 176 1.5× 20 0.2× 58 683
Solehuddin Shuib 73 0.3× 195 0.8× 13 0.1× 160 1.3× 14 0.1× 59 621
Kyunghi Hong 23 0.1× 134 0.5× 178 0.8× 18 0.1× 52 0.4× 75 758
Bernhard Weisse 32 0.1× 199 0.8× 14 0.1× 166 1.4× 29 0.3× 50 814

Countries citing papers authored by Nicola Cappetti

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Cappetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Cappetti

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