Jacopo Barberi

24 total papers · 954 total citations
20 papers, 749 citations indexed

About

Jacopo Barberi is a scholar working on Biomedical Engineering, Orthodontics and Oral Surgery. According to data from OpenAlex, Jacopo Barberi has authored 20 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 7 papers in Orthodontics and 6 papers in Oral Surgery. Recurrent topics in Jacopo Barberi's work include Bone Tissue Engineering Materials (16 papers), Dental materials and restorations (7 papers) and Dental Implant Techniques and Outcomes (6 papers). Jacopo Barberi is often cited by papers focused on Bone Tissue Engineering Materials (16 papers), Dental materials and restorations (7 papers) and Dental Implant Techniques and Outcomes (6 papers). Jacopo Barberi collaborates with scholars based in Italy, Japan and Finland. Jacopo Barberi's co-authors include Enrica Verné, Silvia Spriano, Elisa Fiume, Francesco Baino, Jonathan Massera, Sara Ferraris, Saeid Kargozar, Juliana Marchi, Seiji Yamaguchi and Gissur Örlygsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Surface Science and Materials Science and Engineering C.

In The Last Decade

Jacopo Barberi

19 papers receiving 737 citations

Hit Papers

Bioactive Glasses: From P... 2018 2026 2020 2023 2018 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Jacopo Barberi 614 267 195 190 127 20 749
Alain Hoornaert 579 0.9× 325 1.2× 141 0.7× 244 1.3× 107 0.8× 21 835
Alina Grünewald 732 1.2× 239 0.9× 137 0.7× 218 1.1× 254 2.0× 23 872
G.A. Soares 585 1.0× 168 0.6× 125 0.6× 189 1.0× 159 1.3× 19 671
Euler Araujo dos Santos 538 0.9× 165 0.6× 131 0.7× 150 0.8× 158 1.2× 37 653
Joop Wolke 627 1.0× 247 0.9× 226 1.2× 198 1.0× 135 1.1× 19 767
Namsik Oh 524 0.9× 239 0.9× 171 0.9× 201 1.1× 106 0.8× 34 760
Chao Wang 488 0.8× 270 1.0× 192 1.0× 333 1.8× 119 0.9× 42 905
D. Bernache-Assolant 820 1.3× 356 1.3× 302 1.5× 247 1.3× 146 1.1× 6 887
Mariane Beatriz Sordi 484 0.8× 230 0.9× 178 0.9× 173 0.9× 90 0.7× 32 804
Yassine Maazouz 730 1.2× 242 0.9× 120 0.6× 218 1.1× 162 1.3× 22 846

Countries citing papers authored by Jacopo Barberi

Since Specialization
Citations

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

Fields of papers citing papers by Jacopo Barberi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacopo Barberi

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