Carmelo De Maria
- Biomedical Engineering top 1%
- Automotive Engineering top 0.5%
- Biomaterials top 2%
- Surgery top 10%
- Molecular Biology
- Co-authors
- Giovanni VozziIrene ChiesaFrancesca MontemurroAmedeo Franco BonattiGabriele Maria FortunatoThomas BolandLorenzo MoroniArti Ahluwalia
- Topics
- 3D Printing in Biomedical Research (59 papers)Additive Manufacturing and 3D Printing Technologies (38 papers)Electrospun Nanofibers in Biomedical Applications (24 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Carmelo De Maria
136 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Biomedical Engineering 2.0k
- Automotive Engineering 913
- Biomaterials 670
- Surgery 472
- Molecular Biology 317
Countries citing papers authored by Carmelo De Maria
This map shows the geographic impact of Carmelo De Maria'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 Carmelo De Maria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmelo De Maria more than expected).
Fields of papers citing papers by Carmelo De Maria
This network shows the impact of papers produced by Carmelo De Maria. 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 Carmelo De Maria. The network helps show where Carmelo De Maria may publish in the future.
Co-authorship network of co-authors of Carmelo De Maria
This figure shows the co-authorship network connecting the top 25 collaborators of Carmelo De Maria. A scholar is included among the top collaborators of Carmelo De Maria 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 Carmelo De Maria. Carmelo De Maria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 65 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 26 | |
| 11 | 11 | |
| 12 | 41 | |
| 13 | 20 | |
| 14 | 49 | |
| 15 | 91 | |
| 16 | 20 | |
| 17 | Teaching Design Standards and Regulations on Medical Devices Through a Collaborative Project-Based Learning Approach | 1 |
| 18 | Open source technology in biomedical engineering: fast track towards sustainable development | 1 |
| 19 | Open Source Biomedical Engineering for Sustainability in African Healthcare: Combining Academic Excellence with Innovation | 11 |
| 20 | 2 |
About Carmelo De Maria
Carmelo De Maria is a scholar working on Medical Laboratory Technology, Automotive Engineering and Biomaterials, having authored 143 papers that have together received 2.9k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (59 papers), Additive Manufacturing and 3D Printing Technologies (38 papers) and Electrospun Nanofibers in Biomedical Applications (24 papers). The work is most often cited by research in Automotive Engineering (913 citations), Biomaterials (670 citations) and Biomedical Engineering (2.0k citations). Carmelo De Maria has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giovanni Vozzi, Irene Chiesa, Francesca Montemurro, Amedeo Franco Bonatti, Gabriele Maria Fortunato, Thomas Boland, Lorenzo Moroni, Arti Ahluwalia, Aurora De Acutis and Vladimir Mironov. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Scientific Reports.
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.