Antonella Carbonaro
- Artificial Intelligence top 10%
- Biomedical Engineering
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Lydia L. SohnVittorio ManiezzoFilippo PiccininiGianluca MoroGiovanni MartinelliGiancarlo MauceriPrimo ZingarettiStefano Meda
- Topics
- Semantic Web and Ontologies (9 papers)Biomedical Text Mining and Ontologies (7 papers)Topic Modeling (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Membrane ScienceIEEE Access
- Partner nations
- ItalyUnited StatesSlovenia
In The Last Decade
Antonella Carbonaro
66 papers receiving 651 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 178
- Biomedical Engineering 152
- Molecular Biology 101
- Computer Vision and Pattern Recognition 77
- Information Systems 67
Countries citing papers authored by Antonella Carbonaro
This map shows the geographic impact of Antonella Carbonaro'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 Antonella Carbonaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonella Carbonaro more than expected).
Fields of papers citing papers by Antonella Carbonaro
This network shows the impact of papers produced by Antonella Carbonaro. 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 Antonella Carbonaro. The network helps show where Antonella Carbonaro may publish in the future.
Co-authorship network of co-authors of Antonella Carbonaro
This figure shows the co-authorship network connecting the top 25 collaborators of Antonella Carbonaro. A scholar is included among the top collaborators of Antonella Carbonaro 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 Antonella Carbonaro. Antonella Carbonaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 26 | |
| 13 | 24 | |
| 14 | 7 | |
| 15 | 31 | |
| 16 | Concepts-based Content Analysis for Semantic Recommendations | 1 |
| 17 | A framework for knowledge acquisition in intelligent tutoring systems | 1 |
| 18 | An architecture for knowledge management in intelligent tutoring system | 7 |
| 19 | Designing Models and Services for Learning Management Systems in Mobile Settings | 0 |
| 20 | 2 |
About Antonella Carbonaro
Antonella Carbonaro is a scholar working on Computer Science Applications, Mathematical Physics and Artificial Intelligence, having authored 73 papers that have together received 687 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Computer Science Applications (41 citations), Applied Mathematics (61 citations) and Mathematical Physics (51 citations). Antonella Carbonaro has collaborated with scholars based in Italy, United States and Slovenia. Frequent co-authors include Lydia L. Sohn, Vittorio Maniezzo, Filippo Piccinini, Gianluca Moro, Giovanni Martinelli, Giancarlo Mauceri, Primo Zingaretti, Stefano Meda, Lucy A. Godley and Haiyan Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Membrane Science and IEEE Access.
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.