Andrea Campagner
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Informatics top 0.2%
- Computational Theory and Mathematics top 5%
- Infectious Diseases top 10%
- Co-authors
- Federico CabitzaDavide CiucciGiuseppe BanfiAnna CarobeneMassimo LocatelliDavide FerrariLuca Maria SconfienzaClara Balsano
- Topics
- Artificial Intelligence in Healthcare and Education (17 papers)Explainable Artificial Intelligence (XAI) (16 papers)Rough Sets and Fuzzy Logic (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with Applications
In The Last Decade
Andrea Campagner
61 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 722
- Radiology, Nuclear Medicine and Imaging 455
- Health Informatics 323
- Computational Theory and Mathematics 184
- Infectious Diseases 165
Countries citing papers authored by Andrea Campagner
This map shows the geographic impact of Andrea Campagner'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 Andrea Campagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Campagner more than expected).
Fields of papers citing papers by Andrea Campagner
This network shows the impact of papers produced by Andrea Campagner. 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 Andrea Campagner. The network helps show where Andrea Campagner may publish in the future.
Co-authorship network of co-authors of Andrea Campagner
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Campagner. A scholar is included among the top collaborators of Andrea Campagner 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 Andrea Campagner. Andrea Campagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 20 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 21 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 155 | |
| 15 | 64 | |
| 16 | 110 | |
| 17 | 34 | |
| 18 | 27 | |
| 19 | 65 | |
| 20 | 225 |
About Andrea Campagner
Andrea Campagner is a scholar working on Health Informatics, Family Practice and Artificial Intelligence, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (17 papers), Explainable Artificial Intelligence (XAI) (16 papers) and Rough Sets and Fuzzy Logic (11 papers). The work is most often cited by research in Health Informatics (323 citations), Health Information Management (147 citations) and Artificial Intelligence (722 citations). Andrea Campagner has collaborated with scholars based in Italy, Portugal and Spain. Frequent co-authors include Federico Cabitza, Davide Ciucci, Giuseppe Banfi, Anna Carobene, Massimo Locatelli, Davide Ferrari, Luca Maria Sconfienza, Clara Balsano, Marília Barandas and Michela Seghezzi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.
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.