Michaela Cellina
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Otorhinolaryngology top 2%
- Sinusitis and nasal conditions
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 21
- COVID-19 diagnosis using AI 10
- Surgery 30
- Head and Neck Surgical Oncology 9
- Co-authors
- Giancarlo Oliva (51 shared papers)Daniele Gibelli (52 shared papers)Maurizio Cè (43 shared papers)C Martinenghi (25 shared papers)Chiarella Sforza (29 shared papers)Chiara Floridi (21 shared papers)Antonio Giancarlo Oliva (16 shared papers)Giovanni Irmici (16 shared papers)
- Journals
- Applied Sciences (10 papers)La radiologia medica (9 papers)Journal of Craniofacial Surgery (6 papers)Critical Reviews™ in Oncogenesis (5 papers)International Journal of Legal Medicine (5 papers)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Michaela Cellina
116 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 127
- Health Informatics 146
- Otorhinolaryngology 194
- Radiology, Nuclear Medicine and Imaging 486
- Oral Surgery 144
- Archeology 136
Countries citing papers authored by Michaela Cellina
This map shows the geographic impact of Michaela Cellina'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 Michaela Cellina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Cellina more than expected).
Fields of papers citing papers by Michaela Cellina
This network shows the impact of papers produced by Michaela Cellina. 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 Michaela Cellina. The network helps show where Michaela Cellina may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Cellina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 90 | |
| 2 | 2013 | 86 | |
| 3 | 2023 | 82 | |
| 4 | 2023 | 64 | |
| 5 | 2017 | 58 | |
| 6 | 2022 | 54 | |
| 7 | 2019 | 43 | |
| 8 | 2021 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2018 | 40 | |
| 11 | 2018 | 38 | |
| 12 | 2019 | 37 | |
| 13 | 2022 | 36 | |
| 14 | 2023 | 34 | |
| 15 | 2022 | 34 | |
| 16 | 2020 | 33 | |
| 17 | 2020 | 31 | |
| 18 | 2023 | 29 | |
| 19 | 2020 | 28 | |
| 20 | 2019 | 28 |
About Michaela Cellina
Michaela Cellina is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 124 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Sinusitis and nasal conditions (19 papers), Advanced X-ray and CT Imaging (14 papers), Lymphatic System and Diseases (10 papers), COVID-19 diagnosis using AI (10 papers), Forensic Anthropology and Bioarchaeology Studies (9 papers), Dental Radiography and Imaging (9 papers) and Head and Neck Surgical Oncology (9 papers). The work is most often cited by research in Health Informatics (146 citations), Otorhinolaryngology (194 citations), Radiology, Nuclear Medicine and Imaging (486 citations), Oral Surgery (144 citations) and Archeology (136 citations). Michaela Cellina has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Giancarlo Oliva, Daniele Gibelli, Maurizio Cè, C Martinenghi, Chiarella Sforza, Chiara Floridi, Antonio Giancarlo Oliva, Giovanni Irmici, Sergio Papa and Marta Panzeri. Their work appears in journals such as Applied Sciences, La radiologia medica, Journal of Craniofacial Surgery, Critical Reviews™ in Oncogenesis and International Journal of Legal Medicine.
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.