Rosa Palmiero
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- Glioma Diagnosis and Treatment 4
- Artificial Intelligence top 10%
- AI in cancer detection 7
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- Medical Imaging Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 3
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- Colorectal Cancer Screening and Detection 4
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- Brain Metastases and Treatment 6
- Digital Radiography and Breast Imaging 5
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- Advanced X-ray and CT Imaging 4
- Co-authors
- Alessia PellerinoRoberta RudàFrancesco BrunoRiccardo SoffiettiS CatarziGabriella RissoRita BonardiPietro L. Indovina
- Journals
- Cancers (2 papers)Neuro-Oncology (2 papers)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (6 papers)
- Partner nations
- Italy
In The Last Decade
Rosa Palmiero
20 papers receiving 192 citations
Peers
Comparison fields: 5 of 52
- Genetics 46
- Artificial Intelligence 97
- Radiology, Nuclear Medicine and Imaging 61
- Oncology 67
- Pulmonary and Respiratory Medicine 71
Countries citing papers authored by Rosa Palmiero
This map shows the geographic impact of Rosa Palmiero'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 Rosa Palmiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Palmiero more than expected).
Fields of papers citing papers by Rosa Palmiero
This network shows the impact of papers produced by Rosa Palmiero. 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 Rosa Palmiero. The network helps show where Rosa Palmiero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rosa Palmiero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 9 | |
| 2 | 2022 | 13 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 3 | |
| 8 | 2019 | 0 | |
| 9 | 2004 | 6 | |
| 10 | 2003 | 66 | |
| 11 | 2003 | 8 | |
| 12 | 2003 | 0 | |
| 13 | 2003 | 7 | |
| 14 | 2003 | 3 | |
| 15 | 2002 | 3 | |
| 16 | 2002 | 13 | |
| 17 | 2001 | 7 | |
| 18 | 2001 | 7 | |
| 19 | 2001 | 7 | |
| 20 | 2001 | 3 |
About Rosa Palmiero
Rosa Palmiero is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Radiation, having authored 22 papers that have together received 204 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), AI in cancer detection (7 papers), Brain Metastases and Treatment (6 papers), Digital Radiography and Breast Imaging (5 papers), Glioma Diagnosis and Treatment (4 papers), Colorectal Cancer Screening and Detection (4 papers), Advanced X-ray and CT Imaging (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Genetics (46 citations), Artificial Intelligence (97 citations) and Radiology, Nuclear Medicine and Imaging (61 citations). Rosa Palmiero has collaborated with scholars based in Italy. Frequent co-authors include Alessia Pellerino, Roberta Rudà, Francesco Bruno, Riccardo Soffietti, S Catarzi, Gabriella Risso, Rita Bonardi, Pietro L. Indovina, Maria Evelina Fantacci and Marco Rosselli Del Turco. Their work appears in journals such as Cancers, Neuro-Oncology and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.