Valeria Romeo
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Obstetrics and Gynecology top 2%
- Artificial Intelligence top 5%
- Co-authors
- Arnaldo StanzioneRenato CuocoloArturo BrunettiSimone MaureaFrancesco VerdeLorenzo UggaPier Paolo MainentiMassimo Imbriaco
- Topics
- Radiomics and Machine Learning in Medical Imaging (40 papers)MRI in cancer diagnosis (26 papers)Medical Imaging Techniques and Applications (15 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaSpine
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Valeria Romeo
102 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 108
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 513
- Surgery 359
- Obstetrics and Gynecology 318
- Artificial Intelligence 247
Countries citing papers authored by Valeria Romeo
This map shows the geographic impact of Valeria Romeo'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 Valeria Romeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria Romeo more than expected).
Fields of papers citing papers by Valeria Romeo
This network shows the impact of papers produced by Valeria Romeo. 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 Valeria Romeo. The network helps show where Valeria Romeo may publish in the future.
Co-authorship network of co-authors of Valeria Romeo
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Romeo. A scholar is included among the top collaborators of Valeria Romeo 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 Valeria Romeo. Valeria Romeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 44 | |
| 10 | 38 | |
| 11 | 62 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 80 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 16 | |
| 20 | 1 |
About Valeria Romeo
Valeria Romeo is a scholar working on Health Informatics, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (40 papers), MRI in cancer diagnosis (26 papers) and Medical Imaging Techniques and Applications (15 papers). The work is most often cited by research in Health Informatics (96 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Obstetrics and Gynecology (318 citations). Valeria Romeo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Arnaldo Stanzione, Renato Cuocolo, Arturo Brunetti, Simone Maurea, Francesco Verde, Lorenzo Ugga, Pier Paolo Mainenti, Massimo Imbriaco, Andrea Ponsiglione and Massimo Imbriaco. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Spine.
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.