Michela Polici
- Radiology, Nuclear Medicine and Imaging top 2%
- Infectious Diseases top 5%
- Oncology top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Damiano CarusoAndrea LaghiMarta ZerunianFrancesco PucciarelliGisella GuidoBenedetta BracciTiziano PolidoriCarlotta Rucci
- Topics
- Radiomics and Machine Learning in Medical Imaging (22 papers)Advanced X-ray and CT Imaging (11 papers)Medical Imaging Techniques and Applications (6 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsCritical Care and Intensive Care Medicine
- Journals
- Scientific ReportsRadiologyNutrients
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Michela Polici
41 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 730
- Infectious Diseases 393
- Oncology 295
- Biomedical Engineering 204
- Pulmonary and Respiratory Medicine 194
Countries citing papers authored by Michela Polici
This map shows the geographic impact of Michela Polici'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 Michela Polici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Polici more than expected).
Fields of papers citing papers by Michela Polici
This network shows the impact of papers produced by Michela Polici. 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 Michela Polici. The network helps show where Michela Polici may publish in the future.
Co-authorship network of co-authors of Michela Polici
This figure shows the co-authorship network connecting the top 25 collaborators of Michela Polici. A scholar is included among the top collaborators of Michela Polici 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 Michela Polici. Michela Polici 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 | 1 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 42 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 39 | |
| 19 | 28 | |
| 20 | 13 |
About Michela Polici
Michela Polici is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Oncology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), Advanced X-ray and CT Imaging (11 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (730 citations), Health Informatics (31 citations) and Critical Care and Intensive Care Medicine (114 citations). Michela Polici has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Damiano Caruso, Andrea Laghi, Marta Zerunian, Francesco Pucciarelli, Gisella Guido, Benedetta Bracci, Tiziano Polidori, Carlotta Rucci, Chiara De Dominicis and Elsa Iannicelli. Their work appears in journals such as Scientific Reports, Radiology and Nutrients.
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.