Cristina Campi
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Astronomy and Astrophysics top 10%
- Oncology
- Cognitive Neuroscience top 10%
- Co-authors
- Michele PianaAnna Maria MassoneFederico BenvenutoAlberto SorrentinoAnnalisa PascarellaFrancesco MarchettiGianmario SambucetiDiego Cecchin
- Topics
- Radiomics and Machine Learning in Medical Imaging (18 papers)Medical Imaging Techniques and Applications (8 papers)Solar Radiation and Photovoltaics (6 papers)
In The Last Decade
Cristina Campi
80 papers receiving 800 citations
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 224
- Artificial Intelligence 164
- Astronomy and Astrophysics 128
- Oncology 114
- Cognitive Neuroscience 113
Countries citing papers authored by Cristina Campi
This map shows the geographic impact of Cristina Campi'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 Cristina Campi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Campi more than expected).
Fields of papers citing papers by Cristina Campi
This network shows the impact of papers produced by Cristina Campi. 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 Cristina Campi. The network helps show where Cristina Campi may publish in the future.
Co-authorship network of co-authors of Cristina Campi
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Campi. A scholar is included among the top collaborators of Cristina Campi 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 Cristina Campi. Cristina Campi 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 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 23 | |
| 10 | 7 | |
| 11 | 17 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 48 | |
| 16 | 17 | |
| 17 | 15 | |
| 18 | 39 | |
| 19 | 34 | |
| 20 | [Fruit preservation, fundamental basis in candying process] | 1 |
About Cristina Campi
Cristina Campi is a scholar working on Health Informatics, Family Practice and Radiology, Nuclear Medicine and Imaging, having authored 87 papers that have together received 840 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Medical Imaging Techniques and Applications (8 papers) and Solar Radiation and Photovoltaics (6 papers). The work is most often cited by research in Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (224 citations) and Astronomy and Astrophysics (128 citations). Cristina Campi has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Michele Piana, Anna Maria Massone, Federico Benvenuto, Alberto Sorrentino, Annalisa Pascarella, Francesco Marchetti, Gianmario Sambuceti, Diego Cecchin, Filippo Crimì and Pietro Avanzini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Astrophysical Journal.
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.