Francesca Gallivanone

2.7k citations
51 papers · 1.9k · 1 hit paper · h-index 21

Impact in

Papers in

Francesca Gallivanone

49 papers receiving 1.9k citations

Francesca Gallivanone's Hit Papers

AI applications to medical images: From machine learning to deep learning 2021 · 412 citations
4120+1+3Years since publication100200300400

Peers

Francesca Gallivanone
Comparison fields: 5 of 144
  • Health Informatics 78
  • Radiology, Nuclear Medicine and Imaging 947
  • Neurology 300
  • Psychiatry and Mental health 240
  • Neurology 120
Replace Hongyoon Choi with:
Hongyoon Choi South Korea
Marco Aiello Italy
Vincent Noblet France
Yangming Ou United States
Zhongxiang Ding China
Woo Hyun Shim South Korea
Roger Tam Canada
Guangbin Cui China
Shohei Fujita Japan
Tomoyuki Noguchi Japan
Francesca Gallivanone relative to Hongyoon Choi South Korea Hongyoon Choi's profile →
Citations per field
00.5×2.8×
Hongyoon Choi · 1×
Citations per year

Countries citing papers authored by Francesca Gallivanone

Since Specialization
Citations

This map shows the geographic impact of Francesca Gallivanone'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 Francesca Gallivanone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Gallivanone more than expected).

Fields of papers citing papers by Francesca Gallivanone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Gallivanone. 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 Francesca Gallivanone. The network helps show where Francesca Gallivanone may publish in the future.

Co-authors

The 25 scholars most cited alongside Francesca Gallivanone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Gallivanone Line = papers co-authored together Francesca Gallivanone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AI applications to medical images: From machine learning to deep learning
Hit paper breakdown →
2021412
2 2014244
3 2013201
4 2014172
5 202173
6 201359
7 201758
8 201753
9 201348
10 201643
11 202136
12 201334
13 201734
14 201132
15 201928
16 201327
17 201426
18 201826
19 202125
20 201924

About Francesca Gallivanone

Francesca Gallivanone is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Molecular Biology and Cancer Research, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Medical Imaging Techniques and Applications (25 papers), Advanced X-ray and CT Imaging (10 papers), MRI in cancer diagnosis (5 papers), MicroRNA in disease regulation (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Health Informatics (78 citations), Radiology, Nuclear Medicine and Imaging (947 citations), Neurology (300 citations), Psychiatry and Mental health (240 citations) and Neurology (120 citations). Francesca Gallivanone has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Isabella Castiglioni, Christian Salvatore, Matteo Interlenghi, Maria Carla Gilardi, Pasquale Anthony Della Rosa, Luigi Gianolli, Francesco Sardanelli, Giovanni Di Leo, Natascha Claudia D’Amico and Andrea Cozzi. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Contrast Media & Molecular Imaging, International Journal of Molecular Sciences, Physica Medica and Journal of Neurology.

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.

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