Francesca Gallivanone

2.7k total citations · 1 hit paper
51 papers, 1.9k citations indexed

About

Francesca Gallivanone is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Francesca Gallivanone has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 10 papers in Biomedical Engineering. Recurrent topics in Francesca Gallivanone's work include Radiomics and Machine Learning in Medical Imaging (26 papers), Medical Imaging Techniques and Applications (25 papers) and Advanced X-ray and CT Imaging (10 papers). Francesca Gallivanone is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (26 papers), Medical Imaging Techniques and Applications (25 papers) and Advanced X-ray and CT Imaging (10 papers). Francesca Gallivanone collaborates with scholars based in Italy, United States and United Kingdom. Francesca Gallivanone's co-authors include Isabella Castiglioni, Christian Salvatore, Matteo Interlenghi, Maria Carla Gilardi, Pasquale Anthony Della Rosa, Luigi Gianolli, Andrea Cozzi, Marina Codari, Giovanni Di Leo and Leonardo Rundo and has published in prestigious journals such as Neurology, Remote Sensing of Environment and International Journal of Molecular Sciences.

In The Last Decade

Francesca Gallivanone

49 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AI applications to medical images: From machine learning to deep learning

2021 412 citations Isabella Castiglioni, Leonardo Rundo et al. Physica Medica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Francesca Gallivanone Italy	21	947	331	300	280	240	51	1.9k
Guangbin Cui China	29	1.2k 1.3×	283 0.9×	224 0.7×	268 1.0×	108 0.5×	116	2.6k
Marco Aiello Italy	30	1.2k 1.2×	363 1.1×	134 0.4×	209 0.7×	170 0.7×	129	2.7k
Hongyoon Choi South Korea	28	876 0.9×	396 1.2×	241 0.8×	195 0.7×	135 0.6×	139	2.4k
Jean‐Marc Constans France	27	1.0k 1.1×	267 0.8×	385 1.3×	233 0.8×	309 1.3×	128	2.6k
Roger Tam Canada	25	867 0.9×	167 0.5×	178 0.6×	129 0.5×	249 1.0×	115	2.2k
Woo Hyun Shim South Korea	23	1.0k 1.1×	153 0.5×	182 0.6×	110 0.4×	160 0.7×	103	1.9k
Curtis B. Caldwell Canada	20	966 1.0×	624 1.9×	159 0.5×	195 0.7×	223 0.9×	45	2.0k
Ingrid C. Sluimer Netherlands	10	713 0.8×	460 1.4×	134 0.4×	239 0.9×	249 1.0×	10	1.4k
Yangming Ou United States	24	1.1k 1.1×	278 0.8×	101 0.3×	145 0.5×	258 1.1×	95	2.5k
Vincent Noblet France	22	598 0.6×	192 0.6×	155 0.5×	123 0.4×	262 1.1×	94	1.6k

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-authorship network of co-authors of Francesca Gallivanone

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Gallivanone. A scholar is included among the top collaborators of Francesca Gallivanone 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 Francesca Gallivanone. Francesca Gallivanone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Villa, Paolo, Andrea Berton, Rossano Bolpagni, et al.. (2024). Exploring spectral and phylogenetic diversity links with functional structure of aquatic plant communities. Remote Sensing of Environment. 318. 114582–114582.

Porro, Danilo, et al.. (2024). Characterization of cell cycle, inflammation, and oxidative stress signaling role in non-communicable diseases: Insights into genetic variants, microRNAs and pathways. Computers in Biology and Medicine. 174. 108346–108346. 2 indexed citations

Berton, Andrea, et al.. (2024). Effects of functional type and angular configuration on reflectance anisotropy of aquatic vegetation in ultra-high resolution hyperspectral imagery. International Journal of Remote Sensing. 46(3). 909–929. 1 indexed citations

Berton, Andrea, Rossano Bolpagni, Michele Caccia, et al.. (2023). Impact of Radiometric Variability on Ultra-High Resolution Hyperspectral Imagery Over Aquatic Vegetation: Preliminary Results. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 5935–5950. 5 indexed citations

Gallivanone, Francesca, Daniela D’Ambrosio, P. Montagna, et al.. (2022). A tri-modal tissue-equivalent anthropomorphic phantom for PET, CT and multi-parametric MRI radiomics. Physica Medica. 98. 28–39. 11 indexed citations

Kirienko, Margarita, Martina Sollini, Emanuele Voulaz, et al.. (2021). Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer. European Journal of Nuclear Medicine and Molecular Imaging. 48(11). 3643–3655. 73 indexed citations

Fortunato, Francesco, Claudia Cava, Francesca Gallivanone, et al.. (2021). Circulating microRNAs as Potential Novel Diagnostic Biomarkers to Predict Drug Resistance in Temporal Lobe Epilepsy: A Pilot Study. International Journal of Molecular Sciences. 22(2). 702–702. 36 indexed citations

Castiglioni, Isabella, Leonardo Rundo, Marina Codari, et al.. (2021). AI applications to medical images: From machine learning to deep learning. Physica Medica. 83. 9–24. 412 indexed citations breakdown →

Musazzi, Laura, Nathalie Sala, Paolo Tornese, et al.. (2019). Acute Inescapable Stress Rapidly Increases Synaptic Energy Metabolism in Prefrontal Cortex and Alters Working Memory Performance. Cerebral Cortex. 29(12). 4948–4957. 24 indexed citations

10.

Quaquarini, Erica, Daniela D’Ambrosio, Federico Sottotetti, et al.. (2019). Prognostic Value of ¹⁸F-Fluorocholine PET Parameters in Metastatic Castrate-Resistant Prostate Cancer Patients Treated with Docetaxel. Contrast Media & Molecular Imaging. 2019. 1–7. 5 indexed citations

11.

Castiglioni, Isabella, Francesca Gallivanone, Paolo Soda, et al.. (2019). AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics. European Journal of Nuclear Medicine and Molecular Imaging. 46(13). 2673–2699. 28 indexed citations

12.

Gallivanone, Francesca, Pasquale Anthony Della Rosa, Daniela Perani, Maria Carla Gilardi, & Isabella Castiglioni. (2017). The impact of different 18FDG PET healthy subject scans for comparison with single patient in SPM analysis. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 61(1). 115–132. 17 indexed citations

13.

Antunovic, Lidija, Francesca Gallivanone, Martina Sollini, et al.. (2017). [18F]FDG PET/CT features for the molecular characterization of primary breast tumors. European Journal of Nuclear Medicine and Molecular Imaging. 44(12). 1945–1954. 58 indexed citations

14.

Castiglioni, Isabella, Francesca Gallivanone, & Carla Canevari. (2016). Hybrid PET/MRI for in Vivo imaging of cancer: Current clinical experiences and recent advances. BOA (University of Milano-Bicocca). 1 indexed citations

15.

Gallivanone, Francesca, et al.. (2016). An anthropomorphic phantom for advanced image processing of realistic¹⁸F-FDG PET-CT oncological studies. 1–7. 1 indexed citations

16.

Rosa, Pasquale Anthony Della, Chiara Cerami, Francesca Gallivanone, et al.. (2014). A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia. Neuroinformatics. 12(4). 575–593. 244 indexed citations

17.

Canevari, Carla, Francesca Gallivanone, Veronica Zuber, et al.. (2014). Prone 18F-FDG PET/CT changes diagnostic and surgical intervention in a breast cancer patient: some considerations about PET/CT imaging acquisition protocol. Clinical Imaging. 39(3). 506–509. 6 indexed citations

18.

Picchio, Maria, Margarita Kirienko, Paola Mapelli, et al.. (2013). Predictive value of pre-therapy 18F-FDG PET/CT for the outcome of 18F-FDG PET-guided radiotherapy in patients with head and neck cancer. European Journal of Nuclear Medicine and Molecular Imaging. 41(1). 21–31. 59 indexed citations

19.

Gajate, Ana Maria Samanes, Stefano Sestini, Francesca Gallivanone, et al.. (2013). New positron emission tomography derived parameters as predictive factors for recurrence in resected stage I non-small cell lung cancer. European Journal of Surgical Oncology. 39(11). 1254–1261. 34 indexed citations

20.

Gallivanone, Francesca, Carla Canevari, Paola Mapelli, et al.. (2012). Relationship between <sup>18</sup>F-FDG PET SUV with Partial Volume Correction and Histology in Gastric and Gastro-Oesophageal Cancer. 2(3). 96–99. 1 indexed citations

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.

Explore authors with similar magnitude of impact