Francesca Marturano

467 total citations
22 papers, 186 citations indexed

About

Francesca Marturano is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Francesca Marturano has authored 22 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Francesca Marturano's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced X-ray and CT Imaging (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Francesca Marturano is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced X-ray and CT Imaging (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Francesca Marturano collaborates with scholars based in Italy, United States and Switzerland. Francesca Marturano's co-authors include Marta Paiusco, Giovanni Sparacino, Andrea Bettinelli, Giacomo Cappon, Andrea Facchinetti, Martina Vettoretti, Laura Evangelista, Priscilla Guglielmo, Michele Gregianin and Marco Baiesi and has published in prestigious journals such as Scientific Reports, Radiology and Radiotherapy and Oncology.

In The Last Decade

Francesca Marturano

15 papers receiving 184 citations

Peers

Francesca Marturano
Comparison fields: 5 of 40
  • Radiology, Nuclear Medicine and Imaging 93
  • Endocrinology, Diabetes and Metabolism 65
  • Pulmonary and Respiratory Medicine 58
  • Surgery 47
  • Biomedical Engineering 34
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Aleena Notary United States
Wonho Lee South Korea
Jan Walter Benjamins Netherlands
Laura Kerschke Germany
Bertrand Pouymayou Switzerland
David Thayer United States
Suqin Li China
Antti Eranti Finland
Jakub Gazda Slovakia
Eva Nyktari United Kingdom
Aleena Notary United States View profile →
Citations per field, relative to Francesca Marturano
Francesca Marturano · 1×
Citations per year, relative to Francesca Marturano
Francesca Marturano · 1×

Countries citing papers authored by Francesca Marturano

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Marturano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Marturano

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 0
6 4
7 4
8 5
9 7
10 0
11 37
12 21
13 2
14 0
15 3
16 4
17 3
18 16
19 1
20 1

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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