Flavio Cesare Bodini

797 citations
16 papers · 439 indexed · h-index 7
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Ultrasound in Clinical Applications (3 papers)COVID-19 diagnosis using AI (3 papers)
Partner nations
ItalyAustraliaSri Lanka

In The Last Decade

Flavio Cesare Bodini

14 papers receiving 431 citations

Peers

Flavio Cesare Bodini
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 241
  • Infectious Diseases 208
  • Pulmonary and Respiratory Medicine 129
  • Neurology 96
  • Oncology 84
Replace Emanuele Michieletti with:
Emanuele Michieletti Italy
Marcello Petrini Italy
Giorgio Maria Masci Italy
Gabriele Maffi Italy
Davide Colombi Italy
Peixin Qin China
Yinghua Zhong China
Dong Sun China
Maurizio Balbi Italy
Souhail Bennani France
Flavio Cesare Bodini relative to Emanuele Michieletti Italy Emanuele Michieletti's profile →
Citations per field
00.5×1.5×
Emanuele Michieletti · 1×
Citations per year

Countries citing papers authored by Flavio Cesare Bodini

Since Specialization
Citations

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

Fields of papers citing papers by Flavio Cesare Bodini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flavio Cesare Bodini. 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 Flavio Cesare Bodini. The network helps show where Flavio Cesare Bodini may publish in the future.

Co-authorship network of co-authors of Flavio Cesare Bodini

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 0
3 5
4 6
5 39
6 25
7 0
8 18
9 313
10 2
11 1
12 1
13 16
14 4
15 6
16 1

About Flavio Cesare Bodini

Flavio Cesare Bodini is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 439 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Ultrasound in Clinical Applications (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (79 citations), Health Informatics (17 citations) and Infectious Diseases (208 citations). Flavio Cesare Bodini has collaborated with scholars based in Italy, Australia and Sri Lanka. Frequent co-authors include Davide Colombi, Emanuele Michieletti, Nicola Sverzellati, Mario Silva, Nicola Morelli, Marcello Petrini, Gianluca Milanese, Gabriele Maffi, Beatrice Rossi and Emanuele Michieletti. Their work appears in journals such as Neurology, Radiology and Annals of the Rheumatic Diseases.

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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