Elisabetta De Bernardi

989 citations
60 papers · 530 indexed · h-index 13
Topics
Medical Imaging Techniques and Applications (36 papers)Radiomics and Machine Learning in Medical Imaging (26 papers)Advanced X-ray and CT Imaging (15 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsFrontiers in Immunology

In The Last Decade

Elisabetta De Bernardi

56 papers receiving 524 citations

Peers

Elisabetta De Bernardi
Comparison fields: 5 of 89
  • Radiology, Nuclear Medicine and Imaging 382
  • Pulmonary and Respiratory Medicine 124
  • Biomedical Engineering 118
  • Radiation 96
  • Oncology 49
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Citations per field
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Citations per year

Countries citing papers authored by Elisabetta De Bernardi

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta De Bernardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisabetta De Bernardi. 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 Elisabetta De Bernardi. The network helps show where Elisabetta De Bernardi may publish in the future.

Co-authorship network of co-authors of Elisabetta De Bernardi

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta De Bernardi. A scholar is included among the top collaborators of Elisabetta De Bernardi 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 Elisabetta De Bernardi. Elisabetta De Bernardi 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
#WorkIndexed citations
1 0
2 5
3 15
4 4
5 0
6 3
7 6
8 12
9 2
10 1
11 1
12 2
13 6
14
Iterative joint segmentation and quantification of oncological lesions in PET-CT
0
15
PET-based dosimetry in particle therapy: assessing the feasibility of regional MLEM reconstruction as a quantification tool
1
16 7
17 18
18 5
19 2
20
A maximum likelihood quantification strategy for oncological Positron Emission Tomography
0

About Elisabetta De Bernardi

Elisabetta De Bernardi is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Structural Biology, having authored 60 papers that have together received 530 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (36 papers), Radiomics and Machine Learning in Medical Imaging (26 papers) and Advanced X-ray and CT Imaging (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (382 citations), Radiation (96 citations) and Obstetrics and Gynecology (42 citations). Elisabetta De Bernardi has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Valentino Bettinardi, Maria Carla Gilardi, Isabella Castiglioni, Giuseppe Baselli, Felicia Zito, Luca Presotto, Cristina Messa, Claudio Landoni, Cinzia Crivellaro and Luca Guerra. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

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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