Daniela Bernardi

5.3k total citations · 1 hit paper
110 papers, 3.0k citations indexed

About

Daniela Bernardi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence. According to data from OpenAlex, Daniela Bernardi has authored 110 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Pulmonary and Respiratory Medicine, 44 papers in Oncology and 26 papers in Artificial Intelligence. Recurrent topics in Daniela Bernardi's work include Digital Radiography and Breast Imaging (30 papers), AI in cancer detection (26 papers) and Global Cancer Incidence and Screening (22 papers). Daniela Bernardi is often cited by papers focused on Digital Radiography and Breast Imaging (30 papers), AI in cancer detection (26 papers) and Global Cancer Incidence and Screening (22 papers). Daniela Bernardi collaborates with scholars based in Italy, Australia and United Kingdom. Daniela Bernardi's co-authors include Nehmat Houssami, Marco Pellegrini, Marvi Valentini, Carmine Fantò, Petra Macaskill, Stefano Ciatto, Francesca Caumo, Silvia Brunelli, Umberto Tirelli and Paola Bricolo and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Daniela Bernardi

103 papers receiving 2.9k citations

Hit Papers

Integration of 3D digital mammography with tomosynthesis ... 2013 2026 2017 2021 2013 200 400 600

Peers

Daniela Bernardi
Comparison fields: 5 of 120
  • Pulmonary and Respiratory Medicine 1.6k
  • Artificial Intelligence 1.2k
  • Oncology 1.1k
  • Radiology, Nuclear Medicine and Imaging 971
  • Pathology and Forensic Medicine 481
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Citations per field, relative to Daniela Bernardi
Daniela Bernardi · 1×
Citations per year, relative to Daniela Bernardi
Daniela Bernardi · 1×

Countries citing papers authored by Daniela Bernardi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Bernardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Bernardi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Bernardi. A scholar is included among the top collaborators of Daniela 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 Daniela Bernardi. Daniela 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
# Work Indexed citations
1 0
2 1
3 1
4 1
5 1
6 2
7 17
8 24
9 33
10 19
11 39
12 11
13 1
14 31
15 10
16 1
17 67
18 23
19 39
20 3

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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