Séverine Dangeard

780 total citations · 1 hit paper
6 papers, 376 citations indexed

About

Séverine Dangeard is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Séverine Dangeard has authored 6 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Infectious Diseases and 2 papers in Biomedical Engineering. Recurrent topics in Séverine Dangeard's work include COVID-19 Clinical Research Studies (4 papers), COVID-19 diagnosis using AI (4 papers) and Advanced X-ray and CT Imaging (2 papers). Séverine Dangeard is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), COVID-19 diagnosis using AI (4 papers) and Advanced X-ray and CT Imaging (2 papers). Séverine Dangeard collaborates with scholars based in France and Switzerland. Séverine Dangeard's co-authors include Guillaume Chassagnon, Souhail Bennani, Inès Saab, Marie‐Pierre Revel, Marie‐Pierre Revel, Mickaël Tordjman, Katharina Martini, Cheng‐Chao Ruan, Enora Guillo and Jung Won Moon and has published in prestigious journals such as European Journal of Radiology, Diagnostic and Interventional Imaging and Radiology Cardiothoracic Imaging.

In The Last Decade

Séverine Dangeard

6 papers receiving 368 citations

Hit Papers

COVID-19 pneumonia: A review of typical CT findings and d... 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. COVID-19 pneumonia: A review of typical CT findings and differential diagnosis
    2020 297 citations Inès Saab, Séverine Dangeard et al. Diagnostic and Interventional Imaging profile →

Peers

Séverine Dangeard
Lesheng Huang China
Cunxue Pan China
Shubo Cai China
Yinghua Zhong China
Danielle Toussie United States
Alessio Paschè Italy
Young Kyung Lee South Korea
Yogesh Sean Gupta United States
Lesheng Huang China
Séverine Dangeard
Citations per year, relative to Séverine Dangeard Séverine Dangeard (= 1×) peers Lesheng Huang

Countries citing papers authored by Séverine Dangeard

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Dangeard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Séverine Dangeard

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

All Works

6 of 6 papers shown
1.
Chassagnon, Guillaume, et al.. (2021). Is COVID-19 pneumonia differentiable from other viral pneumonia on CT scan?. Respiratory Medicine and Research. 79. 100824–100824. 4 indexed citations
2.
Saab, Inès, Séverine Dangeard, Souhail Bennani, et al.. (2020). Incidental diagnosis of Covid-19 pneumonia on chest computed tomography. Diagnostic and Interventional Imaging. 101(7-8). 457–461. 8 indexed citations
3.
Saab, Inès, et al.. (2020). COVID-19 pneumonia: A review of typical CT findings and differential diagnosis. Diagnostic and Interventional Imaging. 101(5). 263–268. 297 indexed citations breakdown →
4.
Martini, Katharina, Jung Won Moon, Marie‐Pierre Revel, et al.. (2020). Optimization of acquisition parameters for reduced-dose thoracic CT: A phantom study. Diagnostic and Interventional Imaging. 101(5). 269–279. 25 indexed citations
5.
Guillo, Enora, Séverine Dangeard, Souhail Bennani, et al.. (2020). COVID-19 pneumonia: Diagnostic and prognostic role of CT based on a retrospective analysis of 214 consecutive patients from Paris, France. European Journal of Radiology. 131. 109209–109209. 36 indexed citations
6.
Chassagnon, Guillaume, Evangelia I. Zacharaki, Sébastien Bommart, et al.. (2020). Quantification of Cystic Fibrosis Lung Disease with Radiomics-based CT Scores. Radiology Cardiothoracic Imaging. 2(6). e200022–e200022. 6 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.

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