Danielle Toussie

20 papers receiving 495 citations

Peers

Danielle Toussie
Comparison fields: 5 of 52
  • Health Informatics 26
  • Critical Care and Intensive Care Medicine 51
  • Infectious Diseases 172
  • Radiology, Nuclear Medicine and Imaging 202
  • Pulmonary and Respiratory Medicine 131
Replace Nicholas Voutsinas with:
Nicholas Voutsinas United States
Samuel Z. Maron United States
Chahinez Hani France
Séverine Dangeard France
Yinghua Zhong China
Peixin Qin China
Wouter M. van Everdingen Netherlands
Annette Johnstone United Kingdom
Ruth McStay United Kingdom
Young Kyung Lee South Korea
Danielle Toussie relative to Nicholas Voutsinas United States Nicholas Voutsinas's profile →
Citations per field
00.5×1.5×
Nicholas Voutsinas · 1×
Citations per year

Countries citing papers authored by Danielle Toussie

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Toussie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Toussie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Toussie Line = papers co-authored together Danielle Toussie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020261
2 202057
3 202049
4 202046
5 202125
6 202019
7 20208
8 20228
9 20207
10 20206
11 20244
12 20253
13 20213
14 20223
15 20232
16
Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images
20202
17 20212
18 20211
19 20241
20 20251

About Danielle Toussie

Danielle Toussie is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Internal Medicine and Infectious Diseases, having authored 21 papers that have together received 508 indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (5 papers), COVID-19 diagnosis using AI (4 papers), Pneumothorax, Barotrauma, Emphysema (4 papers), COVID-19 Clinical Research Studies (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Pericarditis and Cardiac Tamponade (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (26 citations), Critical Care and Intensive Care Medicine (51 citations), Infectious Diseases (172 citations), Radiology, Nuclear Medicine and Imaging (202 citations) and Pulmonary and Respiratory Medicine (131 citations). Danielle Toussie has collaborated with scholars based in United States and Israel. Frequent co-authors include Adam Jacobi, Michael S Chung, Adam Bernheim, Mark S. Finkelstein, Nicholas Voutsinas, Corey D. Eber, Samuel Z. Maron, Sayan Manna, Mario A. Cedillo and Yogesh Sean Gupta. Their work appears in journals such as Clinics in Chest Medicine, Radiology, Academic Emergency Medicine, Journal of Vascular and Interventional Radiology and Radiology Cardiothoracic Imaging.

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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