Nor-Eddine Regnard

682 total citations
13 papers, 413 citations indexed

About

Nor-Eddine Regnard is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Nor-Eddine Regnard has authored 13 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in Nor-Eddine Regnard's work include Artificial Intelligence in Healthcare and Education (5 papers), Radiology practices and education (5 papers) and Lower Extremity Biomechanics and Pathologies (2 papers). Nor-Eddine Regnard is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), Radiology practices and education (5 papers) and Lower Extremity Biomechanics and Pathologies (2 papers). Nor-Eddine Regnard collaborates with scholars based in France, United States and Switzerland. Nor-Eddine Regnard's co-authors include Alexis Ducarouge, Ali Guermazi, Aloïs Pourchot, André Gillibert, Daichi Hayashi, Andrew J. Kompel, Louis Lassalle, A. Feydy, Chadi Tannoury and Youmna Lahoud and has published in prestigious journals such as Radiology, European Radiology and European Journal of Radiology.

In The Last Decade

Nor-Eddine Regnard

12 papers receiving 404 citations

Peers

Nor-Eddine Regnard
Nor-Eddine Regnard
Citations per year, relative to Nor-Eddine Regnard Nor-Eddine Regnard (= 1×) peers Alexis Ducarouge

Countries citing papers authored by Nor-Eddine Regnard

Since Specialization
Citations

This map shows the geographic impact of Nor-Eddine Regnard'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 Nor-Eddine Regnard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nor-Eddine Regnard more than expected).

Fields of papers citing papers by Nor-Eddine Regnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nor-Eddine Regnard. 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 Nor-Eddine Regnard. The network helps show where Nor-Eddine Regnard may publish in the future.

Co-authorship network of co-authors of Nor-Eddine Regnard

This figure shows the co-authorship network connecting the top 25 collaborators of Nor-Eddine Regnard. A scholar is included among the top collaborators of Nor-Eddine Regnard 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 Nor-Eddine Regnard. Nor-Eddine Regnard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Lassalle, Louis, Nor-Eddine Regnard, Vincent Marty, et al.. (2024). Evaluation of a deep learning software for automated measurements on full-leg standing radiographs. Knee Surgery and Related Research. 36(1). 40–40. 1 indexed citations
2.
Hayashi, Daichi, Nor-Eddine Regnard, Vincent Marty, et al.. (2024). Deep learning algorithm enables automated Cobb angle measurements with high accuracy. Skeletal Radiology. 54(7). 1469–1478. 1 indexed citations
3.
Lassalle, Louis, Nor-Eddine Regnard, Vincent Marty, et al.. (2024). Automated weight-bearing foot measurements using an artificial intelligence–based software. Skeletal Radiology. 54(2). 229–241. 3 indexed citations
4.
Lassalle, Louis, Nor-Eddine Regnard, Vincent Marty, et al.. (2024). Validation of AI-driven measurements for hip morphology assessment. European Journal of Radiology. 183. 111911–111911.
5.
Guermazi, Ali, Patrick Omoumi, Mickaël Tordjman, et al.. (2024). How AI May Transform Musculoskeletal Imaging. Radiology. 310(1). e230764–e230764. 20 indexed citations
6.
Bennani, Souhail, Nor-Eddine Regnard, Louis Lassalle, et al.. (2023). Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs. Radiology. 309(3). e230860–e230860. 35 indexed citations
7.
Ducarouge, Alexis, et al.. (2023). High performance for bone age estimation with an artificial intelligence solution. Diagnostic and Interventional Imaging. 104(7-8). 330–336. 14 indexed citations
8.
Chassagnon, Guillaume, et al.. (2023). Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation. European Radiology. 33(11). 8241–8250. 12 indexed citations
9.
Regnard, Nor-Eddine, Alexis Ducarouge, Louis Lassalle, et al.. (2022). Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays. European Journal of Radiology. 154. 110447–110447. 27 indexed citations
10.
Hayashi, Daichi, et al.. (2022). Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning. Skeletal Radiology. 51(11). 2129–2139. 37 indexed citations
11.
Duron, Loïc, Alexis Ducarouge, André Gillibert, et al.. (2021). Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study. Radiology. 300(1). 120–129. 96 indexed citations
12.
Guermazi, Ali, Chadi Tannoury, Andrew J. Kompel, et al.. (2021). Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence. Radiology. 302(3). 627–636. 162 indexed citations
13.
Ferrero, Emmanuelle, Marc Khalifé, Nor-Eddine Regnard, et al.. (2019). Do Curve Characteristics Influence Stenosis Location and Occurrence of Radicular Pain in Adult Degenerative Scoliosis?. Spine Deformity. 7(3). 472–480. 5 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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