Farida Chériet

166 papers receiving 2.9k citations

Peers

Farida Chériet
Comparison fields: 5 of 130
  • Ophthalmology 404
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Computer Vision and Pattern Recognition 703
  • Surgery 1.1k
  • Health Informatics 25
Replace Jian Yang with:
Jian Yang China
Theo van Walsum Netherlands
Mathias Unberath United States
Gábor Fichtinger Canada
Fahmi Khalifa United States
Xin Yang China
Nobuhiko Hata United States
Enrico Grisan Italy
Ivana Išgum Netherlands
Ichiro Sakuma Japan
Farida Chériet relative to Jian Yang China Jian Yang's profile →
Citations per field
00.5×3.7×
Jian Yang · 1×
Citations per year

Countries citing papers authored by Farida Chériet

Since Specialization
Citations

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

Fields of papers citing papers by Farida Chériet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Farida Chériet, 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 Farida Chériet Line = papers co-authored together Farida Chériet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015206
2 2012154
3 2010102
4 201798
5 200774
6 201971
7 201369
8 200769
9 200564
10 201064
11 200863
12 201161
13 200758
14 200657
15 200857
16 201257
17 202255
18 200753
19 201852
20 201651

About Farida Chériet

Farida Chériet is a scholar working on Surgery, Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 179 papers that have together received 3.0k indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (66 papers), Medical Imaging and Analysis (47 papers), Medical Image Segmentation Techniques (33 papers), Retinal Imaging and Analysis (26 papers), Spinal Fractures and Fixation Techniques (21 papers), 3D Shape Modeling and Analysis (17 papers), Glaucoma and retinal disorders (16 papers) and Retinal Diseases and Treatments (13 papers). The work is most often cited by research in Ophthalmology (404 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Computer Vision and Pattern Recognition (703 citations), Surgery (1.1k citations) and Health Informatics (25 citations). Farida Chériet has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Hubert Labelle, Lama Séoud, Luc Duong, Samuel Kadoury, Thomas Hurtut, J. M. Pierre Langlois, Carole Fortin, Debbie Ehrmann Feldman, Hervé Lombaert and Nicholas Ayache. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Computerized Medical Imaging and Graphics, Computers in Biology and Medicine, IEEE Transactions on Medical Imaging and IEEE Journal of Biomedical and Health Informatics.

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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