Katia Charrière
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 2%
- Computer Vision and Pattern Recognition top 5%
- Health Information Management top 2%
- Surgery
- Co-authors
- Béatrice CochenerMathieu LamardGwenolé QuellecGuy CazuguelGouenou CoatrieuxChristian RouxÉric FontaineAlexandre Moreau–Gaudry
- Topics
- Retinal Imaging and Analysis (4 papers)Nutrition and Health in Aging (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaMedical PhysicsClinical Nutrition
- Partner nations
- France
In The Last Decade
Katia Charrière
14 papers receiving 445 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 335
- Ophthalmology 247
- Computer Vision and Pattern Recognition 189
- Health Information Management 77
- Surgery 65
Countries citing papers authored by Katia Charrière
This map shows the geographic impact of Katia Charrière'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 Katia Charrière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia Charrière more than expected).
Fields of papers citing papers by Katia Charrière
This network shows the impact of papers produced by Katia Charrière. 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 Katia Charrière. The network helps show where Katia Charrière may publish in the future.
Co-authorship network of co-authors of Katia Charrière
This figure shows the co-authorship network connecting the top 25 collaborators of Katia Charrière. A scholar is included among the top collaborators of Katia Charrière 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 Katia Charrière. Katia Charrière is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | Deep image mining for diabetic retinopathy screeningbreakdown → | 329 |
| 8 | 28 | |
| 9 | 18 | |
| 10 | 7 | |
| 11 | Automated Surgical Step Recognition in Normalized Cataract Surgery Videos | 1 |
| 12 | 34 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 16 |
About Katia Charrière
Katia Charrière is a scholar working on Geriatrics and Gerontology, Computer Vision and Pattern Recognition and Ophthalmology, having authored 15 papers that have together received 462 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (4 papers), Nutrition and Health in Aging (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Ophthalmology (247 citations), Health Information Management (77 citations) and Radiology, Nuclear Medicine and Imaging (335 citations). Katia Charrière has collaborated with scholars based in France. Frequent co-authors include Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec, Guy Cazuguel, Gouenou Coatrieux, Christian Roux, Éric Fontaine, Alexandre Moreau–Gaudry, Cécile Betry and G. Ferretti. Their work appears in journals such as SHILAP Revista de lepidopterología, Medical Physics and Clinical Nutrition.
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.