Imane Nedjar
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Image Retrieval and Classification Techniques 3
- Advanced Image and Video Retrieval Techniques 2
- Medical Image Segmentation Techniques 1
-
- AI in cancer detection 3
- Co-authors
- Saïd Mahmoudi (4 shared papers)Mostafa El Habib Daho (1 shared paper)Nesma Settouti (1 shared paper)Mohammed Amine Chikh (2 shared papers)
- Journals
- JAMA Network Open (1 paper)Education and Information Technologies (1 paper)Journal of Mechanics in Medicine and Biology (1 paper)International Journal of Biomedical Engineering and Technology (1 paper)Lung India (1 paper)
- Partner nations
- AlgeriaBelgiumUnited States
In The Last Decade
Imane Nedjar
9 papers receiving 331 citations
Imane Nedjar's Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 76
- Radiology, Nuclear Medicine and Imaging 158
- Artificial Intelligence 202
- Health Information Management 9
- Pulmonary and Respiratory Medicine 45
Countries citing papers authored by Imane Nedjar
This map shows the geographic impact of Imane Nedjar'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 Imane Nedjar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imane Nedjar more than expected).
Fields of papers citing papers by Imane Nedjar
This network shows the impact of papers produced by Imane Nedjar. 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 Imane Nedjar. The network helps show where Imane Nedjar may publish in the future.
Co-authors
The 4 scholars most cited alongside Imane Nedjar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms Hit paper breakdown → | 2020 | 306 |
| 2 | 2015 | 17 | |
| 3 | 2024 | 6 | |
| 4 | Automatic Annotation of Liver CT Image: ImageCLEFmed 2015 | 2015 | 4 |
| 5 | 2024 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2017 | 2 | |
| 9 | 2022 | 2 |
About Imane Nedjar
Imane Nedjar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 9 papers that have together received 346 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), AI in cancer detection (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Gene expression and cancer classification (1 paper), Hand Gesture Recognition Systems (1 paper), Vitamin D Research Studies (1 paper), Medical Image Segmentation Techniques (1 paper) and Ergonomics and Musculoskeletal Disorders (1 paper). The work is most often cited by research in Health Informatics (76 citations), Radiology, Nuclear Medicine and Imaging (158 citations), Artificial Intelligence (202 citations), Health Information Management (9 citations) and Pulmonary and Respiratory Medicine (45 citations). Imane Nedjar has collaborated with scholars based in Algeria, Belgium and United States. Frequent co-authors include Saïd Mahmoudi, Mostafa El Habib Daho, Nesma Settouti and Mohammed Amine Chikh. Their work appears in journals such as JAMA Network Open, Education and Information Technologies, Journal of Mechanics in Medicine and Biology, International Journal of Biomedical Engineering and Technology and Lung India.
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.