Nawrès Khlifa
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Neurology
- Co-authors
- Rostom MabroukKamel HamrouniNoureddine EllouzeDjamel BenmerzougHedi TabiaBelkacem ChikhaouiFrançois BrémondHaithem Hermessi
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)Image and Signal Denoising Methods (12 papers)Retinal Imaging and Analysis (11 papers)
In The Last Decade
Nawrès Khlifa
54 papers receiving 495 citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 262
- Artificial Intelligence 120
- Computer Vision and Pattern Recognition 112
- Pulmonary and Respiratory Medicine 110
- Neurology 76
Countries citing papers authored by Nawrès Khlifa
This map shows the geographic impact of Nawrès Khlifa'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 Nawrès Khlifa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nawrès Khlifa more than expected).
Fields of papers citing papers by Nawrès Khlifa
This network shows the impact of papers produced by Nawrès Khlifa. 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 Nawrès Khlifa. The network helps show where Nawrès Khlifa may publish in the future.
Co-authorship network of co-authors of Nawrès Khlifa
This figure shows the co-authorship network connecting the top 25 collaborators of Nawrès Khlifa. A scholar is included among the top collaborators of Nawrès Khlifa 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 Nawrès Khlifa. Nawrès Khlifa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 61 | |
| 15 | 7 | |
| 16 | 15 | |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 26 | |
| 20 | ASM+D: Nouveau modèle de formes actives intégrant une relation spatiale de distance | 1 |
About Nawrès Khlifa
Nawrès Khlifa is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Media Technology, having authored 60 papers that have together received 524 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Image and Signal Denoising Methods (12 papers) and Retinal Imaging and Analysis (11 papers). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (262 citations) and Media Technology (49 citations). Nawrès Khlifa has collaborated with scholars based in Tunisia, France and Algeria. Frequent co-authors include Rostom Mabrouk, Kamel Hamrouni, Noureddine Ellouze, Djamel Benmerzoug, Hedi Tabia, Belkacem Chikhaoui, François Brémond, Haithem Hermessi, Désiré Sidibé and Aladine Chetouani. Their work appears in journals such as IEEE Access, Applied Soft Computing and Biomedical Signal Processing and Control.
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.