Kamel Hamrouni
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
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- Radiomics and Machine Learning in Medical Imaging
- Infrared Thermography in Medicine
Papers in
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- Medical Image Segmentation Techniques 24
- Image Retrieval and Classification Techniques 16
- Advanced Image and Video Retrieval Techniques 8
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- AI in cancer detection 13
- Semantic Web and Ontologies 5
- Co-authors
- Hela Mahersia (15 shared papers)Sami Bourouis (8 shared papers)Basel Solaiman (10 shared papers)Nizar Bouguila (3 shared papers)Noureddine Ellouze (3 shared papers)Nawrès Khlifa (7 shared papers)Vincent Gay‐Bellile (3 shared papers)Adrien Bartoli (3 shared papers)
In The Last Decade
Kamel Hamrouni
59 papers receiving 366 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 207
- Radiology, Nuclear Medicine and Imaging 114
- Neurology 39
- Artificial Intelligence 150
- Media Technology 39
Countries citing papers authored by Kamel Hamrouni
This map shows the geographic impact of Kamel Hamrouni'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 Kamel Hamrouni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamel Hamrouni more than expected).
Fields of papers citing papers by Kamel Hamrouni
This network shows the impact of papers produced by Kamel Hamrouni. 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 Kamel Hamrouni. The network helps show where Kamel Hamrouni may publish in the future.
Co-authors
The 20 scholars most cited alongside Kamel Hamrouni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 33 | |
| 2 | 2013 | 33 | |
| 3 | 2014 | 24 | |
| 4 | 2018 | 20 | |
| 5 | 2014 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2008 | 15 | |
| 8 | 2015 | 14 | |
| 9 | 2018 | 13 | |
| 10 | 2010 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2013 | 9 | |
| 13 | 2012 | 9 | |
| 14 | 2009 | 9 | |
| 15 | 2016 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2016 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2018 | 6 |
About Kamel Hamrouni
Kamel Hamrouni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing and Media Technology, having authored 68 papers that have together received 385 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (24 papers), Image Retrieval and Classification Techniques (16 papers), AI in cancer detection (13 papers), Biometric Identification and Security (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Image Fusion Techniques (5 papers), Semantic Web and Ontologies (5 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Radiology, Nuclear Medicine and Imaging (114 citations), Neurology (39 citations), Artificial Intelligence (150 citations) and Media Technology (39 citations). Kamel Hamrouni has collaborated with scholars based in Tunisia, France and Canada. Frequent co-authors include Hela Mahersia, Sami Bourouis, Basel Solaiman, Nizar Bouguila, Noureddine Ellouze, Nawrès Khlifa, Vincent Gay‐Bellile, Adrien Bartoli, Karim Saheb Ettabaâ and Patrick Sayd. Their work appears in journals such as Multimedia Tools and Applications, Computer Methods and Programs in Biomedicine, Engineering Applications of Artificial Intelligence, Knowledge Management Research & Practice and Computerized Medical Imaging and Graphics.
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.