Kamel Hamrouni
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology
- Media Technology top 10%
- Co-authors
- Hela MahersiaSami BourouisBasel SolaimanNizar BouguilaNoureddine EllouzeNawrès KhlifaVincent Gay‐BellilePatrick Sayd
- Topics
- Medical Image Segmentation Techniques (25 papers)Image Retrieval and Classification Techniques (16 papers)AI in cancer detection (13 papers)
In The Last Decade
Kamel Hamrouni
59 papers receiving 361 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 209
- Artificial Intelligence 149
- Radiology, Nuclear Medicine and Imaging 120
- Neurology 40
- 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-authorship network of co-authors of Kamel Hamrouni
This figure shows the co-authorship network connecting the top 25 collaborators of Kamel Hamrouni. A scholar is included among the top collaborators of Kamel Hamrouni 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 Kamel Hamrouni. Kamel Hamrouni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 33 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | Rotation- and scale-invariant texture classification using log-polar and ridgelet transforms | 1 |
| 18 | Using the Active Appearance Models for the Localisation of the Left Ventricle in Planar Scintigraphic Images. | 0 |
| 19 | 3 | |
| 20 | Two Methods for Analysis of Dynamic Scintigraphic Images of the Heart. | 5 |
About Kamel Hamrouni
Kamel Hamrouni is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 68 papers that have together received 382 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (25 papers), Image Retrieval and Classification Techniques (16 papers) and AI in cancer detection (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Radiology, Nuclear Medicine and Imaging (120 citations) and Neurology (40 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, Patrick Sayd, Adrien Bartoli and Karim Saheb Ettabaâ. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Engineering Applications of Artificial Intelligence and Multimedia Tools and Applications.
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.