Ahmed Kharrat
- Neurology top 5%
- Brain Tumor Detection and Classification 10
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- Medical Image Segmentation Techniques 7
- Advanced Neural Network Applications 5
- Image Retrieval and Classification Techniques 2
- Signal Processing top 10%
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- Neural Networks and Applications 3
- Machine Learning and ELM 2
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- Advanced Image Fusion Techniques 2
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- Advanced Computing and Algorithms 2
- Co-authors
- Mohamed AbidNacéra BenamraneKarine ZeitouniVincent OriaIulian Sandu PopaMahmoud NéjiMohamed Ben HalimaMounir Ben Ayed
- Journals
- SHILAP Revista de lepidopterología (1 paper)GeoInformatica (1 paper)AIMS Mathematics (1 paper)
In The Last Decade
Ahmed Kharrat
15 papers receiving 221 citations
Peers
Comparison fields: 5 of 56
- Neurology 136
- Computer Vision and Pattern Recognition 135
- Signal Processing 51
- Geography, Planning and Development 17
- Artificial Intelligence 80
Countries citing papers authored by Ahmed Kharrat
This map shows the geographic impact of Ahmed Kharrat'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 Ahmed Kharrat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed Kharrat more than expected).
Fields of papers citing papers by Ahmed Kharrat
This network shows the impact of papers produced by Ahmed Kharrat. 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 Ahmed Kharrat. The network helps show where Ahmed Kharrat may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Ahmed Kharrat, 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 | 2024 | 4 | |
| 2 | 2022 | 3 | |
| 3 | 2020 | 5 | |
| 4 | Feature selection based on hybrid optimization for magnetic resonance imaging brain tumor classification and segmentation | 2019 | 5 |
| 5 | 2019 | 10 | |
| 6 | 2015 | 30 | |
| 7 | 2014 | 51 | |
| 8 | 2014 | 4 | |
| 9 | 2014 | 4 | |
| 10 | 2011 | 14 | |
| 11 | 2011 | 4 | |
| 12 | 2011 | 1 | |
| 13 | 2010 | 34 | |
| 14 | 2009 | 4 | |
| 15 | 2009 | 81 |
About Ahmed Kharrat
Ahmed Kharrat is a scholar working on Neurology, Computer Vision and Pattern Recognition and Urban Studies, having authored 15 papers that have together received 254 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (10 papers), Medical Image Segmentation Techniques (7 papers), Advanced Neural Network Applications (5 papers), Neural Networks and Applications (3 papers), Advanced Image Fusion Techniques (2 papers), Machine Learning and ELM (2 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Computing and Algorithms (2 papers). The work is most often cited by research in Neurology (136 citations), Computer Vision and Pattern Recognition (135 citations) and Signal Processing (51 citations). Ahmed Kharrat has collaborated with scholars based in Tunisia, Algeria and France. Frequent co-authors include Mohamed Abid, Nacéra Benamrane, Karine Zeitouni, Vincent Oria, Iulian Sandu Popa, Mahmoud Néji, Mohamed Ben Halima, Mounir Ben Ayed, Karim Gasmi and Sami Faïz. Their work appears in journals such as SHILAP Revista de lepidopterología, GeoInformatica and AIMS Mathematics.
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.