Amel Ksibi
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Image and Video Retrieval Techniques 14
- Image Retrieval and Classification Techniques 12
- Multimodal Machine Learning Applications 6
- Video Surveillance and Tracking Methods 5
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- AI in cancer detection 8
- Co-authors
- Manel Ayadi (22 shared papers)Ben Othman Soufiene (4 shared papers)Mona Jamjoom (4 shared papers)Ala Saleh Alluhaidan (8 shared papers)Zahid Ullah (3 shared papers)Mohammed Zakariah (9 shared papers)Amal Al‐Rasheed (7 shared papers)Hédi Sakli (3 shared papers)
- Journals
- Scientific Reports (6 papers)Electronics (6 papers)IEEE Access (6 papers)Annals of Physical and Rehabilitation Medicine (4 papers)Sensors (2 papers)
- Partner nations
- Saudi ArabiaTunisiaIndia
In The Last Decade
Amel Ksibi
72 papers receiving 673 citations
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 192
- Health Informatics 8
- Signal Processing 62
- Artificial Intelligence 174
- Safety, Risk, Reliability and Quality 47
Countries citing papers authored by Amel Ksibi
This map shows the geographic impact of Amel Ksibi'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 Amel Ksibi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amel Ksibi more than expected).
Fields of papers citing papers by Amel Ksibi
This network shows the impact of papers produced by Amel Ksibi. 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 Amel Ksibi. The network helps show where Amel Ksibi may publish in the future.
Co-authors
The 25 scholars most cited alongside Amel Ksibi, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 58 | |
| 2 | 2022 | 41 | |
| 3 | 2023 | 36 | |
| 4 | 2023 | 31 | |
| 5 | 2023 | 31 | |
| 6 | 2022 | 28 | |
| 7 | 2023 | 26 | |
| 8 | 2023 | 24 | |
| 9 | 2023 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2023 | 23 | |
| 12 | 2022 | 20 | |
| 13 | 2023 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2015 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2023 | 11 |
About Amel Ksibi
Amel Ksibi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Surgery, having authored 78 papers that have together received 712 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Image Retrieval and Classification Techniques (12 papers), AI in cancer detection (8 papers), COVID-19 diagnosis using AI (6 papers), Multimodal Machine Learning Applications (6 papers), Video Surveillance and Tracking Methods (5 papers), Network Security and Intrusion Detection (5 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (192 citations), Health Informatics (8 citations), Signal Processing (62 citations), Artificial Intelligence (174 citations) and Safety, Risk, Reliability and Quality (47 citations). Amel Ksibi has collaborated with scholars based in Saudi Arabia, Tunisia and India. Frequent co-authors include Manel Ayadi, Ben Othman Soufiene, Mona Jamjoom, Ala Saleh Alluhaidan, Zahid Ullah, Mohammed Zakariah, Amal Al‐Rasheed, Hédi Sakli, Monia Hamdi and Leila Jamel. Their work appears in journals such as Scientific Reports, Electronics, IEEE Access, Annals of Physical and Rehabilitation Medicine and Sensors.
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.