Amel Ksibi

56 papers and 378 indexed citations i.

About

Amel Ksibi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Amel Ksibi has authored 56 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Amel Ksibi’s work include AI in cancer detection (7 papers), COVID-19 diagnosis using AI (6 papers) and Network Security and Intrusion Detection (5 papers). Amel Ksibi is often cited by papers focused on AI in cancer detection (7 papers), COVID-19 diagnosis using AI (6 papers) and Network Security and Intrusion Detection (5 papers). Amel Ksibi collaborates with scholars based in Saudi Arabia, Tunisia and India. Amel Ksibi's co-authors include Manel Ayadi, Ben Othman Soufiene, Zahid Ullah, Mona Jamjoom, Ala Saleh Alluhaidan, Mohammed Zakariah, Amal Al‐Rasheed, Hèdi Sakli, Monia Hamdi and Nazik Alturki and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Amel Ksibi i

Fields of papers citing papers by Amel Ksibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Amel Ksibi

Since Specialization
Citations

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).

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.

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2025