Bouchaib Cherradi

53 papers and 454 indexed citations i.

About

Bouchaib Cherradi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bouchaib Cherradi has authored 53 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bouchaib Cherradi’s work include AI in cancer detection (8 papers), COVID-19 diagnosis using AI (7 papers) and Artificial Intelligence in Healthcare (7 papers). Bouchaib Cherradi is often cited by papers focused on AI in cancer detection (8 papers), COVID-19 diagnosis using AI (7 papers) and Artificial Intelligence in Healthcare (7 papers). Bouchaib Cherradi collaborates with scholars based in Morocco, Saudi Arabia and France. Bouchaib Cherradi's co-authors include Abdelhadi Raihani, Omar Bouattane, Oussama El Gannour, Soufiane Hamida, Oumaima Terrada, Lhoussain Bahatti, Mohamed Youssfi, Amal Tmiri, Faisal Saeed and Mohammed Al-Sarem and has published in prestigious journals such as IEEE Access, Heliyon and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Bouchaib Cherradi i

Fields of papers citing papers by Bouchaib Cherradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bouchaib Cherradi. 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 Bouchaib Cherradi. The network helps show where Bouchaib Cherradi may publish in the future.

Countries citing papers authored by Bouchaib Cherradi

Since Specialization
Citations

This map shows the geographic impact of Bouchaib Cherradi'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 Bouchaib Cherradi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bouchaib Cherradi 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