Hanane Allioui

15 papers and 272 indexed citations i.

About

Hanane Allioui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Hanane Allioui has authored 15 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Neurology. Recurrent topics in Hanane Allioui’s work include Medical Image Segmentation Techniques (3 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (2 papers). Hanane Allioui is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (2 papers). Hanane Allioui collaborates with scholars based in Morocco, Iraq and Tunisia. Hanane Allioui's co-authors include Youssef Mourdi, Mohamed Sadgal, Abdelaziz El Fazziki, Begonya García-Zapirain, Mazin Abed Mohammed, Robertas Damaševičius, Karrar Hameed Abdulkareem, Rytis Maskeliūnas and Belal Al‐Khateeb and has published in prestigious journals such as Sensors, Multimedia Tools and Applications and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Co-authorship network of co-authors of Hanane Allioui i

Fields of papers citing papers by Hanane Allioui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hanane Allioui

Since Specialization
Citations

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