Aicha Majda

14 papers and 234 indexed citations i.

About

Aicha Majda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Aicha Majda has authored 14 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Aicha Majda’s work include Face recognition and analysis (5 papers), Advanced Neural Network Applications (3 papers) and Face and Expression Recognition (3 papers). Aicha Majda is often cited by papers focused on Face recognition and analysis (5 papers), Advanced Neural Network Applications (3 papers) and Face and Expression Recognition (3 papers). Aicha Majda collaborates with scholars based in Morocco, Ireland and France. Aicha Majda's co-authors include Arsalane Zarghili, Rachid Aalouane, Djamal Merad, Nikola S. Nikolov and Khalid Zenkouar and has published in prestigious journals such as Machine Vision and Applications, Journal of King Saud University - Computer and Information Sciences and IET Image Processing.

In The Last Decade

Co-authorship network of co-authors of Aicha Majda i

Fields of papers citing papers by Aicha Majda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aicha Majda

Since Specialization
Citations

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