Zakaria Elberrichi

23 papers and 213 indexed citations i.

About

Zakaria Elberrichi is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zakaria Elberrichi has authored 23 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zakaria Elberrichi’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers) and Text and Document Classification Technologies (5 papers). Zakaria Elberrichi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers) and Text and Document Classification Technologies (5 papers). Zakaria Elberrichi collaborates with scholars based in Algeria, France and Poland. Zakaria Elberrichi's co-authors include Abdelmalek Amine, Abdellatif Rahmoun, Michel Simonet, Ladjel Bellatreche, Robert Wrembel, Erich Neuhold, Hanene Azzag, Mustapha Lebbah and David Helbert and has published in prestigious journals such as Lecture notes in computer science, Applied Intelligence and Evolving Systems.

In The Last Decade

Co-authorship network of co-authors of Zakaria Elberrichi i

Fields of papers citing papers by Zakaria Elberrichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zakaria Elberrichi

Since Specialization
Citations

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