Moez Baccouche

8 papers and 556 indexed citations i.

About

Moez Baccouche is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Moez Baccouche has authored 8 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Moez Baccouche’s work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Face recognition and analysis (3 papers). Moez Baccouche is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Face recognition and analysis (3 papers). Moez Baccouche collaborates with scholars based in France, United States and South Korea. Moez Baccouche's co-authors include Grigory Antipov, Jean‐Luc Dugelay, Stéphane Pateux, Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Frédéric Jurie, Sid-Ahmed Berrani, Christian Wolf, Julien Mille and Bülent Sankur and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Visualization and Computer Graphics and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Moez Baccouche i

Fields of papers citing papers by Moez Baccouche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moez Baccouche

Since Specialization
Citations

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