Eden Belouadah

About

Eden Belouadah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eden Belouadah has authored 6 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eden Belouadah’s work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (4 papers) and Machine Learning and ELM (2 papers). Eden Belouadah is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (4 papers) and Machine Learning and ELM (2 papers). Eden Belouadah collaborates with scholars based in France and Romania. Eden Belouadah's co-authors include Adrian Popescu, Ioannis Kanellos, Darian M. Onchiş and Céline Hudelot and has published in prestigious journals such as Neural Networks, Multimedia Tools and Applications and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Eden Belouadah i

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Fields of papers citing papers by Eden Belouadah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eden Belouadah

Since Specialization

Citations

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