Rahaf Aljundi

16 papers and 1.5k indexed citations i.

About

Rahaf Aljundi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rahaf Aljundi has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rahaf Aljundi’s work include Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (8 papers) and COVID-19 diagnosis using AI (5 papers). Rahaf Aljundi is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (8 papers) and COVID-19 diagnosis using AI (5 papers). Rahaf Aljundi collaborates with scholars based in Belgium, Switzerland and Czechia. Rahaf Aljundi's co-authors include Tinne Tuytelaars, Marc Masana, Sarah Parisot, Aleš Leonardis, Greg Slabaugh, Punarjay Chakravarty, Xu Jia, Klaas Kelchtermans, Min Lin and Eugene Belilovsky and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Rahaf Aljundi i

Fields of papers citing papers by Rahaf Aljundi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rahaf Aljundi

Since Specialization
Citations

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