Amjad Almahairi

About

Amjad Almahairi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Amjad Almahairi has authored 9 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Amjad Almahairi’s work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Topic Modeling (3 papers). Amjad Almahairi is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Topic Modeling (3 papers). Amjad Almahairi collaborates with scholars based in United States, Canada and China. Amjad Almahairi's co-authors include Aaron Courville, Philip Bachman, Alessandro Sordoni, Hugo Larochelle, Yin Zheng, Nicolas Ballas, Madian Khabsa, Tim Cooijmans, Lambert Mathias and Hao Ma and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Amjad Almahairi i

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Fields of papers citing papers by Amjad Almahairi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amjad Almahairi

Since Specialization

Citations

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