Muhammad Abdullah Jamal

About

Muhammad Abdullah Jamal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Muhammad Abdullah Jamal has authored 3 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Muhammad Abdullah Jamal’s work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Neonatal and fetal brain pathology (1 paper). Muhammad Abdullah Jamal is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Neonatal and fetal brain pathology (1 paper). Muhammad Abdullah Jamal collaborates with scholars based in United States and Pakistan. Muhammad Abdullah Jamal's co-authors include Liqiang Wang, Boqing Gong, Ming–Hsuan Yang, Matthew A. Brown and Rehan Hafiz and has published in prestigious journals such as Multimedia Systems, 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 Muhammad Abdullah Jamal i

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Fields of papers citing papers by Muhammad Abdullah Jamal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Abdullah Jamal. 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 Muhammad Abdullah Jamal. The network helps show where Muhammad Abdullah Jamal may publish in the future.

Countries citing papers authored by Muhammad Abdullah Jamal

Since Specialization

Citations

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