Muzammal Naseer

27 papers and 1.8k indexed citations i.

About

Muzammal Naseer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muzammal Naseer has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muzammal Naseer’s work include Multimodal Machine Learning Applications (7 papers), Adversarial Robustness in Machine Learning (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Muzammal Naseer is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Adversarial Robustness in Machine Learning (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Muzammal Naseer collaborates with scholars based in United Arab Emirates, Australia and United States. Muzammal Naseer's co-authors include Salman Khan, Fahad Shahbaz Khan, Munawar Hayat, Mubarak Shah, Syed Waqas Zamir, Fatih Porikli, Salman Khan, Kanchana Ranasinghe, Salman Khan and Michael S. Ryoo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Geophysics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Muzammal Naseer i

Fields of papers citing papers by Muzammal Naseer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muzammal Naseer

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025