Omar Arif

20 papers and 265 indexed citations i.

About

Omar Arif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Omar Arif has authored 20 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Omar Arif’s work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). Omar Arif is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). Omar Arif collaborates with scholars based in Pakistan, United States and United Kingdom. Omar Arif's co-authors include Patricio A. Vela, Jochen Teizer, Jun Yang, Shi Zhong-ke, Hammad Afzal, Haider Abbas, Raheel Nawaz, Muhammad Faisal Amjad, Rafia Mumtaz and Zahid Anwar and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Omar Arif i

Fields of papers citing papers by Omar Arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Omar Arif

Since Specialization
Citations

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