Muhammad Uzair

82 total papers · 1.6k total citations
54 papers, 992 citations indexed

About

Muhammad Uzair is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Muhammad Uzair has authored 54 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Muhammad Uzair's work include Face and Expression Recognition (9 papers), Video Surveillance and Tracking Methods (7 papers) and Infrared Target Detection Methodologies (6 papers). Muhammad Uzair is often cited by papers focused on Face and Expression Recognition (9 papers), Video Surveillance and Tracking Methods (7 papers) and Infrared Target Detection Methodologies (6 papers). Muhammad Uzair collaborates with scholars based in Pakistan, Australia and Saudi Arabia. Muhammad Uzair's co-authors include Ajmal Mian, Arif Mahmood, Mohib Ullah, Habib Ullah, Rizwan Qureshi, Khurram Khurshid, Sultan Daud Khan, Faouzi Alaya Cheikh, Hong Yan and Russell S. A. Brinkworth and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Optics Express.

In The Last Decade

Muhammad Uzair

50 papers receiving 967 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muhammad Uzair 446 231 224 108 107 54 992
Raymond Ptucha 617 1.4× 329 1.4× 141 0.6× 140 1.3× 52 0.5× 76 1.1k
Ahmed Sedik 402 0.9× 288 1.2× 100 0.4× 136 1.3× 85 0.8× 56 1.0k
Brendan McCane 554 1.2× 164 0.7× 104 0.5× 56 0.5× 95 0.9× 73 1.1k
Riad Hammoud 766 1.7× 214 0.9× 189 0.8× 108 1.0× 56 0.5× 71 1.2k
Siu‐Yeung Cho 604 1.4× 116 0.5× 128 0.6× 65 0.6× 42 0.4× 57 920
Ming Zhang 695 1.6× 180 0.8× 313 1.4× 91 0.8× 45 0.4× 42 1.1k
Peng Zhang 196 0.4× 251 1.1× 228 1.0× 66 0.6× 190 1.8× 69 822
Habib Ullah 522 1.2× 330 1.4× 60 0.3× 98 0.9× 92 0.9× 96 1.1k
Yue Ming 723 1.6× 220 1.0× 132 0.6× 143 1.3× 27 0.3× 97 1.1k
Lin Feng 562 1.3× 277 1.2× 115 0.5× 232 2.1× 175 1.6× 93 1.2k

Countries citing papers authored by Muhammad Uzair

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Uzair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Uzair

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Uzair. A scholar is included among the top collaborators of Muhammad Uzair based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Uzair. Muhammad Uzair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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