Muhammad Uzair
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Noreen JamilGhulam AbbasMohsin JamilMuhammad Nasir KhanSyed Omer GilaniMohammad Rashid HussainFarooq AftabAyman Qahmash
- Topics
- Image and Video Quality Assessment (6 papers)Advanced Image Processing Techniques (5 papers)Video Surveillance and Tracking Methods (3 papers)
- Cited by
- Energy Engineering and Power TechnologyAutomotive EngineeringControl and Systems Engineering
- Partner nations
- PakistanSaudi ArabiaCanada
In The Last Decade
Muhammad Uzair
33 papers receiving 620 citations
Peers
Comparison fields: 5 of 121
- Electrical and Electronic Engineering 295
- Control and Systems Engineering 149
- Automotive Engineering 104
- Artificial Intelligence 83
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Muhammad Uzair
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 80 | |
| 9 | 77 | |
| 10 | 3 | |
| 11 | 30 | |
| 12 | Human Physical Status detection related to Danger Situations based on Smartwatch and Smartphone | 2 |
| 13 | 24 | |
| 14 | 10 | |
| 15 | 33 | |
| 16 | 38 | |
| 17 | 2 | |
| 18 | An efficient no-reference blockiness metric for intra-coded video frames | 6 |
| 19 | 2 | |
| 20 | Comparisons of Color Spaces for Shadow Elimination | 0 |
About Muhammad Uzair
Muhammad Uzair is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Aerospace Engineering, having authored 38 papers that have together received 649 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (6 papers), Advanced Image Processing Techniques (5 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (32 citations), Automotive Engineering (104 citations) and Control and Systems Engineering (149 citations). Muhammad Uzair has collaborated with scholars based in Pakistan, Saudi Arabia and Canada. Frequent co-authors include Noreen Jamil, Ghulam Abbas, Mohsin Jamil, Muhammad Nasir Khan, Syed Omer Gilani, Mohammad Rashid Hussain, Farooq Aftab, Ayman Qahmash, Qasim Awais and Abdulmohsen Algarni. Their work appears in journals such as IEEE Access, Sensors and Energy and Buildings.
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.