Uzair Khan
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Media Technology top 5%
- Co-authors
- Mohsin ShahzadZahid MahmoodSufyan Ali MemonTaek Lyul SongFarhan HussainNazeer MuhammadP. KrishnamurthyAndrew Karellas
- Topics
- Target Tracking and Data Fusion in Sensor Networks (16 papers)Infrared Target Detection Methodologies (7 papers)Guidance and Control Systems (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors
- Partner nations
- PakistanSouth KoreaChina
In The Last Decade
Uzair Khan
49 papers receiving 445 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 142
- Electrical and Electronic Engineering 124
- Artificial Intelligence 109
- Aerospace Engineering 98
- Media Technology 70
Countries citing papers authored by Uzair Khan
This map shows the geographic impact of Uzair Khan'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 Uzair Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uzair Khan more than expected).
Fields of papers citing papers by Uzair Khan
This network shows the impact of papers produced by Uzair Khan. 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 Uzair Khan. The network helps show where Uzair Khan may publish in the future.
Co-authorship network of co-authors of Uzair Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Uzair Khan. A scholar is included among the top collaborators of Uzair Khan 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 Uzair Khan. Uzair Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 20 | |
| 5 | 11 | |
| 6 | 51 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 23 | |
| 11 | 9 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 23 | |
| 18 | 4 | |
| 19 | Multiple Passive Sensor-based Active Vehicle Protection with Smoothing for Maneuvering Targets | 1 |
| 20 | A fixed lag smoothing IPDA tracking in clutter | 8 |
About Uzair Khan
Uzair Khan is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 464 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (16 papers), Infrared Target Detection Methodologies (7 papers) and Guidance and Control Systems (6 papers). The work is most often cited by research in Media Technology (70 citations), Gastroenterology (44 citations) and Computer Vision and Pattern Recognition (142 citations). Uzair Khan has collaborated with scholars based in Pakistan, South Korea and China. Frequent co-authors include Mohsin Shahzad, Zahid Mahmood, Sufyan Ali Memon, Taek Lyul Song, Farhan Hussain, Nazeer Muhammad, P. Krishnamurthy, Andrew Karellas, David R. Cave and Kamran Sayrafian. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.
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.