Muhammad Arslan Usman
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Co-authors
- Muhammad Rehan UsmanSoo Young ShinChristos PolitisMaryam SaleemLiyuan DengZhongde DaiGandeva Bayu SatryaNada Philip
- Topics
- Image and Video Quality Assessment (14 papers)Video Coding and Compression Technologies (12 papers)Advanced Data Compression Techniques (8 papers)
- Partner nations
- South KoreaUnited KingdomPakistan
In The Last Decade
Muhammad Arslan Usman
51 papers receiving 558 citations
Peers
Comparison fields: 5 of 79
- Electrical and Electronic Engineering 210
- Computer Vision and Pattern Recognition 151
- Mechanical Engineering 87
- Computer Networks and Communications 76
- Biomedical Engineering 69
Countries citing papers authored by Muhammad Arslan Usman
This map shows the geographic impact of Muhammad Arslan Usman'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 Arslan Usman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Arslan Usman more than expected).
Fields of papers citing papers by Muhammad Arslan Usman
This network shows the impact of papers produced by Muhammad Arslan Usman. 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 Arslan Usman. The network helps show where Muhammad Arslan Usman may publish in the future.
Co-authorship network of co-authors of Muhammad Arslan Usman
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arslan Usman. A scholar is included among the top collaborators of Muhammad Arslan Usman 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 Arslan Usman. Muhammad Arslan Usman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 21 | |
| 12 | On the Performance of Edge Detection Algorithms in Wireless Capsule Endoscopy Videos | 1 |
| 13 | 6 | |
| 14 | 40 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | De-Convolution of images obtained by Correlation of Direct and Reflected GPS Signals | 1 |
| 19 | 4 | |
| 20 | 4 |
About Muhammad Arslan Usman
Muhammad Arslan Usman is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Filtration and Separation, having authored 56 papers that have together received 579 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (14 papers), Video Coding and Compression Technologies (12 papers) and Advanced Data Compression Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Signal Processing (64 citations) and Gastroenterology (32 citations). Muhammad Arslan Usman has collaborated with scholars based in South Korea, United Kingdom and Pakistan. Frequent co-authors include Muhammad Rehan Usman, Soo Young Shin, Christos Politis, Maryam Saleem, Liyuan Deng, Zhongde Dai, Gandeva Bayu Satrya, Nada Philip, Jun Li and Zhiwen Qi. Their work appears in journals such as IEEE Access, Nutrients and International Journal of Environmental Research and Public Health.
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.