Zia-ur Rahman
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 2%
- Neurology top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Muhammad AamirDaniel J. JobsonGlenn A. WoodellYi‐Fei PuYurong GuanZhihua HuWaheed Ahmed AbroZaheer Ahmed Dayo
- Topics
- Image Enhancement Techniques (16 papers)Advanced Image Processing Techniques (12 papers)Advanced Image Fusion Techniques (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessRSC Advances
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Zia-ur Rahman
65 papers receiving 904 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 672
- Media Technology 244
- Neurology 199
- Artificial Intelligence 121
- Electrical and Electronic Engineering 99
Countries citing papers authored by Zia-ur Rahman
This map shows the geographic impact of Zia-ur Rahman'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 Zia-ur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zia-ur Rahman more than expected).
Fields of papers citing papers by Zia-ur Rahman
This network shows the impact of papers produced by Zia-ur Rahman. 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 Zia-ur Rahman. The network helps show where Zia-ur Rahman may publish in the future.
Co-authorship network of co-authors of Zia-ur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Zia-ur Rahman. A scholar is included among the top collaborators of Zia-ur Rahman 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 Zia-ur Rahman. Zia-ur Rahman 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 | 2 | |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 41 | |
| 12 | 32 | |
| 13 | 60 | |
| 14 | 24 | |
| 15 | 23 | |
| 16 | 32 | |
| 17 | A Hybrid Proposed Framework for Object Detection and Classification | 12 |
| 18 | Visual Information Processing XV | 2 |
| 19 | Advanced Image Processing of Aerial Imagery | 5 |
| 20 | 20 |
About Zia-ur Rahman
Zia-ur Rahman is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiation, having authored 69 papers that have together received 963 indexed citations. Recurring topics across this work include Image Enhancement Techniques (16 papers), Advanced Image Processing Techniques (12 papers) and Advanced Image Fusion Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (672 citations), Media Technology (244 citations) and Neurology (199 citations). Zia-ur Rahman has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Muhammad Aamir, Daniel J. Jobson, Glenn A. Woodell, Yi‐Fei Pu, Yurong Guan, Zhihua Hu, Waheed Ahmed Abro, Zaheer Ahmed Dayo, Muhammad Ishfaq and Qiang Dai. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and RSC Advances.
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.