Hussein S. Abdul-Rahman
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Atomic and Molecular Physics, and Optics
- Computational Mechanics
- Co-authors
- David R. BurtonMunther GdeisatMichael J. LalorFrancis LilleyChristopher J. MoorePaul J. ScottXiangqian JiangChristopher Moore
- Topics
- Optical measurement and interference techniques (7 papers)Image Processing Techniques and Applications (5 papers)Advanced Vision and Imaging (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionMedia Technology
- Partner nations
- United KingdomRussiaSaudi Arabia
In The Last Decade
Hussein S. Abdul-Rahman
11 papers receiving 364 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 182
- Computer Vision and Pattern Recognition 97
- Mechanical Engineering 47
- Atomic and Molecular Physics, and Optics 42
- Computational Mechanics 38
Countries citing papers authored by Hussein S. Abdul-Rahman
This map shows the geographic impact of Hussein S. Abdul-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 Hussein S. Abdul-Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hussein S. Abdul-Rahman more than expected).
Fields of papers citing papers by Hussein S. Abdul-Rahman
This network shows the impact of papers produced by Hussein S. Abdul-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 Hussein S. Abdul-Rahman. The network helps show where Hussein S. Abdul-Rahman may publish in the future.
Co-authorship network of co-authors of Hussein S. Abdul-Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Hussein S. Abdul-Rahman. A scholar is included among the top collaborators of Hussein S. Abdul-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 Hussein S. Abdul-Rahman. Hussein S. Abdul-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 | Use of Morphological Method to Investigate the Influence of Surface Texture on Dimensional Measurement of Additively Manufactured Parts | 1 |
| 3 | Extraction of Process Signature Features from Additive Manufactured Metal Surfaces | 1 |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 40 | |
| 7 | Fringe reflection technique for heliostats: A comparison between two phase retrieval methods | 3 |
| 8 | 22 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 234 | |
| 12 | 38 |
About Hussein S. Abdul-Rahman
Hussein S. Abdul-Rahman is a scholar working on Computer Graphics and Computer-Aided Design, Media Technology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 371 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (7 papers), Image Processing Techniques and Applications (5 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (182 citations), Computer Vision and Pattern Recognition (97 citations) and Media Technology (37 citations). Hussein S. Abdul-Rahman has collaborated with scholars based in United Kingdom, Russia and Saudi Arabia. Frequent co-authors include David R. Burton, Munther Gdeisat, Michael J. Lalor, Francis Lilley, Christopher J. Moore, Paul J. Scott, Xiangqian Jiang, Christopher Moore, Shan Lou and Miguel Arevalillo‐Herráez. Their work appears in journals such as Measurement Science and Technology, Measurement and Optics and Lasers in Engineering.
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.