Hamam Mokayed
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 10
- Advanced Neural Network Applications 7
- Video Surveillance and Tracking Methods 6
- Advanced Image and Video Retrieval Techniques 4
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- AI in cancer detection 7
- Co-authors
- Marcus Liwicki (15 shared papers)Mathias Seuret (2 shared papers)Wun‐She Yap (6 shared papers)Khin Wee Lai (5 shared papers)Yan Chai Hum (10 shared papers)Rajkumar Saini (9 shared papers)Yee Kai Tee (5 shared papers)Palaiahnakote Shivakumara (7 shared papers)
In The Last Decade
Hamam Mokayed
39 papers receiving 373 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 164
- Media Technology 50
- Artificial Intelligence 108
- Computer Graphics and Computer-Aided Design 11
- Industrial and Manufacturing Engineering 27
Countries citing papers authored by Hamam Mokayed
This map shows the geographic impact of Hamam Mokayed'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 Hamam Mokayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamam Mokayed more than expected).
Fields of papers citing papers by Hamam Mokayed
This network shows the impact of papers produced by Hamam Mokayed. 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 Hamam Mokayed. The network helps show where Hamam Mokayed may publish in the future.
Co-authors
The 25 scholars most cited alongside Hamam Mokayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 55 | |
| 2 | 2022 | 33 | |
| 3 | 2022 | 32 | |
| 4 | 2023 | 28 | |
| 5 | 2021 | 24 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 19 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2009 | 9 | |
| 14 | Fusion of multi-classifiers for online signature verification using fuzzy logic inference | 2011 | 7 |
| 15 | 2022 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2025 | 5 |
About Hamam Mokayed
Hamam Mokayed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 386 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (10 papers), Advanced Neural Network Applications (7 papers), AI in cancer detection (7 papers), Video Surveillance and Tracking Methods (6 papers), Vehicle License Plate Recognition (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Media Technology (50 citations), Artificial Intelligence (108 citations), Computer Graphics and Computer-Aided Design (11 citations) and Industrial and Manufacturing Engineering (27 citations). Hamam Mokayed has collaborated with scholars based in Sweden, Malaysia and India. Frequent co-authors include Marcus Liwicki, Mathias Seuret, Wun‐She Yap, Khin Wee Lai, Yan Chai Hum, Rajkumar Saini, Yee Kai Tee, Palaiahnakote Shivakumara, Umapada Pal and Jerker Delsing. Their work appears in journals such as Scientific Reports, Sensors, Pattern Recognition Letters, Scientific Data and International journal of innovative computing, information & control.
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.