Somaya Al-Máadeed
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Biomedical Engineering top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Polymers and Plastics top 2%
- Co-authors
- Omar ElharroussAhmed BouridaneNoor AlmaadeedDeepalekshmi PonnammaHemalatha ParangusanNandhini SubramanianMuhammad E. H. ChowdhuryAbdelǎali Hassaïne
- Topics
- Handwritten Text Recognition Techniques (49 papers)Video Surveillance and Tracking Methods (33 papers)Image Processing and 3D Reconstruction (20 papers)
- Partner nations
- QatarUnited KingdomUnited Arab Emirates
In The Last Decade
Somaya Al-Máadeed
276 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Computer Vision and Pattern Recognition 2.7k
- Artificial Intelligence 1.7k
- Biomedical Engineering 1.3k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Polymers and Plastics 804
Countries citing papers authored by Somaya Al-Máadeed
This map shows the geographic impact of Somaya Al-Máadeed'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 Somaya Al-Máadeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somaya Al-Máadeed more than expected).
Fields of papers citing papers by Somaya Al-Máadeed
This network shows the impact of papers produced by Somaya Al-Máadeed. 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 Somaya Al-Máadeed. The network helps show where Somaya Al-Máadeed may publish in the future.
Co-authorship network of co-authors of Somaya Al-Máadeed
This figure shows the co-authorship network connecting the top 25 collaborators of Somaya Al-Máadeed. A scholar is included among the top collaborators of Somaya Al-Máadeed 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 Somaya Al-Máadeed. Somaya Al-Máadeed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 31 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 76 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 22 | |
| 9 | COVID-19 infection localization and severity grading from chest X-ray imagesbreakdown → | 116 |
| 10 | 21 | |
| 11 | 88 | |
| 12 | 29 | |
| 13 | 2 | |
| 14 | 29 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 47 | |
| 18 | 10 | |
| 19 | Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era | 6 |
| 20 | A Data Base for Arabic Handwritten Text Recognition Research. | 13 |
About Somaya Al-Máadeed
Somaya Al-Máadeed is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 292 papers that have together received 7.0k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (49 papers), Video Surveillance and Tracking Methods (33 papers) and Image Processing and 3D Reconstruction (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Health Informatics (136 citations) and Media Technology (563 citations). Somaya Al-Máadeed has collaborated with scholars based in Qatar, United Kingdom and United Arab Emirates. Frequent co-authors include Omar Elharrouss, Ahmed Bouridane, Noor Almaadeed, Deepalekshmi Ponnamma, Hemalatha Parangusan, Nandhini Subramanian, Muhammad E. H. Chowdhury, Abdelǎali Hassaïne, Amith Khandakar and Tawsifur Rahman. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.
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.